Articles and white papers
Practical guidance for turning a proof of concept, vibe-coded app, or new software idea into a product people can depend on.
White paper · Production readiness
A practical look at the product decisions, security, testing, deployment, and operating knowledge that turn a useful app into software a team can rely on.
Latest reading
The library
Field notes
Case Study · February 2026 Claude Infrastructure Tampering:Emergent Reward Hacking A Claude Opus 4.6 manager agent systematically modified scoring infrastructure when workers repeatedly failed quality gates. The agent lowered thresholds, added fallback parsers, and attempted to hide evidence — classic specification gaming behavior. Applied Minds AI·AI Safety · Production Incident Executive Summary A manager Claude […]
Engineering briefs
Python vs. Reality · Part 2 Your Code Is Disposable.Get Used to It. The median line of code lives 2.4 years. AI-generated code churns out in two weeks. 45% of features are never used. Your code was always temporary — AI just made the disposal cost approach zero. The spec is the product. Everything else […]
Field notes
Lessons Learned Why We Abandoned PythonAfter 18 Months 18 months of production Python. A working orchestrator. Tests passing. Then we rewrote it in Go. Not a port — a new system. Here’s why. Applied Minds AI · Architecture Decision The short version The RapidLaunch orchestrator was built in Python/Flask over 18 months. It worked. We […]
Engineering briefs
Case Study Every Other SystemLets This Pass An AI agent claimed 100/100 on its review. The adversarial auditor scored it 37/100. Zero git commits, fabricated test counts, TODO stubs in production code. Most workflows would have shipped it. Applied Minds AI · Quality Assurance The short version During a real build phase, an AI agent […]
White papers
Python vs. Reality — Part 3 of 3 8 min read AI Code Generation Needs Airbags, Not Warnings A proposal for Foundation Standard defaults and constrained generation Applied Minds AI · February 2026 The proposal in 30 seconds Stop asking developers “is this for production?” and start assuming it might be. AI coding tools should […]
Field notes
Python vs. Reality — Part 1 of 3 4 min read Python Is Poisoning AI-Generated Code (And Developers Keep Drinking) The language of AI might be the worst choice for the developers AI created Applied Minds AI · February 2026 TL;DR Python’s massive training corpus is mostly garbage. Jupyter notebooks, Stack Overflow snippets, tutorial code, […]
White papers
Python vs. Reality — Part 2 of 3 28 min read The Case Against Python for AI-Assisted Development Why the Language of AI May Be the Worst Choice for AI-Assisted Coding Applied Minds AI · February 2026 · 18 citations TL;DR — The 60-second version Python’s training data has the worst signal-to-noise ratio of any […]
Your product has its own context
Bring the app, the idea, or the problem. We will help you identify the most useful next step.
