About How To Not Code
How To Not Code is a curated AI development digest. We go beyond headlines: each article is structured so you can scan for signal, decide what to verify, and map the story to greenfield or brownfield reality.
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Every story uses the same four panels. Labels match what you see in the live feed so you always know where to look.
This is the strategic layer: stakes, timing, and who is affected. We connect the headline to second-order effects—budget, risk, velocity, compliance—so you understand why this update deserves attention now, not just what changed.
This is the verification layer: concrete checks, experiments, and evaluation angles. Use it to de-risk adoption—what to try in a branch, what to measure, what would falsify the hype—before you commit roadmap or budget.
Existing codebases, teams, and constraints…
How this lands in production systems: migration paths, integration with legacy stacks, rollout risk, and what “good enough” looks like when you cannot rewrite from scratch.
New projects and clean-slate design…
How to adopt from day one: architecture choices, defaults, and patterns when you are not carrying old debt—where the same tool or idea shines without retrofitting.
- 01. AI coding tools and IDE updates
- 02. Model releases and developer APIs
- 03. Agentic workflows and evaluation
- 04. Team practices and adoption strategies
- 05. Real-world impact analysis
We publish daily and weekly digests. Daily keeps you current; weekly pulls a wider lens with deeper commentary. Subscribe from the sidebar to route digests to your inbox.