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Hiring an AI Development Company? Ask These 7 Questions First Most AI projects fail long before deployment. Not because the model is bad. Because teams skip the hard engineering questions. If you're evaluating an AI development company, ask these 7 questions first: AI systems process sensitive busin
AI does not fail only because it is unreliable. It often fails because we ask it to fulfill expectations we never explained. That is the core of spec-driven development for me. Not process. Not documentation theater. Not a return to slow software delivery. Spec-driven development is the practice of
Why I Built This DeepSeek's API costs ¥1 per million tokens. GPT-4o costs ¥70. That's a 70x difference. But not everyone wants to deal with API key management, billing, and deployment. So I built a one-command gateway. OpenAI-compatible endpoint — drop-in replacement for any OpenAI SDK Routes to Dee
I vibe-coded my way through three months of Claude Code projects before I admitted something was off. The code worked, mostly, but I kept losing hours to the same problem: Claude and I would drift from the original intent mid-session, and by session two or three, neither of us remembered why we'd ma
This is a submission for the Google I/O Writing Challenge I came into Google I/O 2026 expecting the normal AI announcement cycle. A faster model. A better demo. A few benchmark charts. Someone saying “agentic” at least 40 times. And yes, we got a lot of that. But one thing genuinely stuck with me: G
Simple step-by-step tutorial to building an AI agent in Python The post The Ultimate Beginners’ Guide to Building an AI Agent in Python appeared first on Towards Data Science.