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IronBee ensures that AI coding agents verify their changes before completing a task. When an agent edits code, it cannot finish until it exercises the affected paths through real tools — navigating pages in a browser for frontend changes, or connecting to a running Node process for backend changes — and submits a passing verdict. No more “it should work” — every change is tested.

The problem

AI coding agents are fast, but they lack accountability. An agent can write hundreds of lines of code, declare success, and move on — without ever checking if the browser renders correctly, if the API responds as expected, or if anything broke. Teams using agentic development today face:
  • Silent regressions that only surface in code review or production
  • No evidence that a change was actually tested
  • No insight into how the agent spent its time, what it struggled with, or where it kept failing

What IronBee does

Enforced verification

The agent must exercise affected code paths with real tools before it can mark a task complete. Browser navigation, screenshots, console checks, and network monitoring are required — not optional.

Session analytics

Every coding session is recorded — time spent coding vs. fixing, pass/fail rates per file, retry counts, and tool usage. The console turns raw session data into actionable insights.

AI-powered analysis

After each session, IronBee runs semantic analysis to surface findings and recommendations — what went wrong, what patterns keep appearing, and what to do next.

CI/CD integration

The IronBee GitHub Action brings the same verification loop into your pull request workflow — automatically verifying changes, fixing issues, and posting evidence on every PR.

Automatic recommendations

After each session, analysis findings are turned into directives that are injected back into the agent’s context — it learns from past mistakes automatically without manual intervention.

How it works

Your code change


 AI agent edits files


IronBee intercepts completion

      ├─ Browser cycle: navigate → screenshot → check console → submit verdict

      ├─ Node cycle (opt-in): connect → set V8 probes → exercise → read snapshots

      └─ Backend cycle (opt-in): HTTP/gRPC/GraphQL/WebSocket → verify responses


      Pass → task completes
      Fail → agent must fix and re-verify
All session data — tool calls, verifications, verdicts, timing — is sent to the IronBee Collector and made available in the Console.

Supported AI clients

ClientStatus
Claude CodeSupported
CursorSupported
CodexPlanned
OpenCodePlanned

Next steps

Quick start

Install the CLI and run your first verification in five minutes.

Key concepts

Learn the terminology: sessions, verifications, cycles, verdicts, and more.