Deep Work Plan
Models matter. Context matters more. Give your agent a plan.
Deep Work Plan launched on June 17, 2026 with 114 votes, #317 of 22,647 launches that month and more than 95% of that year's launches.
What it does
Deep Work Plan turns any repo into a harness with the context of your best engineer — so any AI agent codes like your smartest model and can't drift from the plan. Not a chat window it forgets, a spec written into the repo: atomic tasks, acceptance criteria, validation gates, resumable state. Long runs survive context resets; any agent picks up where the last left off. Point an agent at it, walk away, come back to work you can verify. Any agent, any repo, no lock-in. Open Source, MIT.
Context matters more than models. Deep Work Plan turns any repository into a structured environment where any coding agent finishes long-horizon work.
Deep Work Plan turns any repository into a structured environment — context, guardrails, and a durable plan — where any coding agent executes with precision and finishes long-horizon work. Copy the init.md prompt and paste it into your coding agent — Claude Code, Cursor, Codex, or any other — to make any repository AI-first. Deep Work Plan is spec-driven development where the repository itself becomes the harness. AI coding agents are remarkably effective in short bursts. On long-horizon work — a migration, a new subsystem, a refactor across dozens of files — they drift: context fills up, decisions are forgotten, and multi-hour tasks are abandoned halfway through. Deep Work Plan answers…from deepworkplan.com
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