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Deep Work Plan: An open-source tool that gives AI agents structured plans to prevent task drift in long coding sessions

By

Oscar Humberto Marín Molina

6d ago· 2 min readenProduct

Summary

Deep Work Plan is an open-source tool that transforms any code repository into a structured development harness for AI agents. Instead of relying on chat windows where context gets lost over long sessions, it embeds a spec directly into the repo with atomic tasks, acceptance criteria, validation gates, and resumable state. This allows AI agents to maintain focus on long-running tasks, survive context resets, and have any agent pick up where another left off — solving the problem of AI agents drifting from the original goal during extended work sessions.

Source

Product HuntDeep Work Plan: An open-source tool that gives AI agents structured plans to prevent task drift in long coding sessionsproducthunt.com

Key quotes

· 5 pulled
Models matter. Context matters more.
I stopped treating that as a prompting problem and started treating it as a structural one.
The fix wasn't a smarter model. It was giving the agent a plan.
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.
Snippet from the RSS feed
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 criter

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