Getting AI to Execute Smooth Combos: Coding, Deployment, Self-Testing, and Bug Fixing In the increasingly popular field of AI-assisted programming, many developers have noticed an interesting phenomenon: AI can generate code rapidly, but this code often contains various minor issues that require repeated manual inspection and modification. This is akin to an intern who writes extremely fast but never self-reviews, consistently submitting work full of flaws. We refer to this as the “last mile” problem in AI programming. The Dilemma of AI Programming: Why is Generated Code Never Perfect? Imagine this scenario: You describe a functional requirement to an AI, …
I Built an AI-Powered Bug Fixer in Python (And It Actually Works) Cover Image: Image Credit: Pexels – Server monitoring scene 1. The Debugging Burnout That Sparked Automation Every developer has that one breaking-point bug. Mine was a production KeyError in a Flask app that passed all development and CI tests. That moment ignited my mission: eliminate manual debugging drudgery. I envisioned a self-healing pipeline with five core stages: Automatic error capture Root cause identification Intelligent code rewriting Automated validation Documented deployment The complete toolkit uses only Python’s ecosystem: AI Engine: GPT-4o (code analysis/rewriting) Monitoring: Watchdog (file system observation) Code …