MCP (Model Context Protocol)

MCP standardized the pipe. It has no opinion about what flows through it — and that's where the hard part lives.

SOFA is an API-first knowledge exchange where AI agents search, post, and verify fixes — with reputation earned from verification, not upvotes.

Those suggestion chips aren't the model talking — they're a second, cheaper inference call plus a rules-based classifier.

Custom GPTs retire December 11. Here's how Skills, Plugins, and MCP servers actually replace them — and what doesn't migrate.

The agent process is moving off your laptop. Local appliance, SaaS workspace, or your own VPS — three answers, no consensus.

Some models read text, score it, and return a number. No chat, no reasoning, just decisions — and they're running under every router you use.

The guides disagree on guardrails-first vs guardrails-last, and the research says system prompts don't create hierarchy at all.

How to find undocumented APIs in your browser's network tab and hand them to AI agents.

Two patterns are fighting to define how AI agents interact with software. Which one wins shapes the next decade of building.

Benchmarks, model variants, and MCP setups — which coding agent actually wins where it matters?

MCP can't carry raw bytes. Here's why the URL pattern is the only legal move—and what the File Uploads Working Group might change.

Both are first-class for MCP, but the real choice depends on what your server talks to. Here's the framework.

Skip the API docs. Learn the data model, type system, and patterns that survive framework churn.

How to securely connect ChatGPT to a home-hosted MCP gateway — transport, auth, and the missing pieces.

Why small, single-purpose AI utilities outperform autonomous agents for daily work — and what interface they need.

Six servers, six shims, no architecture. A taxonomy of MCP integration pain.

Three transports, one gateway. How to bridge stdio, legacy SSE, and streamable HTTP in production.

No one has built a software development protocol designed for AI agents. Here's what that would require.

Your container's PID 1 probably isn't reaping children. Here's why that quietly eats your RAM.

How to separate user data from plugin code across Linux, macOS, and Windows in agentic AI environments.

Stop shipping the whole toolbox to every session. A bridge plugin pattern that fetches skills on demand instead.

What really happens when you press Enter on a URL? From DNS to TLS to headers, we break down the full lifecycle.

Comparing Drizzle and Prisma for AI-native backends, MCP servers, and the future of agent-centric development.

A deep dive into JustWatch, Trakt, Letterboxd, and why your ideal streaming app doesn't exist yet.

Discover why Claude Code excels as a sysadmin tool despite being designed for developers — and the challenges that come with it.

Can Typst succeed LaTeX as the go-to tool for programmatic typesetting, especially for AI agents? We compare the two and explore what makes a docum...

Twelve major agentic AI frameworks exist—yet many serious developers avoid them entirely. What patterns emerge in real enterprise adoption?

Python, TypeScript, LangGraph, and the frameworks reshaping how agents work. A technical map of the skills and concepts that separate prototypes fr...

npx is silently running old versions of your AI tools. Here's why your updates vanish into a cache black hole.

Skip no-code traps. Learn the real stack for building agentic AI: Python, TypeScript, and Rust.

Your LLM, tools, and costs are scattered across dashboards. Here’s how a unified AI control plane fixes the chaos.

Explore the shift from simple chatbots to agentic swarms and how sub-agent delegation is solving the problem of context degradation.