I Built an AI Code Reviewer That Learned From My Mistakes (So I’d Stop Making Them)
Last Updated on January 15, 2026 by Editorial Team
Author(s): Kriti Pare
Originally published on Towards AI.
The Third Time I Made the Same Mistake, I Knew Something Had to Change
The most frustrating part? I knew better. I’d made this exact mistake at my previous job. Multiple times. It wasn’t about knowledge, it was about attention. My brain just… skipped that step when I was in flow.

The article discusses the author’s journey to create an AI code reviewer designed to help him identify and correct repetitive coding mistakes, specifically those unique to his style and workflow. By analyzing his past coding errors and integrating this information, he built a system that offers personalized coding advice, resulting in a more efficient review process and improved coding practices over time.
Read the full blog for free on Medium.
Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.
Published via Towards AI
Towards AI Academy
We Build Enterprise-Grade AI. We'll Teach You to Master It Too.
15 engineers. 100,000+ students. Towards AI Academy teaches what actually survives production.
Start free — no commitment:
→ 6-Day Agentic AI Engineering Email Guide — one practical lesson per day
→ Agents Architecture Cheatsheet — 3 years of architecture decisions in 6 pages
Our courses:
→ AI Engineering Certification — 90+ lessons from project selection to deployed product. The most comprehensive practical LLM course out there.
→ Agent Engineering Course — Hands on with production agent architectures, memory, routing, and eval frameworks — built from real enterprise engagements.
→ AI for Work — Understand, evaluate, and apply AI for complex work tasks.
Note: Article content contains the views of the contributing authors and not Towards AI.