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Take ideas to implementation with a planning-command pipeline

A solo SaaS founder uses a custom five-command agent flow (intent, impact analysis, planning, execution, review) with lint guardrails to ship features in a production product.

Time saved
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Setup time
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Running cost
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Use case overview

A solo SaaS founder uses a custom five-command agent flow (intent, impact analysis, planning, execution, review) with lint guardrails to ship features in a production product.

Reported experience

  1. What they did

    The founder built five chained commands (intent, impact analysis, iterative planning, execution orchestration, review/demo) that all update one plan file in git, which he reviews at each stage. A shared CONTRIBUTING.md guides agents, ESLint rules run as post-edit hooks, and a Bash-approval script screens commands. When the agent misbehaves, it writes a new rule with tests.

  2. How it went

    An orchestrator script turning plans into workflows cut token spend to about 20% and runtime from 5-6 hours to 20-30 minutes. He still reviews most code via git diff, and calls it mostly clean.

  3. Worth knowing

    The guardrails grew incrementally: each unwanted agent action or approval prompt became a new lint rule or approval rule, so expect to keep investing in them.

Example prompts

Try with Claude Code
Set up a planning pipeline for my project in [repo or product name] as custom slash commands: one to capture intent, one for impact analysis, one for planning, one for execution, and one for review. Make the execution step run [my lint and test commands] and stop if they fail. Test it on this small feature: [feature idea]. Stop when the feature has gone through all five steps and I have a reviewed diff, and do not commit or push without asking me.
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