AI
176 items
103 posts, 62 tools, 11 guides
Ask quick side questions without derailing the main task.
Prevent bloating the main conversation with research or exploration.
Fires on tool execution errors for logging, alerting, and retry.
Qwen3.6-27B keeps pulling developers back because it sits in the awkward, useful middle: strong enough for real local coding tasks, small enough for serious workstation testing, and cheap enough to benchmark honestly.
Most MCP servers are noise. After shipping 24 apps with Claude Code, these are the five I reach for every time.
From Claude Code to Gladia, the ten CLIs every AI-native developer should know. Install commands, trade-offs, and when to reach for each.
One dev, one CLI, 24 subdomains, and a lot of parallel agents. The playbook for shipping an AI app portfolio.
CLAUDE.md is the highest-leverage file in any Claude Code project. Here's what goes in one, what doesn't, and the patterns that actually ship.
Skills are how you stop copy-pasting the same workflow into Claude Code every session. What they are, how to write one, and where to find hundreds ready to use. Fact-checked against Anthropic's docs.
AI coding platform built for large, complex codebases. Context Engine indexes 500K+ files across repos with 100ms retrieval. Intent desktop app orchestrates parallel agents.
Open-source terminal coding agent from Moonshot AI. Powered by Kimi K2.5 (1T params, 32B active). 256K context window. Agent Swarm runs up to 100 parallel sub-agents.
Factory AI's terminal coding agent. Runs Anthropic and OpenAI models in one subscription. Handles full tasks end-to-end - refactors, incident response, migrations.
Open-source autonomous coding agent inside VS Code. Creates files, runs commands, and can use a browser for UI testing and debugging with your permission.
Multi-agent orchestration framework built on the OpenAI Agents SDK. Define agent roles, typed tools, and directional communication flows. Production-focused, open-source.
Type-safe Python agent framework from the Pydantic team. Brings the FastAPI feeling to AI development. Composable tools, durable execution, and full IDE autocomplete.
Structured data extraction from any LLM using Pydantic models. Automatic retries, validation, and streaming. 3M+ monthly downloads. Available in Python, TypeScript, Go, Ruby, and Rust.

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