The OpenAI API is the most widely used interface for integrating AI models into products, offering features like chat completions, streaming, function calling, embeddings, image generation, and speech…
To build a voice AI assistant entirely in a web browser using about 200 lines of code and no backend server. It breaks down the process into three core components: Speech-to-Text (STT) using the free …
Detailed, step-by-step guide for building llama.cpp from source on a Dell Precision T5820 workstation equipped with an RTX 3090 Ti, achieving 42 tok/s with Qwen3.6-27B. The author emphasizes that the …
A recurring debugging failure where the author spent three months repeatedly asking an LLM (Claude Code) to fix a cron health monitor alert, only to discover the LLM was providing plausible but incorr…
A developer's solution for tracking API usage quotas across three AI coding tools (Claude Code, Codex, and Gemini CLI) using a single script. The author discovered that Claude Code's quota data is acc…
A checklist the author uses when testing a new OpenAI-compatible LLM gateway, which helps catch integration failures before moving real workloads. For Chinese models like Qwen, DeepSeek, GLM, and Kimi…
A self-taught developer's journey from freelance burnout to founding a startup called Mozart, driven by the realization that AI has shifted the role of developers from writing code to orchestrating an…
Drew Soule, a Wisconsin-based HR executive with 15 years of experience across multiple industries, builds custom HR workflow automations using the Claude API that are deployed in production environmen…
"uislop," a Go CLI tool created by a developer frustrated with the repetitive, AI-generated design patterns found on startup landing pages. The tool scores a webpage from 0 to 100 by analyzing its HTM…
IBM engineer Bob developed a custom skill for the "IBM Bob" coding agent to automate the design of HashiCorp Vault secrets engines, based on his own reverse-engineering experience and a tutorial he wr…
A fractional CTO for AI startups should focus on business constraints and preserving flexibility rather than designing perfect technical architectures. The key decisions involve managing inference cos…