Developer Tools & Local AI Workflows
Technical guides, terminal workflows, and architecture breakdowns for software developers. Learn how to run coding agents locally, evaluate compact SLMs, and build on open-source infrastructure without recurring API bills.
Developer tools and local AI workflows enable engineers to deploy autonomous coding agents, run efficient local inference, and architect resilient software without prohibitive API overhead. This hub curates practical technical walkthroughs for software developers and technical founders.
- Local AI & SLM Deployment: Running quantized small language models (Ollama, vLLM, DeepSeek, Llama) locally for low latency, privacy, and zero token costs.
- Autonomous Coding Agents: Configuring terminal-first developer tools like Claude Code, free API workarounds, and IDE agents for production codebases.
- Open Source & Developer APIs: Leveraging vast public API directories (320k+ free endpoints) and open-source packages to build robust software faster.
Why Small AI Models Are the Real Gold Rush
Everyone's chasing GPT-5. Smart builders are fine-tuning 7B models and printing money.
AI Just Ran on a 1997 Computer.
They got a modern AI model running on Windows 98 with 128MB of RAM. The future just shifted.
320,000 Free APIs: The Internet Just Handed Developers a Cheat Code
A list of 320,000+ free public APIs is making waves among developers. Here's what it means for builders, makers, and anyone who wants to build without paying for data.
Run Claude Code for Free (No API Bills, No Limits)
Run Claude Code locally for free using Ollama. No API bills, no rate limits, full privacy. Step-by-step setup guide for developers in 2026.
One Man. Google Never Won.
China just said no to Meta and 1.4M Udemy accounts are already out there.