Back then, when building products, everything was clear in my head. The requirements. The vision. The architecture. I knew what to build and exactly where it should live in the system. And I kept wondering:… Three years ago, I had a simple thought. Today, it is a reality
But we still version control only the output, not the reasoning Entire.io is addressing that gap Their open source CLI, Entire, integrates with Git and captures full AI agent sessions alongside commits. These records, called… AI is generating more code than ever
LLMs are being integrated into products and internal systems at unprecedented speed. Security is often treated as secondary. An LLM is not just another dependency.It is an execution surface. Integrating an LLM introduces a probabilistic… Security Considerations When Integrating LLMs
AI has compressed the time it takes to translate ideas into working code. That advantage is now table stakes. What still cannot be automated is product thinking. In an AI driven lifecycle, engineers are expected… The software engineering lifecycle has shifted, and code is no longer the hardest part
As agent-based systems grow, a single agent handling everything stops working.You need multiple AI agents, each with a clear role, working toward one outcome. That is where AI agents succeed or fail in production. In… Most real-world AI agent problems are coordination problems, not intelligence problems.
I was reading this Anthropic engineering article on building agents, and one section stood out for its clarity and honesty:https://www.anthropic.com/engineering/building-agents-with-the-claude-agent-sdk The part on semantic search is especially worth attention. Semantic search works by chunking context,… Everyone is reaching for vector search. Few stop to ask if it is actually the right tool