01 / Context
Context discipline
Whether agents receive product intent, architectural constraints, acceptance criteria, and clear boundaries before work starts.
Free diagnostic for AI coding workflows
Agentic Development Workflow Audit
Score how your team moves AI-authored code from task definition to production. The result is a maturity score, a confidence score, hard ceilings for missing fundamentals, and a concrete remediation packet you can use immediately.
What the audit checks
It follows the code path, not the tool hype.
Tool-agnostic: Codex, Claude Code, Cursor, Copilot, Devin, or internal agents.
02 / Isolation
Change isolation
Whether AI-authored changes are scoped, separated, reproducible, and easy to reject without damaging other work.
03 / Review
Review quality
Whether the workflow catches product, architectural, security, and maintainability errors before they reach senior humans late.
04 / Verification
Verification
Whether builds, tests, linters, type checks, preview checks, screenshots, and evals prove behavior before the diff is trusted.
05 / Operations
Operational control
Whether production-risk changes have flags, rollback paths, telemetry, cost visibility, and known failure modes.
06 / Learning
Knowledge capture
Whether good task templates, prompts, review patterns, and agent failure modes become durable team assets.
Diagnostic
Answer from the last ten agent-authored changes.
Use what actually happens under deadline pressure, not the workflow you wish you had.
Evidence confidence
The maturity score is self-reported. Check what your team could show within five minutes to calibrate confidence.
Maturity
Result pending
Answer the diagnostic to generate a practical workflow packet.
Primary constraint
-
Recommended mode
-
Evidence confidence
-
Dimension scores
Score ceilings
Top risks
First fixes
Task template
Review checklist
30-day upgrade plan
Use the report
The full report is formatted as Markdown so you can paste it into Linear, Jira, Notion, Slack, or an internal engineering doc.
Want a second read?
Send the result and one recent agent-authored PR. I will reply with the first workflow change I would make before scaling agent usage further.
How to read the result
The score is less important than the constraint.
More agent throughput only helps when the delivery system can reject bad changes cheaply.
Score
Maturity band
Experimental, Assisted, Supervised, Controlled, or Compounding. The band describes how safely agent work can move through your current system.
Ceiling
Hard limit
Some missing controls cap the score. No automated verification, no isolation, or no review should block a team from claiming high maturity.
Packet
Next action
The output includes risks, fixes, a recommended operating mode, a task template, a review checklist, and a 30-day upgrade plan.
FAQ
Questions teams ask before an audit.
What does an agentic development workflow audit check?
It checks the full path from task definition to production: context, isolation, review, verification, operations, and learning. The goal is to find the constraint that prevents AI coding agents from becoming reliable delivery capacity.
Do we need a specific AI coding tool?
No. The diagnostic is deliberately tool-agnostic. It applies whether the team uses Codex, Claude Code, Cursor, GitHub Copilot, Devin, or an internal agent.
Why does the tool apply score ceilings?
Because a few missing controls dominate the risk profile. A team with excellent prompts but no automated verification should not receive a high maturity score.
Is the result gated behind email?
No. The result and artifacts appear immediately after the 12 core answers. Sending the report is optional.