The Agentic Blog — Multi-Agent AI Coding Workflow: Git Worktrees That Scale
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2026-06-08
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- 2026-06-08 / SKILLSWrite AGENTS.md as explicit prohibitions — 'Never commit secrets' beats positive conventionsAcross an analysis of ~2,500 repositories, explicit prohibitions in the agent coordination contract outperformed positive conventions, with 'Never commit secrets' the single most reliably-followed constraint. The takeaway for your AGENTS.md / coordination files: phrase the rules agents must obey as hard 'never' statements rather than aspirational 'prefer to' guidance, because agents adhere to bright-line prohibitions far more consistently.
- 2026-06-08 / SKILLSEnforce one-task-one-branch-one-worktree-one-agent — and stop scaling past 5–7 agentsThe binding rule for parallel coding agents is 'one task → one branch → one worktree → one agent'; deviating reintroduces race conditions. Measured limits matter: ~5 GB disk per worktree on a 2 GB codebase (six agents burned 9.82 GB in a 20-minute session), and throughput degrades past 5–7 concurrent agents due to API rate limits and the human cost of reviewing six simultaneous PRs. Gate each task with three tests — file exclusivity, interface stability, single-sentence bounded scope — and serialize anything that fails.