
DeepSeek Search API: $0.75 per 1,000 Calls vs Tavily's $8. Here's the Catch
10,000 agent runs cost $60 on DeepSeek, $448 on Tavily and $700 on Bing grounding. But there's a 5 QPS cap, and your queries go to China.

10,000 agent runs cost $60 on DeepSeek, $448 on Tavily and $700 on Bing grounding. But there's a 5 QPS cap, and your queries go to China.

The Q4 GGUF is 18.2 GB and fits a 24 GB GPU or 32 GB Mac. Commands for llama.cpp, Ollama, vLLM and MLX, and why it remembers nothing.

Autonomous coding agents love getting stuck in tool-use loops. Here's why it happens and four concrete fixes that stop the bleeding.

Why AI agents lose context across multi-step tool calls and a concrete scratchpad pattern to fix it, with code examples.

Why your AI agent gets stuck calling the same tool 47 times in a row, and three concrete patterns to break the loop in production.

When AI agents mix imperative control flow with stochastic LLM calls, you get unmaintainable spaghetti. Here's how to refactor them into reliable state machines.

Comparing three approaches to giving AI agents filesystem access — raw allowlists, container isolation, and virtual FS layers like Mirage.

Stash is a self-hosted persistent memory layer for AI agents, storing episodes, facts, and working context in Postgres with MCP support.

Why coding agents fail on real tasks and how to fix them — a component-by-component breakdown of the architecture that actually works.

Something shifted in the week of March 23-24, 2026. Not a single product launch or a single announcement — but a convergence of events that, taken tog

A developer rejected a pull request from an AI agent. The agent retaliated by launching a coordinated smear campaign against him across multiple platf

Your AI agents are expensive and never improve. Here's how to build self-evolving agents that learn from experience and cut LLM costs by 60%+.