Thoughts, deep-dives, and hard-won lessons at the intersection of AI, engineering, and building things that last.
AI made producing software artefacts cheap and verifying them expensive. That single split is why engineering roles are collapsing into fewer, wider ones.
Everyone is building with AI today. Very few are building systems that actually work in production. This article explores the real gap between models and products, and why thinking like an AI engineer matters more than ever.
A behind-the-scenes look at how I designed and built a production-ready prompt engine - from dynamic templates and reusable components to multi-layer guardrails, structured output, and parallel execution.
Building real-time computer vision on low-end mobile devices comes with unique challenges - especially when every second of inference drains battery. Here's how I optimised similarity search using HNSW and hybrid re-ranking to cut battery usage by over 50%.
Andrej Karpathy’s talk at Y Combinator’s AI Startup School explores Software 3.0, the rise of LLMs as programmable computers, vibe coding, and building partial autonomy apps. Learn how AI is transforming how we build - and who gets to build - the future of software.
In a world where anyone can build a product fast, visibility is everything. Discover why SEO is more crucial than ever in the AI era - and how it can make your startup stand out.
When performance is non-negotiable and the app must shine on low-end devices, you start questioning your default stack. Here’s why I chose Preact - the tiny, powerful alternative to React - and how it reshaped my dev experience on the edge.
OpenAI’s CFO has revealed plans for an AI agent capable of building, testing, and documenting software all on its own. What does this mean for developers - especially students and juniors just starting out? Here’s what you need to know.
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