Claude Code
Best for: Serious work on real repos
Anthropic's agent for your terminal, IDE and desktop. Reads the whole repo, runs commands and tests, and handles large multi-file changes well.
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Write the plan first, then let AI code it
“My AI coder goes off in the wrong direction on bigger features.”
A short written spec and an ordered task list keep agents on track. You review the plan, then let it build one task at a time.
Fix it yourself in 3 steps
- Talk the feature through with an AI and have it write a one-page spec: goal, users, must-haves, out of scope.
- Ask it to turn the spec into ordered small tasks with 'done when' for each.
- Hand tasks to your coding agent one at a time and check each against the spec.
Copy this prompt
Interview me with up to 8 questions about this feature: [idea]. Then write a one-page spec (goal, users, must-haves, out of scope, open questions) and an ordered task list where each task has 'done when'. Stop after the spec and list — don't write code.
Fill in the [brackets]. Each prompt says when the AI should stop, so it doesn't wander off.
Agents people used for this: ChatGPT, Devin, Claude Code, Codex.
Inspired by real examples collected at agentusecases.ai.
📚 6 real stories of people doing this with AI agents
- Build specs through automated multi-agent verification and review loops · custom-built or unnamed agent
- Run Codex with low-touch planning and port reservation · Codex
- Spec features with AI and hand off to coding agent · ChatGPT
- Take ideas to implementation with a planning-command pipeline · Claude Code
- Turn Notion PRDs into scoped Linear tickets · Devin
- Turn one goal into an ordered plan of coding-agent tasks · custom-built or unnamed agent
Collected at AgentUseCases.ai.
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