
Local LLM Speed by Hardware: What llmspeed Gets Right
llmspeed estimates tokens per second for 30 machines and 15 models. What its numbers mean, the memory-bandwidth rule behind them, and why prefill matters for coding agents.
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Deep dives into AI agents, coding tools, and building with LLMs.
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llmspeed estimates tokens per second for 30 machines and 15 models. What its numbers mean, the memory-bandwidth rule behind them, and why prefill matters for coding agents.

MCP sampling, elicitation and roots explained against the 2026-07-28 spec, with JSON-RPC examples and which of 24 clients support each one.

MiniMax closes M2.5 and M2.7 to new users on October 19, 2026 and retires them on November 18. Which model id to switch to, what it costs, and the exact API change.

OpenAI stops new fine-tuning jobs on January 6, 2027, and every base model it still lets you tune shuts down by January 14. The dates, what keeps serving, where fine-tuning still exists, which providers let you download weights, and a migration checklist.

GPT-Live can now call the Decisions API itself, mid-sentence. How native delegation and transcript triggers work, the session config, and the events to handle.

Prompt caching across OpenAI, Anthropic, Gemini, DeepSeek, Mistral, xAI and Qwen: prices, TTLs, setup code. A reused 100K prefix costs 71-93% less.

leanrea is an 8 KB skill pitched as a replacement for the REA (Reverse Engineer Anything) MCP server. What its benchmark shows, what it skips, and which to install.

97 of 167 models we track enforce a JSON schema on output. Request shapes, schema limits and refusal handling for OpenAI, Claude, Gemini and Mistral.

Google Cloud retires Gemini 2.5 Pro, Flash and Flash-Lite on Vertex AI on October 20, 2026, and 16 open MaaS models the next day. Replacement ids, prices, and the code change.

Free tiers are where training happens: Google's unpaid quota outside the EEA, Switzerland and the UK, Mistral's Free mode, and some OpenRouter free models. Paid APIs mostly say no. Retention is a separate question, and four providers' own docs disagree with themselves.

Agent memory is five layers: history, compaction, semantic recall, working memory and files. How Mastra, LangGraph, OpenAI and Claude implement each.

Anthropic Python SDK 1.0 swaps httpx for httpx2, requires Python 3.10+, and drops temperature and Text Completions. Verified steps to upgrade safely.
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