AI-Native Engineering Operating Models
Team structures, decision systems, delivery cadences, and organizational designs built for AI-native software engineering rather than retrofitted onto a traditional SDLC.
-
Why FDE Works: The Same Reason Consultants Work
Executive Deck ↗Exec summary ↗Listen ↗The irony is familiar: you debate a $400 model bill, approve a $180,000 SOW, and pay an outsider to say what your own engineers already told you.
-
If Your Software Organization Quit Working, How Long Until the Stock Price Would Notice?
What if the most productive thing your software organization could do this quarter is not come to work?
-
Without Writing Out the Standard, Your AI SDLC Will Struggle — Introducing the AI Software Engineer, a Silly Name for a Serious Problem
Executive Deck ↗Exec summary ↗Listen ↗You rolled out the training, bought the licenses, ran the pilots, and your engineering org is producing almost exactly what it was two years ago. The problem was never the training. The problem is that you never set a new standard for what it means to work at your company, and you are the only person who can. Introducing the AI Software Engineer — a silly name for a serious problem.
-
You Are About to Hire a VP of AI Capability. Do Not.
Executive Deck ↗Exec summary ↗Listen ↗You diagnosed the CoE pattern. Now you are about to repeat it by hiring a VP of AI Capability. Here is why forcing your organization to build the competency itself is the only path that works, why it will be rough, and what the end state looks like when you get it right.
-
Your Transformation Org Just Got a Fifteen-Year Service Award. Now You Want to Repeat That Pattern with AI?
Executive Deck ↗Exec summary ↗Listen ↗Your Agile Transformation VP just got a 15-year service award. The org still cannot release without a CAB meeting. Now you are building an AI team with the same playbook. You know how this ends.
-
You Do Not Have Time for a Two-Hour Kickoff but You Have Time to Fail for a Year
Executive Deck ↗Exec summary ↗Listen ↗A VP told me his org only had 30 minutes for AI training. I recommended the two-hour kickoff that has consistently produced results. He said they did not have time. That told me everything I needed to know.
-
I Drove a Cactus Into a House in Marseille, France
Executive Deck ↗Exec summary ↗Listen ↗You keep buying the fastest tool on the market and wondering why nothing changed. The problem is not the vehicle. The problem is your streets were designed a thousand years ago for donkeys. Here is what to do about it.
-
The Tool Is a Commodity. The Organizational Adoption Expertise Is Not.
Executive Deck ↗Exec summary ↗Listen ↗The performance gap between top Gen AI coding tools is not what is slowing you down. Your governance model and your SDLC are. Pick the vendor who will coach your executives on how to actually build.
-
How to Build an AI-Native Engineering Team (Not an AI-Assisted One)
Executive Deck ↗Exec summary ↗Listen ↗Most teams added AI tools and called it transformation. An AI-native engineering team requires two things most organizations are not willing to change: the staffing model and the governance model. Here is what both look like.
-
Customer Absorption: Your New Software Engineering Bottleneck
Executive Deck ↗Exec summary ↗Listen ↗Your engineering team can now ship a feature a day. But your customers cannot absorb a feature a day. The new bottleneck is not building. It is receiving.
Corporate fiction
Three books. One operating problem. No clean hero.
Read 2028, Meridian, and AgentDrivenDevelopment.com’s Survive free online.
Read free online →