Your Coding Agent Worked for Six Hours. What Can You Actually Ship?

The agent ran all afternoon. It changed dozens of files and returned a confident completion message.

The demo looks promising. The reviewer discovers an unrelated refactor, a broken edge case, and a test rewritten to match the new behavior.

Six hours of activity. How much accepted progress?

Evaluate the entire assignment

A quick fix can show whether an agent handles a narrow problem. It cannot, by itself, establish whether the same setup preserves scope and constraints across a long assignment.

Anthropic's guide to agent evaluations distinguishes the agent's account of its work from the outcome in the environment. That distinction matters: “finished” is a claim to verify.

For your own evaluation, choose a representative change: introduce a permission, update an integration, or migrate a business rule. Define the expected behavior before the agent begins.

Use a scorecard you would trust with your roadmap

We propose tracking six dimensions:

• Accepted result: does the change satisfy the original criteria?
• Scope discipline: did the agent avoid unrelated changes?
• Recovery: did it diagnose failures without weakening requirements?
• Human effort: how much review, correction, and intervention remained?
• Total cost: include failed attempts and rework, not just the successful run.
• Durability: after 30 days, was the change retained, repaired, or reverted?

Keep model, tools, permissions, and starting conditions recorded. Repeat tasks where practical. Compare configurations under equivalent conditions.

The 30-day checkpoint is a proposed review window, not a universal benchmark. A high-risk regression should not disappear inside a favorable average score.

Test the uncomfortable moments

In a controlled environment, include an unavailable dependency, a contradictory instruction, or a failing check. Does the agent report the limitation, seek clarification, or quietly change the definition of success?

The behavior you need to evaluate often appears after the easy path fails.

Better evaluation starts before coding

ArchGenerator.com helps prepare the specification and architectural context against which your team can review a delivery. The SDD Kit connects execution with contracts and verifiable criteria.

Your preferred coding AI remains the implementation tool. Your team owns the evaluation and release decision.

Choose one upcoming change. Write three acceptance criteria, one boundary the agent must not cross, and one failure it should handle.

Explore ArchGenerator.com to structure that starting point. Ask less about how long the agent worked. Ask what your team can confidently accept.