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Intermediate · 30-50 min

OpenAI Codex API agent loop for implementation tasks

A repeatable API-driven loop to plan, implement, validate, and summarize coding tasks using Codex and GPT models.

Last reviewed Feb 25, 2026

Objective

Use API calls to run a structured coding loop with explicit validation gates.

Loop design

Stage A: Plan

Prompt for:

  • impacted modules
  • implementation sequence
  • test commands
  • expected failure modes

Stage B: Implement

Apply only one logical change per pass:

  • write patch
  • run test command
  • capture output

Stage C: Verify

Require the model to explain:

  • what code path was exercised
  • what remains unverified
  • any assumptions still unresolved

Stage D: Summarize

Output machine-readable notes:

  • files changed
  • behavior changes
  • evidence from test output

Why this works

  • keeps code generation bounded
  • makes failures visible early
  • improves review quality for humans

Suggested safeguards

  • fail closed on missing tests
  • reject edits that exceed scope constraints
  • persist run logs with timestamps

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