Agentic Strategies
Long-form writeups on the actual workflow behind agentic development — scoping, review discipline, verification — for anyone doing this kind of work themselves.
Agentic Strategies
Agent-drafted tickets and PR descriptions got long. A shape and a limit for each kind of text, the one habit behind most of the length, and why the fix for long titles was not in the title.
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A fixed set of gates instead of an agent's own judgment, the operating model behind it, and the codebase habits that make agent work easier or harder.
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One canonical guide, read consistently by three different AI tools, and a strict split between what's being asked for, what's been decided and why, and how a specific piece of work is scoped.
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Persistent per-project instructions, one shared style guide, and a memory system that survives between sessions — the scaffolding that stops several AI-assisted projects from drifting apart.
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A field-tested workflow for AI-assisted feature development — scoping discipline, separating implementer/reviewer/tester roles, and why verification speed mattered more than typing speed.
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