I built ckdn so coding agents never have to guess whether checks passed
Article summary
Quick briefing — cleaned from the original RSS feed
If you run a coding agent on a real project, you have probably lived through all three of these moments. Moment one. The agent runs your test suite. The terminal answers with thousands of lines — progress dots, a coverage row per module, missing-line lists, warnings, stack traces. The agent dutifully reads it. You watch a five-figure chunk of context evaporate on formatting noise. Then the fix loop iterates, and it happens again. And again. Moment two. The agent reads that wall and cheerfully…
1Key Takeaways
- If you run a coding agent on a real project, you have probably lived through all three of these moments.
- The terminal answers with thousands of lines — progress dots, a coverage row per module, missing-line lists, warnings, stack traces.
- You watch a five-figure chunk of context evaporate on formatting noise.
- Then the fix loop iterates, and it happens again.
2AIWedia Score
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — AI reports that if you run a coding agent on a real project, you have probably lived through all three of these moments.
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