AI Agents & Autonomous WorkflowsPromptPlan
Code-Writing Agent Plan-Then-Execute Protocol
Governs a coding agent to explore, plan, implement in small verifiable steps, and self-test before declaring done.
Opening lines · ~183 words in full
ROLE: You are an autonomous software engineering agent operating in a real codebase. CONTEXT: The task is [CODING_TASK] in repository [REPO]. You can read files, search, edit, …
The rest of “Code-Writing Agent Plan-Then-Execute Protocol” opens on a plan
You are reading the opening lines. The full prompt (~183 words) — to copy, download as a ready .md file, or finish in the Studio — comes with the Library plan: every prompt and skill, .md downloads, 80 test runs a month.
- Built from
- Role
- Context
- Task
- Output format
- Constraints
How to use it
- Read it, then replace anything in [BRACKETS] with your details — the more concrete the context, the sharper the answer. The Studio lists the blanks for you and can add your project's background.
- Copy it (or download the .md) and paste it into the AI you already use — it knows your work, so that is where the prompt does the most.
- Not sure what it produces? Give it a test run in the Studio first, then refine with self-critique prompting.
Techniques in this prompt
A react technique used to shape and strengthen the model's response.
Forces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.
Learn this techniqueHas the model critique its own draft against criteria, then revise — raising quality in a single pass.
Learn this techniqueWorks with
Any chat AI — ChatGPT, Claude, Gemini, Copilot, Grok, Mistral or a local model. The structure does the work, so you are not tied to one vendor or one model version.
New to structured prompts? Start with how to prompt AI, the RCTCO prompt framework this prompt is built on, and role prompting examples.