Benchmarks, implementation guides, framework comparisons, LLM infrastructure analysis, MCP notes, security reviews, and production lessons for developers shipping with AI.
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Agent Model Routing: When Small Models Beat Frontier Models for Tool Calling
Most AI agent steps don't need GPT-5 or Claude Opus. Here's how to route structured tasks to cheaper, faster small models — with real cost and latency numbers.
LLM Observability Is Not Optional — Your Agent Is a Black Box
AI agents make decisions you can't see. Here's how Langfuse, Helicone, Phoenix, and OpenLit give you real visibility into prompts, token spend, latency, and failure modes.
AI Coding Agents Generate Code Fast — But Who Maintains It?
Your AI coding agent doubles output but may double maintenance costs too. Here's how to evaluate agents by code quality, not just speed — with real tools and workflows.
Latest
Agent Model Routing: When Small Models Beat Frontier Models for Tool Calling
Most AI agent steps don't need GPT-5 or Claude Opus. Here's how to route structured tasks to cheaper, faster small models — with real cost and latency numbers.
LLM Observability Is Not Optional — Your Agent Is a Black Box
AI agents make decisions you can't see. Here's how Langfuse, Helicone, Phoenix, and OpenLit give you real visibility into prompts, token spend, latency, and failure modes.
AI Coding Agents Generate Code Fast — But Who Maintains It?
Your AI coding agent doubles output but may double maintenance costs too. Here's how to evaluate agents by code quality, not just speed — with real tools and workflows.
MCP Tool Calling vs Code Execution: The New Battleground for AI Agents
AI agents are shifting from JSON-based MCP tool schemas to writing and running real code. Here's what the code-execution movement means for your stack — and when to use each app...
Why AI Coding Agents Need Their Own Version Control
AI agents like Claude Code and Cursor rewrite your codebase autonomously. Here's why you need agent-aware version control, audit trails, and rollback — and the tools that solve it.
Why Your AI Agent Needs Control Flow, Not More Prompts
Prompt-driven agents break at scale. Here's how LangGraph, OpenAI Agents SDK, and Pydantic AI handle deterministic control flow — and when each approach actually works.
AI Agents That Deploy Themselves: The Infrastructure Stack for Autonomous Agents
AI agents can now create cloud accounts, buy domains, and deploy to production without human setup. Here is the emerging infrastructure stack and what it means for developers.
Computer Use vs Structured APIs: The 45x Cost Gap Nobody Talks About
Vision-based AI agents cost 45x more than structured API agents for the same task. Real benchmarks, real numbers, and when each approach actually makes sense.
Vibe Coding and Agentic Engineering Are Converging — What Developers Need to Know
Simon Willison's realization that vibe coding and agentic engineering have blurred, plus what it means when Claude Code doubles its rate limits and agents write production code ...
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