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DEVELOPER TOOLS

222 items

215 posts, 7 tools

Blog
Two Small Devtools: SkillForge CI and Cost Tape

Two quality-of-life tools we built this week for Claude Code daily drivers: a SKILL.md linter and a VS Code status bar that shows live LLM spend.

Blog
Multica Turns Coding Agents Into Teammates. The Hard Part Is Receipts.

Multica is pushing the agent teammate pattern: assign issues, route work to local runtimes, stream progress, and compound skills. Here is the practical read for AI dev teams.

Blog
271 MCP Servers Exist. These 5 Actually Make Claude Code Better.

Most MCP servers are noise. After shipping 24 apps with Claude Code, these are the five I reach for every time.

Blog
10 CLI Tools Reshaping AI Development in 2026

From Claude Code to Gladia, the ten CLIs every AI-native developer should know. Install commands, trade-offs, and when to reach for each.

Blog
Claude Code vs Codex vs Cursor vs OpenCode: Which Agent Ships More Code?

Four agents, same tasks. Honest trade-offs from a developer shipping production apps with all of them.

Blog
Copilot Pro+ Premium Requests Explained in 2026: What Teams Miss in Pricing Comparisons

A practical breakdown of GitHub Copilot Pro and Pro+ in 2026, focused on premium request economics, the June 2026 move to AI Credits, and how to avoid request-burn surprises.

Blog
The MCP Server Ecosystem: A Developer's Guide for 2026

An opinionated guide to the MCP server ecosystem in 2026. Curated picks by category, real configuration examples, installation commands, and honest assessments of what works and what does not.

Tool
MCP Inspector

Visual testing tool for Model Context Protocol servers. Like Postman for MCP - call tools, browse resources, and view real-time logs in a browser UI. Zero install via npx.

Tool
MCP CLI

Lightweight CLI for discovering and calling MCP servers. Dynamic tool discovery reduces token consumption from 47K to 400 tokens. Three subcommands: info, grep, call.

Tool
MCP Hub

Centralized manager for MCP servers. Connect once to localhost:37373 and access all your servers through a single endpoint. REST API, web UI, and VS Code config compatible.

Tool
Smithery

Registry and hosting platform for MCP servers. 6,000+ servers indexed. One-command install and configuration via CLI. Supports local and hosted deployments.

Tool
Glama

Largest MCP server directory with 17,000+ servers. Security grading (A/B/C/F), compatibility scoring, and install configs. ChatGPT-like UI for browsing and testing.

Tool
Warp

AI-powered terminal built in Rust with GPU rendering. Block-based output, natural language commands, Agent Mode for autonomous tasks. 700K+ developers. Free tier available.

Blog
Local OpenTelemetry Traces Are Agent Receipts

AI agent work needs local observability. OpenTelemetry, OTLP, Vercel AI SDK telemetry, and lightweight trace viewers give developers receipts for model calls, tool use, latency, errors, and cost before anything goes to production.

Blog
How to Build MCP Servers in TypeScript

A step-by-step guide to building Model Context Protocol servers in TypeScript. Project setup, tool registration, resources, testing with Claude Code, and production patterns.

Blog
State of AI Coding: April 2026

The AI coding market just passed 90% developer adoption. Here's what the data actually says about which tools are winning, what's shifting, and where this is all heading.

Blog
Astral Joins OpenAI: What It Means for Python Developers

The creators of Ruff and uv are joining OpenAI. Here is what this means for the Python ecosystem, AI tooling, and why OpenAI is investing in developer infrastructure.

Blog
The 10 Best AI Coding Tools in 2026

From terminal agents to cloud IDEs - these are the AI coding tools worth using for TypeScript development in 2026.

Blog
CLIs Over MCPs: Why the Best AI Agent Tools Already Exist

OpenClaw has 247K stars and zero MCPs. The best tools for AI agents aren't new protocols - they're the CLIs developers have used for decades.

Blog
Why Claude Code Won: Unix Philosophy Meets AI Agents

Claude Code's popularity is not an accident. It won because terminal agents fit how software already works: files, shell commands, git, logs, project memory, and reviewable text.

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