
AI Reverse Engineering: The Skill That Disassembles Code
Imagine an AI that not only writes code but also disassembles it to understand how it works. Someone built it, and it's ready for tough challenges.
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Saturday, August 1, 2026
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Imagine an AI that not only writes code but also disassembles it to understand how it works. Someone built it, and it's ready for tough challenges.

Ever had to explain your codebase to an AI? Now point GITVERSE at any project and get instant architecture maps, ASCII blueprints, and ready-made prompts. No more manual copy-paste torture.

Imagine an interview where nobody judges you for stumbling over your words, you can retake the video if you flub it, and you don't wait three weeks for feedback. A Stockholm startup just raised $4 million to do exactly that: put AI agents between you and the hiring manager.

While everyone's debating whether AI can actually reason, someone's already writing a $300 million check to find out. General Intuition is in talks to raise that sum—with Jeff Bezos leading the charge—to solve something deceptively simple: teaching robots to genuinely understand the physical world around them.

AI agents are the new frontier, but they've had one major problem: they're pretty clueless about how to actually work in the messy, real world of actual businesses. OpenAI just fixed that by acquiring Ona, a startup that knows exactly how to make these smart systems run without melting your infrastructure.
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While chatbots keep rambling without a shred of memory, someone figured out how to make AI agents actually learn from real work—like apprentices in a workshop. The trick? Make them repeat, fail, improve, and share what they've learned with each other along the way.

Bet if I asked you how ChatGPT works, you'd mumble something about 'neural networks' or 'artificial intelligence' and hope I'd drop it. Time to find out the actual mechanics are way more straightforward than the hype suggests.
Picture an AI assistant that actually understands how your company works instead of spitting out generic nonsense. Jedify just raised $24 million to make that a reality.

While everyone argues about which AI models to use, someone's actually building the physical foundations that make them run. Brookfield's Head of AI Infrastructure Sikander Rashid just explained to Bloomberg how this race for data centers actually works.

Ever joined a new team and inherited a 200,000-line codebase with zero clue where to start? Understand Anything turns that mess into an interactive knowledge graph where every piece of code tells you how it fits together. This isn't graph-porn for impressing your boss — it's actually useful.

Tired of grepping through thousands of files to understand your own project? There's a tool that transforms code, schemas, docs, and videos into a queryable knowledge graph. It's called Graphify, and it works with Claude Code, Cursor, Gemini, and basically every AI assistant worth its salt.