How GPT-5.5 Became My Coding Sidekick
Dev.to / 6/3/2026
💬 OpinionTools & Practical UsageModels & Research
Key Points
- The author describes how GPT-5.5 helped them quickly diagnose a stubborn Python scraping bug by catching an error in their regex pattern and explaining the root cause clearly.
- They found that GPT-5.5’s usefulness depended heavily on providing specific inputs, with vague prompts producing vague answers.
- In debugging, GPT-5.5 repeatedly identified issues (such as JSONDecodeError caused by a trailing comma) and went beyond diagnosis by offering step-by-step fixes and exact code changes.
- The author also reports using GPT-5.5 to optimize slow code for large dataset processing by suggesting performance improvements and more efficient approaches.
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