Explore practical perspectives on software delivery, team collaboration, and technology partnerships that help growing businesses make better decisions and build with confidence.
A complete implementation guide for HLS and DASH streaming from key pair to player config to the cross-domain limit that breaks cookie auth.
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.
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.
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 problem. The model underneath it is.
Covers what Claude Code is, how it works, and how to use it well. From the basics to multi-agent orchestration.
How AI review tools catch what humans miss, and where they still fall dangerously short.
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.
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.
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