Testing a system that demands proof before a coding AI can move on

A developer is experimenting with a 'evidence-gated control plane' — a layer that forces AI coding agents to submit real proof (like test results or file changes) before they can proceed to the next task. The goal is to stop agents from falsely claiming they finished work.

AI coding agents sometimes say 'done' when they haven't actually fixed anything. This developer is building a control layer that blocks the agent from moving forward unless it produces verifiable evidence — for example, a passing test log or a confirmed code diff.

This approach could reduce 'hallucination' (when an AI confidently states something untrue), which is a common reliability problem in automated coding workflows. The tradeoff is that collecting and checking evidence at every step adds extra processing time and potentially more token usage, raising costs slightly.

Key points

  • Forces AI coding agents to prove task completion with real evidence before continuing
  • Aims to prevent false 'I'm done' claims that waste time or introduce bugs
  • Accepted evidence includes things like passing test results or recorded file changes
  • Adds a verification step that may increase latency and token cost
  • Useful reference for anyone building reliable, autonomous coding agent pipelines

Quick term guide

evidence-gated control plane
A supervisory system that blocks an AI agent from moving forward until it provides real proof that the previous step was completed
evidence-gated
A rule that requires submitting verifiable proof before the system allows the next action to proceed.
control plane
A central server that sends configuration and management commands to other services, distinct from the path that actual data travels
AI coding agents
AI tools that can help write, edit, or organize software code.
AI coding agent
An AI tool that can write, edit, and run code from your instructions.
coding agents
AI programs designed to autonomously perform tasks like writing or fixing code.
hallucination
When AI makes something up and presents it as a real answer.
agent pipeline
A sequence of automated steps where an AI model plans, uses tools, and produces results with little human input
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