Lately, I’ve been experimenting with treating the entire plan as a single spec.json — including things like goals, non-goals, requirements, verification criteria, and tasks — and building a small CLI to CRUD and operate on it. The motivation behind this approach is pretty simple:
- Programmatic control over the plan Once everything is structured, you can reason about it mechanically. For example, if requirements are defined explicitly, you can enforce that all tasks must map back to them. You can even model dependencies and validate coverage automatically, instead of relying on manual checks.
- Better context isolation for execution By structuring tasks, you can slice context at the task level. This becomes especially useful when running things in parallel (e.g., agents), where each task only gets the minimum required context — avoiding unnecessary context pollution.
- Reusability of structured knowledge A structured spec isn’t just for execution — it becomes a reusable artifact. If you store not only the spec but also execution outputs (e.g., what was done, lessons learned), you can later retrieve them via hybrid search and use them as context for similar future work.
Feels like this could be a foundation for more “agent-native” workflows, where planning isn’t just documentation, but something executable and verifiable. Curious if others are doing something similar — or if you’ve found better abstractions for this. submitted by /u/Mean_Luck6060
Originally posted by u/Mean_Luck6060 on r/ClaudeCode
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