I finished an English series on the way I think ordinary people can start using AI for real work. The point is not to become an AI expert first. The point is to have one place where you can say what you want, give the tool access to the right folder, and check the result. Anything important still needs a human pause: publishing, deleting, paying, or authorizing. My preferred starting point is simp
Imagine you have a Nodejs server with endpoint that performs heavy CPU operations. By default your server runs on a single thread. This means it will freeze depending on the CPU load. If your server has other asynchronous endpoints, for example, to execute database operations, those endpoints would become unresponsive while the heavy load endpoint is processing. Our first idea is to create more th
Every dev team has lost hours to .env problems. A missing variable breaks a deploy. I built Razify to make all of that stop happening. Razify is a single binary CLI tool for .env file management. No cloud account No tracking No Go installation required Works with Node.js, Python, Ruby, Laravel, Rails — anything that uses .env files. razify scan .env Detects leaked secrets using 80+ regex patte
The Model Context Protocol (MCP) has become the default standard for connecting AI agents to external tools and APIs. Governed by the Linux Foundation since early 2025 and adopted by OpenAI, Anthropic, Microsoft, and Vercel, MCP is the USB-C port of the AI ecosystem — one protocol that lets any LLM application talk to any tool server. But there's a gap between reading the spec and building somethi
Most first time Android publishers don't find out about this rule until they're staring at it in the Play Console at 11pm. If you're shipping a brand new app to Google Play and the app or your developer account was created after November 13, 2023, you have to run a closed testing track for at least 14 days with at least 12 active testers before you can request production access. No exception form,
Background I did some research online and found a nice course that teach how to build LLM from scratch. The course is shared public online and all the assignment resources are here: https://cs336.stanford.edu/. In the following series, I will put the summary and notes starting from lession 1. Tokenization is at the very beginning of the LLM. There were many different tokenization algorithm, suc
If you have spent any real time with Claude Code, you have probably noticed the same problem I did. You write the same instructions in the prompt every other day. "Use four-space indentation here." "Always run the linter after edits." "Format commit messages this way." After the third or fourth repeat, it stops feeling like a prompt and starts feeling like missing config. Skills are how Claude Cod
Adding email and calendar tools to an AI agent is mostly an exercise in restraint. Give it 50 commands and the agent gets confused. Give it 5 carefully-chosen ones and it punches above its weight. After running agents against the Nylas CLI for a few months, these are the five I keep coming back to. Each gets exposed via MCP (nylas mcp install) so the agent can call them directly. nylas email send