How to Debug AI Coding Agents When They Change the Wrong Thing
Agentic AI How to Debug AI Coding Agents When They Change the Wrong Thing A practical tutorial for recording model tool requests, real function results, patches, checks, screenshots, and a saved run log. Abdullahi Dattijo Jul 31, 2026 15 min read Share A coding agent selects the wrong element on a pricing card while browser measurements reveal an overflowing button and verify the corrected interface. Image generated with ChatGPT When you give a coding agent a request, the hard part is not always writing code.
- ▪Agentic AI How to Debug AI Coding Agents When They Change the Wrong Thing A practical tutorial for recording model tool requests, real function results, patches, checks, screenshots, and a saved run log.
- ▪Abdullahi Dattijo Jul 31, 2026 15 min read Share A coding agent selects the wrong element on a pricing card while browser measurements reveal an overflowing button and verify the corrected interface.
- ▪Image generated with ChatGPT When you give a coding agent a request, the hard part is not always writing code.
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| Original publisher | Towards Data Science |
| Canonical URL | https://towardsdatascience.com/how-to-debug-ai-coding-agents-when-they-change-the-wrong-thing/ |
| Publication time | Fri, 31 Jul 2026 13:30:00 +0000 |
| Retrieval time | 2026-07-31T14:23:02.758Z |
| Last seen | 2026-07-31T14:23:02.758Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | WkYrqp-F2tAb · 2 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
Agentic AI How to Debug AI Coding Agents When They Change the Wrong Thing A practical tutorial for recording model tool requests, real function results, patches, checks, screenshots, and a saved run log. Abdullahi Dattijo Jul 31, 2026 15 min read Share A coding agent selects the wrong element on a pricing card while browser measurements reveal an overflowing button and verify the corrected interface. Image generated with ChatGPT When you give a coding agent a request, the hard part is not always writing code. The hard part is showing that the agent understood the request, changed the right place, and verified the right result.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Towards Data Science.
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