𝗕𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗔𝗻 𝗔𝗜 𝗔𝘀𝘀𝗶𝘀𝘁𝗲𝗱 𝗗𝗲𝗯𝘂𝗴𝗴𝗶𝗻𝗴 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄

𝗕𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗔𝗻 𝗔𝗜-𝗔𝘀𝘀𝗶𝘀𝘁𝗲𝗱 𝗗𝗲𝗯𝘂𝗴𝗴𝗶𝗻𝗴 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄

Debugging is core to software work. AI tools make it faster. But AI hallucinates. You need a structured process.

This process keeps humans in the loop. It ensures reliability.

Follow these 7 steps:

• Frame the problem. State the failure. List symptoms.
• Reproduce the bug. Build a small test script.
• Collect signals. Gather logs and traces.
• Generate hypotheses. Ask AI for ranked root causes.
• Run experiments. Use feature flags to isolate issues.
• Apply the fix. Add metrics to catch it again.
• Verify stability. Monitor for 72 hours.

Three rules for AI debugging:

• Treat AI as an assistant. It is not the boss.
• Verify AI suggestions with evidence.
• Keep prompts narrow to stop errors.

This workflow reduces context switching. It speeds up fault isolation. It improves team collaboration.

Source: https://dev.to/therizwansaleem/building-a-developer-friendly-ai-assisted-debugging-workflow-5boo Optional learning community: https://t.me/GyaanSetuAi