Architecture Governance for AI Code Generation
A practical guide for engineers and PMs who want AI coding agents to move fast without breaking architecture decisions, module boundaries, ownership, and long-term system quality.
Engineering Manager / Technical Lead
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Older writing on AI applications, software engineering, and developer tools.
A practical guide for engineers and PMs who want AI coding agents to move fast without breaking architecture decisions, module boundaries, ownership, and long-term system quality.
A practical feasibility guide for engineers and PMs on processing hundreds of subagent-style jobs, where the real limits are, and what RAG quality, evals, queues, and budget controls must exist before this is production-safe.
A practical guide for engineers and PMs on when to build general-purpose horizontal agents, when to invest in domain-specific vertical agents, and how loop engineering differs for each—including hybrid architectures that route across both.
A source-backed guide for engineers and PMs on shaping model behavior and personality across frontier LLMs and small language models, from prompts and DPO to persona vectors and distillation chains.
A practical playbook for engineers and PMs facing messy problems with many possible answers, hidden risks, and no obvious best path.
Part 2: a strangler-fig adoption path for moving a live app to a Zero-Trust gateway and OpenFGA, starting with a single route in shadow mode and expanding without a big-bang rewrite.
A grounded, motivating guide for students, juniors, switchers, and PMs on why CS fundamentals still matter, how AI skills layer on top, and what to build for the 2026 job market.
A practical guide for students, junior developers, self-taught builders, and PMs who want to use AI as a coach, quiz partner, and debugging buddy without outsourcing the struggle that makes learning stick.
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