The Ultimate AI Engineering Roadmap for 2026: From Foundations to Autonomous AI Agents The AI lan...The Ultimate AI Engineering Roadmap for 2026: From Foundations to Autonomous AI Agents The AI lan...
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The Ultimate AI Engineering Roadmap for 2026: From Foundations to Autonomous AI Agents
The AI landscape is moving at breakneck speed. With thousands of tools, frameworks, and models launching every week, the biggest challenge isn't finding information it's knowing what to learn and in what order.
Whether you are a software engineer transitioning into AI, a data scientist looking to master Generative AI, or a complete beginner building your foundation, this comprehensive roadmap cuts through the noise.
I built ReviewIQ because technical interviews don't always test whether you can actually review code.
ReviewIQ is an AI-powered code review interview trainer built for software engineers.
You pick a role, language, and seniority, then get a realistic PR diff with bugs intentionally planted in it.
You write your review.
Then the system grades it against the actual bugs, shows what you caught, what you missed, and gives you feedback on how a stronger reviewer would approach it.
The interesting part was building the grading system so it isn't just "AI thinks your answer is good." The bugs have a known ground truth, so the review can be evaluated against something concrete.
Built with Next.js, Supabase, PostgreSQL, OpenAI, and Lemon Squeezy.
The known-ground-truth approach is a great product decision—it makes the feedback feel earned rather than like an opaque AI verdict. I also like that the flow tests the actual review skill instead of rewarding pattern-matching in interviews.