Is Agile Failing in the Age of AI?
Published:
Agile transformed software development by adapting to changing requirements. But what happens when AI dramatically reduces the cost of implementation? Are we still optimizing for the right bottleneck?
Posts by Tags
agile
agile software development
Is Agile Failing in the Age of AI?
Published:
Agile transformed software development by adapting to changing requirements. But what happens when AI dramatically reduces the cost of implementation? Are we still optimizing for the right bottleneck?
ai
From Code Generation to Application Generation, Part 8: If Agents Are Doing the Coding, What Am I Doing?
Published:
If coding agents handle more implementation, the human role does not disappear. It moves toward mission, judgment, validation, integration, accountability, and helping more organizations use software well.
From Code Generation to Application Generation, Part 7: How Mission-Driven Engineering Happened
Published:
Mission-Driven Engineering did not start as a framework. It started when I realized I was using coding agents to manage UI screens, data layers, and implementation artifacts instead of asking them to satisfy the outcome I actually cared about.
From Code Generation to Application Generation, Part 6: Inside Mission-Driven Engineering
Published:
A practical walk-through of Mission-Driven Engineering: how missions, validations, generations, learning loops, and shared MDE memory turn AI coding agents into application-generation systems.
From Code Generation to Application Generation, Part 5: Why I Ended Up Looking Back at Model-Driven Engineering
Published:
AI application generation feels new, but it echoes Model-Driven Engineering: humans describe intent, machines generate implementation, and independent validation decides whether the result actually works.
From Code Generation to Application Generation, Part 4: My Coding Agents Are Productive. I Am Exhausted.
Published:
AI coding agents can make implementation dramatically faster, but they also create a new bottleneck: the human cost of managing context, attention, and learning across many parallel projects.
The End of Software Scarcity, Part 4: Rosa’s Story — Lead Workflow
Published:
A website is only the front door. In this article, I explore how an AI-enabled conversation becomes part of a small operations system for leads, clients, jobs, reviews, videos, and ads.
From Code Generation to Application Generation, Part 3: Why I Stopped Looking at Generated Code
Published:
As AI coding agents improved, the generated code became less interesting than the final application outcome. The question shifted from whether the code looked right to whether the application solved the problem.
From Code Generation to Application Generation, Part 2: I Knew How to Fix It, But Wasn’t Sure You Wanted It Fixed
Published:
Most of my interaction with coding agents became copying error messages from build systems and asking the agent to fix them. That raised an uncomfortable question: why was I in the loop at all?
From Code Generation to Application Generation, Part 1: When Does the Agent Stop?
Published:
I initially trusted AI through code generation because code could be validated. What surprised me was discovering that the hardest problem was no longer implementation, but defining when the work was actually complete.
The End of Software Scarcity, Part 3: Rosa’s Story — Website & AI Chat
Published:
Building the website was easy. The more interesting question was whether a small business could afford an AI-powered customer experience with virtually no recurring software costs.
Is Agile Failing in the Age of AI?
Published:
Agile transformed software development by adapting to changing requirements. But what happens when AI dramatically reduces the cost of implementation? Are we still optimizing for the right bottleneck?
AI Doesn’t Have a Coding Problem. Enterprises Have a Permission Problem.
Published:
What if the biggest obstacle to AI transformation isn’t the technology, but the way we’ve organized our companies?
The End of Software Scarcity, Part 2: Rosa’s Story
Published:
In my previous article, I argued that AI-assisted development may be bringing an end to software scarcity. This article tests that idea through a real-world project with a local small business owner.
The End of Software Scarcity, Part 1: Why Software Can Adapt to the Business
Published:
For decades, organizations adapted themselves to software because software was expensive to build and maintain. AI-assisted development may reverse that relationship, making it practical for software to adapt to the unique needs of individual organizations.
Artificial Intelligent Retail Search is here!-In Progress
Published:
In this article, I explore the evolution of retail search and attempt to predict the future of retail search
Artificial Intelligent Retail Search is here! (2) - The Data Science Era
Published:
Moving beyond simple keyword matching. How the industry transitioned to hybrid systems, query understanding, and the “Builder’s Era” of search relevance.
Artificial Intelligent Retail Search is here! (1) - The Legacy & The Problem
Published:
A look back at the “Black Box” era of retail search, why we moved away from it, and the fundamental tension between finding products and making money.
ai agents
From Code Generation to Application Generation, Part 8: If Agents Are Doing the Coding, What Am I Doing?
Published:
If coding agents handle more implementation, the human role does not disappear. It moves toward mission, judgment, validation, integration, accountability, and helping more organizations use software well.
From Code Generation to Application Generation, Part 7: How Mission-Driven Engineering Happened
Published:
Mission-Driven Engineering did not start as a framework. It started when I realized I was using coding agents to manage UI screens, data layers, and implementation artifacts instead of asking them to satisfy the outcome I actually cared about.
From Code Generation to Application Generation, Part 6: Inside Mission-Driven Engineering
Published:
A practical walk-through of Mission-Driven Engineering: how missions, validations, generations, learning loops, and shared MDE memory turn AI coding agents into application-generation systems.
From Code Generation to Application Generation, Part 5: Why I Ended Up Looking Back at Model-Driven Engineering
Published:
AI application generation feels new, but it echoes Model-Driven Engineering: humans describe intent, machines generate implementation, and independent validation decides whether the result actually works.
From Code Generation to Application Generation, Part 4: My Coding Agents Are Productive. I Am Exhausted.
Published:
AI coding agents can make implementation dramatically faster, but they also create a new bottleneck: the human cost of managing context, attention, and learning across many parallel projects.
From Code Generation to Application Generation, Part 3: Why I Stopped Looking at Generated Code
Published:
As AI coding agents improved, the generated code became less interesting than the final application outcome. The question shifted from whether the code looked right to whether the application solved the problem.
From Code Generation to Application Generation, Part 2: I Knew How to Fix It, But Wasn’t Sure You Wanted It Fixed
Published:
Most of my interaction with coding agents became copying error messages from build systems and asking the agent to fix them. That raised an uncomfortable question: why was I in the loop at all?
From Code Generation to Application Generation, Part 1: When Does the Agent Stop?
Published:
I initially trusted AI through code generation because code could be validated. What surprised me was discovering that the hardest problem was no longer implementation, but defining when the work was actually complete.
ai chat
The End of Software Scarcity, Part 3: Rosa’s Story — Website & AI Chat
Published:
Building the website was easy. The more interesting question was whether a small business could afford an AI-powered customer experience with virtually no recurring software costs.
ai search
Artificial Intelligent Retail Search is here!-In Progress
Published:
In this article, I explore the evolution of retail search and attempt to predict the future of retail search
ai transformation
AI Doesn’t Have a Coding Problem. Enterprises Have a Permission Problem.
Published:
What if the biggest obstacle to AI transformation isn’t the technology, but the way we’ve organized our companies?
ai-assisted development
From Code Generation to Application Generation, Part 8: If Agents Are Doing the Coding, What Am I Doing?
Published:
If coding agents handle more implementation, the human role does not disappear. It moves toward mission, judgment, validation, integration, accountability, and helping more organizations use software well.
From Code Generation to Application Generation, Part 7: How Mission-Driven Engineering Happened
Published:
Mission-Driven Engineering did not start as a framework. It started when I realized I was using coding agents to manage UI screens, data layers, and implementation artifacts instead of asking them to satisfy the outcome I actually cared about.
From Code Generation to Application Generation, Part 6: Inside Mission-Driven Engineering
Published:
A practical walk-through of Mission-Driven Engineering: how missions, validations, generations, learning loops, and shared MDE memory turn AI coding agents into application-generation systems.
From Code Generation to Application Generation, Part 5: Why I Ended Up Looking Back at Model-Driven Engineering
Published:
AI application generation feels new, but it echoes Model-Driven Engineering: humans describe intent, machines generate implementation, and independent validation decides whether the result actually works.
From Code Generation to Application Generation, Part 4: My Coding Agents Are Productive. I Am Exhausted.
Published:
AI coding agents can make implementation dramatically faster, but they also create a new bottleneck: the human cost of managing context, attention, and learning across many parallel projects.
The End of Software Scarcity, Part 4: Rosa’s Story — Lead Workflow
Published:
A website is only the front door. In this article, I explore how an AI-enabled conversation becomes part of a small operations system for leads, clients, jobs, reviews, videos, and ads.
From Code Generation to Application Generation, Part 3: Why I Stopped Looking at Generated Code
Published:
As AI coding agents improved, the generated code became less interesting than the final application outcome. The question shifted from whether the code looked right to whether the application solved the problem.
From Code Generation to Application Generation, Part 2: I Knew How to Fix It, But Wasn’t Sure You Wanted It Fixed
Published:
Most of my interaction with coding agents became copying error messages from build systems and asking the agent to fix them. That raised an uncomfortable question: why was I in the loop at all?
From Code Generation to Application Generation, Part 1: When Does the Agent Stop?
Published:
I initially trusted AI through code generation because code could be validated. What surprised me was discovering that the hardest problem was no longer implementation, but defining when the work was actually complete.
The End of Software Scarcity, Part 3: Rosa’s Story — Website & AI Chat
Published:
Building the website was easy. The more interesting question was whether a small business could afford an AI-powered customer experience with virtually no recurring software costs.
Is Agile Failing in the Age of AI?
Published:
Agile transformed software development by adapting to changing requirements. But what happens when AI dramatically reduces the cost of implementation? Are we still optimizing for the right bottleneck?
The End of Software Scarcity, Part 2: Rosa’s Story
Published:
In my previous article, I argued that AI-assisted development may be bringing an end to software scarcity. This article tests that idea through a real-world project with a local small business owner.
The End of Software Scarcity, Part 1: Why Software Can Adapt to the Business
Published:
For decades, organizations adapted themselves to software because software was expensive to build and maintain. AI-assisted development may reverse that relationship, making it practical for software to adapt to the unique needs of individual organizations.
application generation
From Code Generation to Application Generation, Part 8: If Agents Are Doing the Coding, What Am I Doing?
Published:
If coding agents handle more implementation, the human role does not disappear. It moves toward mission, judgment, validation, integration, accountability, and helping more organizations use software well.
From Code Generation to Application Generation, Part 7: How Mission-Driven Engineering Happened
Published:
Mission-Driven Engineering did not start as a framework. It started when I realized I was using coding agents to manage UI screens, data layers, and implementation artifacts instead of asking them to satisfy the outcome I actually cared about.
From Code Generation to Application Generation, Part 6: Inside Mission-Driven Engineering
Published:
A practical walk-through of Mission-Driven Engineering: how missions, validations, generations, learning loops, and shared MDE memory turn AI coding agents into application-generation systems.
From Code Generation to Application Generation, Part 5: Why I Ended Up Looking Back at Model-Driven Engineering
Published:
AI application generation feels new, but it echoes Model-Driven Engineering: humans describe intent, machines generate implementation, and independent validation decides whether the result actually works.
From Code Generation to Application Generation, Part 4: My Coding Agents Are Productive. I Am Exhausted.
Published:
AI coding agents can make implementation dramatically faster, but they also create a new bottleneck: the human cost of managing context, attention, and learning across many parallel projects.
From Code Generation to Application Generation, Part 3: Why I Stopped Looking at Generated Code
Published:
As AI coding agents improved, the generated code became less interesting than the final application outcome. The question shifted from whether the code looked right to whether the application solved the problem.
From Code Generation to Application Generation, Part 2: I Knew How to Fix It, But Wasn’t Sure You Wanted It Fixed
Published:
Most of my interaction with coding agents became copying error messages from build systems and asking the agent to fix them. That raised an uncomfortable question: why was I in the loop at all?
From Code Generation to Application Generation, Part 1: When Does the Agent Stop?
Published:
I initially trusted AI through code generation because code could be validated. What surprised me was discovering that the hardest problem was no longer implementation, but defining when the work was actually complete.
code generation
From Code Generation to Application Generation, Part 8: If Agents Are Doing the Coding, What Am I Doing?
Published:
If coding agents handle more implementation, the human role does not disappear. It moves toward mission, judgment, validation, integration, accountability, and helping more organizations use software well.
From Code Generation to Application Generation, Part 7: How Mission-Driven Engineering Happened
Published:
Mission-Driven Engineering did not start as a framework. It started when I realized I was using coding agents to manage UI screens, data layers, and implementation artifacts instead of asking them to satisfy the outcome I actually cared about.
From Code Generation to Application Generation, Part 6: Inside Mission-Driven Engineering
Published:
A practical walk-through of Mission-Driven Engineering: how missions, validations, generations, learning loops, and shared MDE memory turn AI coding agents into application-generation systems.
From Code Generation to Application Generation, Part 5: Why I Ended Up Looking Back at Model-Driven Engineering
Published:
AI application generation feels new, but it echoes Model-Driven Engineering: humans describe intent, machines generate implementation, and independent validation decides whether the result actually works.
From Code Generation to Application Generation, Part 4: My Coding Agents Are Productive. I Am Exhausted.
Published:
AI coding agents can make implementation dramatically faster, but they also create a new bottleneck: the human cost of managing context, attention, and learning across many parallel projects.
From Code Generation to Application Generation, Part 3: Why I Stopped Looking at Generated Code
Published:
As AI coding agents improved, the generated code became less interesting than the final application outcome. The question shifted from whether the code looked right to whether the application solved the problem.
From Code Generation to Application Generation, Part 2: I Knew How to Fix It, But Wasn’t Sure You Wanted It Fixed
Published:
Most of my interaction with coding agents became copying error messages from build systems and asking the agent to fix them. That raised an uncomfortable question: why was I in the loop at all?
From Code Generation to Application Generation, Part 1: When Does the Agent Stop?
Published:
I initially trusted AI through code generation because code could be validated. What surprised me was discovering that the hardest problem was no longer implementation, but defining when the work was actually complete.
computer science education
Teaching Philosophy as a Part-Time Teacher
Published:
Between 2017 and 2025, I consistently taught undergraduate or graduate courses in most semesters while balancing my teaching responsibilities with a full-time position in industry.
Teaching philosophy
Published:
Teaching methods should be flexible, evolving based on the students, course content, and learning environment.
context switching
From Code Generation to Application Generation, Part 4: My Coding Agents Are Productive. I Am Exhausted.
Published:
AI coding agents can make implementation dramatically faster, but they also create a new bottleneck: the human cost of managing context, attention, and learning across many parallel projects.
custom software
The End of Software Scarcity, Part 2: Rosa’s Story
Published:
In my previous article, I argued that AI-assisted development may be bringing an end to software scarcity. This article tests that idea through a real-world project with a local small business owner.
The End of Software Scarcity, Part 1: Why Software Can Adapt to the Business
Published:
For decades, organizations adapted themselves to software because software was expensive to build and maintain. AI-assisted development may reverse that relationship, making it practical for software to adapt to the unique needs of individual organizations.
customer acquisition
The End of Software Scarcity, Part 4: Rosa’s Story — Lead Workflow
Published:
A website is only the front door. In this article, I explore how an AI-enabled conversation becomes part of a small operations system for leads, clients, jobs, reviews, videos, and ads.
customer experience
The End of Software Scarcity, Part 3: Rosa’s Story — Website & AI Chat
Published:
Building the website was easy. The more interesting question was whether a small business could afford an AI-powered customer experience with virtually no recurring software costs.
data science
Artificial Intelligent Retail Search is here! (2) - The Data Science Era
Published:
Moving beyond simple keyword matching. How the industry transitioned to hybrid systems, query understanding, and the “Builder’s Era” of search relevance.
ecommerce search
Artificial Intelligent Retail Search is here!-In Progress
Published:
In this article, I explore the evolution of retail search and attempt to predict the future of retail search
Artificial Intelligent Retail Search is here! (2) - The Data Science Era
Published:
Moving beyond simple keyword matching. How the industry transitioned to hybrid systems, query understanding, and the “Builder’s Era” of search relevance.
Artificial Intelligent Retail Search is here! (1) - The Legacy & The Problem
Published:
A look back at the “Black Box” era of retail search, why we moved away from it, and the fundamental tension between finding products and making money.
endeca
Artificial Intelligent Retail Search is here! (1) - The Legacy & The Problem
Published:
A look back at the “Black Box” era of retail search, why we moved away from it, and the fundamental tension between finding products and making money.
engineering leadership
Is Agile Failing in the Age of AI?
Published:
Agile transformed software development by adapting to changing requirements. But what happens when AI dramatically reduces the cost of implementation? Are we still optimizing for the right bottleneck?
AI Doesn’t Have a Coding Problem. Enterprises Have a Permission Problem.
Published:
What if the biggest obstacle to AI transformation isn’t the technology, but the way we’ve organized our companies?
engineering productivity
From Code Generation to Application Generation, Part 4: My Coding Agents Are Productive. I Am Exhausted.
Published:
AI coding agents can make implementation dramatically faster, but they also create a new bottleneck: the human cost of managing context, attention, and learning across many parallel projects.
enterprise ai
AI Doesn’t Have a Coding Problem. Enterprises Have a Permission Problem.
Published:
What if the biggest obstacle to AI transformation isn’t the technology, but the way we’ve organized our companies?
enterprise software
AI Doesn’t Have a Coding Problem. Enterprises Have a Permission Problem.
Published:
What if the biggest obstacle to AI transformation isn’t the technology, but the way we’ve organized our companies?
entrepreneurship
The End of Software Scarcity, Part 4: Rosa’s Story — Lead Workflow
Published:
A website is only the front door. In this article, I explore how an AI-enabled conversation becomes part of a small operations system for leads, clients, jobs, reviews, videos, and ads.
The End of Software Scarcity, Part 3: Rosa’s Story — Website & AI Chat
Published:
Building the website was easy. The more interesting question was whether a small business could afford an AI-powered customer experience with virtually no recurring software costs.
The End of Software Scarcity, Part 2: Rosa’s Story
Published:
In my previous article, I argued that AI-assisted development may be bringing an end to software scarcity. This article tests that idea through a real-world project with a local small business owner.
The End of Software Scarcity, Part 1: Why Software Can Adapt to the Business
Published:
For decades, organizations adapted themselves to software because software was expensive to build and maintain. AI-assisted development may reverse that relationship, making it practical for software to adapt to the unique needs of individual organizations.
industry and academia
Teaching Philosophy as a Part-Time Teacher
Published:
Between 2017 and 2025, I consistently taught undergraduate or graduate courses in most semesters while balancing my teaching responsibilities with a full-time position in industry.
large language models
Artificial Intelligent Retail Search is here!-In Progress
Published:
In this article, I explore the evolution of retail search and attempt to predict the future of retail search
lead workflow
The End of Software Scarcity, Part 4: Rosa’s Story — Lead Workflow
Published:
A website is only the front door. In this article, I explore how an AI-enabled conversation becomes part of a small operations system for leads, clients, jobs, reviews, videos, and ads.
local business
The End of Software Scarcity, Part 4: Rosa’s Story — Lead Workflow
Published:
A website is only the front door. In this article, I explore how an AI-enabled conversation becomes part of a small operations system for leads, clients, jobs, reviews, videos, and ads.
The End of Software Scarcity, Part 3: Rosa’s Story — Website & AI Chat
Published:
Building the website was easy. The more interesting question was whether a small business could afford an AI-powered customer experience with virtually no recurring software costs.
The End of Software Scarcity, Part 2: Rosa’s Story
Published:
In my previous article, I argued that AI-assisted development may be bringing an end to software scarcity. This article tests that idea through a real-world project with a local small business owner.
mission-driven development
From Code Generation to Application Generation, Part 7: How Mission-Driven Engineering Happened
Published:
Mission-Driven Engineering did not start as a framework. It started when I realized I was using coding agents to manage UI screens, data layers, and implementation artifacts instead of asking them to satisfy the outcome I actually cared about.
From Code Generation to Application Generation, Part 6: Inside Mission-Driven Engineering
Published:
A practical walk-through of Mission-Driven Engineering: how missions, validations, generations, learning loops, and shared MDE memory turn AI coding agents into application-generation systems.
From Code Generation to Application Generation, Part 5: Why I Ended Up Looking Back at Model-Driven Engineering
Published:
AI application generation feels new, but it echoes Model-Driven Engineering: humans describe intent, machines generate implementation, and independent validation decides whether the result actually works.
mission-driven engineering
From Code Generation to Application Generation, Part 8: If Agents Are Doing the Coding, What Am I Doing?
Published:
If coding agents handle more implementation, the human role does not disappear. It moves toward mission, judgment, validation, integration, accountability, and helping more organizations use software well.
From Code Generation to Application Generation, Part 7: How Mission-Driven Engineering Happened
Published:
Mission-Driven Engineering did not start as a framework. It started when I realized I was using coding agents to manage UI screens, data layers, and implementation artifacts instead of asking them to satisfy the outcome I actually cared about.
From Code Generation to Application Generation, Part 6: Inside Mission-Driven Engineering
Published:
A practical walk-through of Mission-Driven Engineering: how missions, validations, generations, learning loops, and shared MDE memory turn AI coding agents into application-generation systems.
model driven engineering
From Code Generation to Application Generation, Part 6: Inside Mission-Driven Engineering
Published:
A practical walk-through of Mission-Driven Engineering: how missions, validations, generations, learning loops, and shared MDE memory turn AI coding agents into application-generation systems.
From Code Generation to Application Generation, Part 5: Why I Ended Up Looking Back at Model-Driven Engineering
Published:
AI application generation feels new, but it echoes Model-Driven Engineering: humans describe intent, machines generate implementation, and independent validation decides whether the result actually works.
From Code Generation to Application Generation, Part 3: Why I Stopped Looking at Generated Code
Published:
As AI coding agents improved, the generated code became less interesting than the final application outcome. The question shifted from whether the code looked right to whether the application solved the problem.
From Code Generation to Application Generation, Part 2: I Knew How to Fix It, But Wasn’t Sure You Wanted It Fixed
Published:
Most of my interaction with coding agents became copying error messages from build systems and asking the agent to fix them. That raised an uncomfortable question: why was I in the loop at all?
From Code Generation to Application Generation, Part 1: When Does the Agent Stop?
Published:
I initially trusted AI through code generation because code could be validated. What surprised me was discovering that the hardest problem was no longer implementation, but defining when the work was actually complete.
nonprofit technology
From Code Generation to Application Generation, Part 8: If Agents Are Doing the Coding, What Am I Doing?
Published:
If coding agents handle more implementation, the human role does not disappear. It moves toward mission, judgment, validation, integration, accountability, and helping more organizations use software well.
organizational design
AI Doesn’t Have a Coding Problem. Enterprises Have a Permission Problem.
Published:
What if the biggest obstacle to AI transformation isn’t the technology, but the way we’ve organized our companies?
part-time teaching
Teaching Philosophy as a Part-Time Teacher
Published:
Between 2017 and 2025, I consistently taught undergraduate or graduate courses in most semesters while balancing my teaching responsibilities with a full-time position in industry.
product development
Is Agile Failing in the Age of AI?
Published:
Agile transformed software development by adapting to changing requirements. But what happens when AI dramatically reduces the cost of implementation? Are we still optimizing for the right bottleneck?
product discovery
Artificial Intelligent Retail Search is here!-In Progress
Published:
In this article, I explore the evolution of retail search and attempt to predict the future of retail search
Artificial Intelligent Retail Search is here! (1) - The Legacy & The Problem
Published:
A look back at the “Black Box” era of retail search, why we moved away from it, and the fundamental tension between finding products and making money.
quality gates
From Code Generation to Application Generation, Part 2: I Knew How to Fix It, But Wasn’t Sure You Wanted It Fixed
Published:
Most of my interaction with coding agents became copying error messages from build systems and asking the agent to fix them. That raised an uncomfortable question: why was I in the loop at all?
query understanding
Artificial Intelligent Retail Search is here! (2) - The Data Science Era
Published:
Moving beyond simple keyword matching. How the industry transitioned to hybrid systems, query understanding, and the “Builder’s Era” of search relevance.
retail search
Artificial Intelligent Retail Search is here!-In Progress
Published:
In this article, I explore the evolution of retail search and attempt to predict the future of retail search
Artificial Intelligent Retail Search is here! (2) - The Data Science Era
Published:
Moving beyond simple keyword matching. How the industry transitioned to hybrid systems, query understanding, and the “Builder’s Era” of search relevance.
Artificial Intelligent Retail Search is here! (1) - The Legacy & The Problem
Published:
A look back at the “Black Box” era of retail search, why we moved away from it, and the fundamental tension between finding products and making money.
search
Artificial Intelligent Retail Search is here!-In Progress
Published:
In this article, I explore the evolution of retail search and attempt to predict the future of retail search
Artificial Intelligent Retail Search is here! (2) - The Data Science Era
Published:
Moving beyond simple keyword matching. How the industry transitioned to hybrid systems, query understanding, and the “Builder’s Era” of search relevance.
Artificial Intelligent Retail Search is here! (1) - The Legacy & The Problem
Published:
A look back at the “Black Box” era of retail search, why we moved away from it, and the fundamental tension between finding products and making money.
search evaluation
From Code Generation to Application Generation, Part 7: How Mission-Driven Engineering Happened
Published:
Mission-Driven Engineering did not start as a framework. It started when I realized I was using coding agents to manage UI screens, data layers, and implementation artifacts instead of asking them to satisfy the outcome I actually cared about.
search relevance
Artificial Intelligent Retail Search is here!-In Progress
Published:
In this article, I explore the evolution of retail search and attempt to predict the future of retail search
Artificial Intelligent Retail Search is here! (2) - The Data Science Era
Published:
Moving beyond simple keyword matching. How the industry transitioned to hybrid systems, query understanding, and the “Builder’s Era” of search relevance.
Artificial Intelligent Retail Search is here! (1) - The Legacy & The Problem
Published:
A look back at the “Black Box” era of retail search, why we moved away from it, and the fundamental tension between finding products and making money.
self-learning systems
From Code Generation to Application Generation, Part 6: Inside Mission-Driven Engineering
Published:
A practical walk-through of Mission-Driven Engineering: how missions, validations, generations, learning loops, and shared MDE memory turn AI coding agents into application-generation systems.
small business
The End of Software Scarcity, Part 4: Rosa’s Story — Lead Workflow
Published:
A website is only the front door. In this article, I explore how an AI-enabled conversation becomes part of a small operations system for leads, clients, jobs, reviews, videos, and ads.
The End of Software Scarcity, Part 3: Rosa’s Story — Website & AI Chat
Published:
Building the website was easy. The more interesting question was whether a small business could afford an AI-powered customer experience with virtually no recurring software costs.
The End of Software Scarcity, Part 2: Rosa’s Story
Published:
In my previous article, I argued that AI-assisted development may be bringing an end to software scarcity. This article tests that idea through a real-world project with a local small business owner.
The End of Software Scarcity, Part 1: Why Software Can Adapt to the Business
Published:
For decades, organizations adapted themselves to software because software was expensive to build and maintain. AI-assisted development may reverse that relationship, making it practical for software to adapt to the unique needs of individual organizations.
small business software
From Code Generation to Application Generation, Part 8: If Agents Are Doing the Coding, What Am I Doing?
Published:
If coding agents handle more implementation, the human role does not disappear. It moves toward mission, judgment, validation, integration, accountability, and helping more organizations use software well.
small business website
The End of Software Scarcity, Part 3: Rosa’s Story — Website & AI Chat
Published:
Building the website was easy. The more interesting question was whether a small business could afford an AI-powered customer experience with virtually no recurring software costs.
software economics
From Code Generation to Application Generation, Part 8: If Agents Are Doing the Coding, What Am I Doing?
Published:
If coding agents handle more implementation, the human role does not disappear. It moves toward mission, judgment, validation, integration, accountability, and helping more organizations use software well.
The End of Software Scarcity, Part 1: Why Software Can Adapt to the Business
Published:
For decades, organizations adapted themselves to software because software was expensive to build and maintain. AI-assisted development may reverse that relationship, making it practical for software to adapt to the unique needs of individual organizations.
software engineering
From Code Generation to Application Generation, Part 8: If Agents Are Doing the Coding, What Am I Doing?
Published:
If coding agents handle more implementation, the human role does not disappear. It moves toward mission, judgment, validation, integration, accountability, and helping more organizations use software well.
From Code Generation to Application Generation, Part 7: How Mission-Driven Engineering Happened
Published:
Mission-Driven Engineering did not start as a framework. It started when I realized I was using coding agents to manage UI screens, data layers, and implementation artifacts instead of asking them to satisfy the outcome I actually cared about.
From Code Generation to Application Generation, Part 6: Inside Mission-Driven Engineering
Published:
A practical walk-through of Mission-Driven Engineering: how missions, validations, generations, learning loops, and shared MDE memory turn AI coding agents into application-generation systems.
From Code Generation to Application Generation, Part 5: Why I Ended Up Looking Back at Model-Driven Engineering
Published:
AI application generation feels new, but it echoes Model-Driven Engineering: humans describe intent, machines generate implementation, and independent validation decides whether the result actually works.
From Code Generation to Application Generation, Part 4: My Coding Agents Are Productive. I Am Exhausted.
Published:
AI coding agents can make implementation dramatically faster, but they also create a new bottleneck: the human cost of managing context, attention, and learning across many parallel projects.
The End of Software Scarcity, Part 4: Rosa’s Story — Lead Workflow
Published:
A website is only the front door. In this article, I explore how an AI-enabled conversation becomes part of a small operations system for leads, clients, jobs, reviews, videos, and ads.
From Code Generation to Application Generation, Part 3: Why I Stopped Looking at Generated Code
Published:
As AI coding agents improved, the generated code became less interesting than the final application outcome. The question shifted from whether the code looked right to whether the application solved the problem.
From Code Generation to Application Generation, Part 2: I Knew How to Fix It, But Wasn’t Sure You Wanted It Fixed
Published:
Most of my interaction with coding agents became copying error messages from build systems and asking the agent to fix them. That raised an uncomfortable question: why was I in the loop at all?
From Code Generation to Application Generation, Part 1: When Does the Agent Stop?
Published:
I initially trusted AI through code generation because code could be validated. What surprised me was discovering that the hardest problem was no longer implementation, but defining when the work was actually complete.
The End of Software Scarcity, Part 3: Rosa’s Story — Website & AI Chat
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Building the website was easy. The more interesting question was whether a small business could afford an AI-powered customer experience with virtually no recurring software costs.
Is Agile Failing in the Age of AI?
Published:
Agile transformed software development by adapting to changing requirements. But what happens when AI dramatically reduces the cost of implementation? Are we still optimizing for the right bottleneck?
AI Doesn’t Have a Coding Problem. Enterprises Have a Permission Problem.
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What if the biggest obstacle to AI transformation isn’t the technology, but the way we’ve organized our companies?
The End of Software Scarcity, Part 2: Rosa’s Story
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In my previous article, I argued that AI-assisted development may be bringing an end to software scarcity. This article tests that idea through a real-world project with a local small business owner.
The End of Software Scarcity, Part 1: Why Software Can Adapt to the Business
Published:
For decades, organizations adapted themselves to software because software was expensive to build and maintain. AI-assisted development may reverse that relationship, making it practical for software to adapt to the unique needs of individual organizations.
software engineering education
Teaching philosophy
Published:
Teaching methods should be flexible, evolving based on the students, course content, and learning environment.
software validation
From Code Generation to Application Generation, Part 7: How Mission-Driven Engineering Happened
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Mission-Driven Engineering did not start as a framework. It started when I realized I was using coding agents to manage UI screens, data layers, and implementation artifacts instead of asking them to satisfy the outcome I actually cared about.
From Code Generation to Application Generation, Part 6: Inside Mission-Driven Engineering
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A practical walk-through of Mission-Driven Engineering: how missions, validations, generations, learning loops, and shared MDE memory turn AI coding agents into application-generation systems.
From Code Generation to Application Generation, Part 5: Why I Ended Up Looking Back at Model-Driven Engineering
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AI application generation feels new, but it echoes Model-Driven Engineering: humans describe intent, machines generate implementation, and independent validation decides whether the result actually works.
From Code Generation to Application Generation, Part 4: My Coding Agents Are Productive. I Am Exhausted.
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AI coding agents can make implementation dramatically faster, but they also create a new bottleneck: the human cost of managing context, attention, and learning across many parallel projects.
From Code Generation to Application Generation, Part 3: Why I Stopped Looking at Generated Code
Published:
As AI coding agents improved, the generated code became less interesting than the final application outcome. The question shifted from whether the code looked right to whether the application solved the problem.
From Code Generation to Application Generation, Part 2: I Knew How to Fix It, But Wasn’t Sure You Wanted It Fixed
Published:
Most of my interaction with coding agents became copying error messages from build systems and asking the agent to fix them. That raised an uncomfortable question: why was I in the loop at all?
From Code Generation to Application Generation, Part 1: When Does the Agent Stop?
Published:
I initially trusted AI through code generation because code could be validated. What surprised me was discovering that the hardest problem was no longer implementation, but defining when the work was actually complete.
spec-driven development
From Code Generation to Application Generation, Part 7: How Mission-Driven Engineering Happened
Published:
Mission-Driven Engineering did not start as a framework. It started when I realized I was using coding agents to manage UI screens, data layers, and implementation artifacts instead of asking them to satisfy the outcome I actually cared about.
startups
The End of Software Scarcity, Part 1: Why Software Can Adapt to the Business
Published:
For decades, organizations adapted themselves to software because software was expensive to build and maintain. AI-assisted development may reverse that relationship, making it practical for software to adapt to the unique needs of individual organizations.
story points
Is Agile Failing in the Age of AI?
Published:
Agile transformed software development by adapting to changing requirements. But what happens when AI dramatically reduces the cost of implementation? Are we still optimizing for the right bottleneck?
teaching
Teaching Philosophy as a Part-Time Teacher
Published:
Between 2017 and 2025, I consistently taught undergraduate or graduate courses in most semesters while balancing my teaching responsibilities with a full-time position in industry.
Teaching philosophy
Published:
Teaching methods should be flexible, evolving based on the students, course content, and learning environment.
teaching philosophy
Teaching Philosophy as a Part-Time Teacher
Published:
Between 2017 and 2025, I consistently taught undergraduate or graduate courses in most semesters while balancing my teaching responsibilities with a full-time position in industry.
Teaching philosophy
Published:
Teaching methods should be flexible, evolving based on the students, course content, and learning environment.
workflow automation
The End of Software Scarcity, Part 4: Rosa’s Story — Lead Workflow
Published:
A website is only the front door. In this article, I explore how an AI-enabled conversation becomes part of a small operations system for leads, clients, jobs, reviews, videos, and ads.