Transmissions about web development, design patterns, and discoveries from the frontier.
MCP (Model Context Protocol) adapter extension for Pi coding agent
In this article, we will look at the main isolation patterns you can use, how they work, and when each one makes sense.
In this article, we will look at the main isolation patterns you can use, how they work, and when each one makes sense.
That is the difference between a demo that works and a RAG system that stays healthy in production.
In this article, we will look at four strong options for client-side RAG in JavaScript: LanceDB, Orama, RxDB with Transformers.js, and Vectra. Each one fits a different runtime and product goal.
That is why enterprise RAG accuracy should not be managed as a narrow model metric. It should be managed as part of a broader AI quality governance capability.
That is how enterprise RAG accuracy should be measured.
To launch the Codex CLI with a specific one-line prompt from your terminal, use the codex command followed by your instructions in quotes
Mastering the architecture of an AI Agent requires decoupling its 'brain' from its 'hands'—separating reasoning, memory, and tool execution into a modular system that ensures scalability and seamless API integration.
Harness engineering matters because it reflects a real shift in what AI engineering now demands.
Building AI agents used to be a prompting problem — now it's a systems engineering problem, and the ecosystem is still catching up.
Embedding dimensions describe how many numbers an AI model uses to represent the meaning of text, and the right size is a balance between quality, speed, and cost.
A practical guide to finding your public IP address from the command line with `dig` and `curl`, including when each approach is useful, how to verify the result, and the small operational details that matter in scripts and debugging.
A short API Platform note expanded into a practical guide to API-first development, framework responsibilities, and the design tools that help REST and GraphQL APIs stay understandable.
A short Pipenv note expanded into a practical guide for understanding what Pipfile and Pipfile.lock solve, how to install packages, and how to keep Python project environments reproducible.
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