A complete implementation guide for HLS and DASH streaming from key pair to player config to the cross-domain limit that breaks cookie auth. Key takeaways CloudFront restricts video by verifying a signature at the edge. You upload a public key, add it to a key group, and attach that key group to a ...

Key takeaways Attention is the whole mechanism. To choose each word, the model weighs every earlier word and decides how much each one matters. The cost grows with the square of the length. Double the prompt and the work roughly quadruples, which is why long context is priced steeply and why a ...

Architectural patterns for building maintainable, testable software when an LLM sits on the critical path. The worked example throughout is a live-streaming platform that uses a model to moderate content as it airs. Key takeaways An LLM breaks three things you normally rely on: the same input can ...

This is not a post about features beyond autocomplete. It is about what changed in engineering work itself once the agent stopped being autocomplete at all. TL;DR The biggest shift from coding agents like Claude Code is not faster code. It is how engineers learn unfamiliar systems, navigate ...

Your regression suite takes three hours to run. It passes all the test cases, you sign off on the feature, and you happily leave the office. Then at 2 AM your phone buzzes, a Slack message from your manager: a bug shipped anyway and broke production. If that sounds familiar, the suite is not the ...

Covers what Claude Code is, how it works, and how to use it well. From the basics to multi-agent orchestration. Key Takeaways Claude Code is not an autocomplete. It's an agent; it reads your codebase, runs commands, and completes tasks end-to-end without you having to direct each step. The mental ...

How AI review tools catch what humans miss, and where they still fall dangerously short. Key Takeaways Here's the short version. Scroll on for the full story. AI code review is a first pass reviewer, not a replacement for human judgment, the two serve fundamentally different purposes AI catches ...

The AI-native SDLC is a software delivery model where AI participates as a teammate at every stage of the lifecycle, requirements, design, implementation, review, testing, deployment, and production monitoring, not just inside the IDE. TL;DR The AI-native SDLC is a software delivery model where AI ...

Enterprise AI tools are not ready for SMEs, not just because of price, but because of product philosophy. Europe's 25 million small businesses need workflow-native AI. Key takeaway 1. Europe's 99.8% of the economy is made up of SMEs, but in AI adoption they are three times behind large companies. ...