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llm
536 postsCatch your local LLM falling back to CPU
Picchio is a Python file that checks your local LLM setup, showing if the GPU really did the work.
How AI Agents Play the Game of Diplomacy
Learn about the process of playing Diplomacy with AI agents, including negotiation phases and recording procedures.
Prismata: Defending Web Agents Against Prompt Injection Attacks
Prismata introduces a new defense mechanism using dynamic trust labeling and content restriction to protect web agents from cross-site prompt injection attacks.
CommitBrief — AI code reviews, right in your terminal
A provider-agnostic, local-first CLI that reviews your staged changes, a historic range, or a whole GitHub pull request. Zero telemetry, no server. Free and open source.
commitbrief.comPython Automation Cookbook: Building AI-Driven Decision Pipelines
A practical pattern for adding lightweight AI classification steps to deterministic script pipelines, handling judgment calls that if/else logic can't cover.
Lessons Learned Designing MCP Tools for AI Agents
How the FlurryPORT developer discovered why AI agents ignored their MCP tools, and the practical design lessons that fixed it.
Anthropic Scores AI Jailbreaks Like CVEs With New CJS Scale
Anthropic unveiled the CJS scale for grading AI jailbreak severity like CVEs, launching Claude Fable 5 alongside this new framework for the industry.
A production-ready MCP server: 6 core architecture rules
Six architectural decisions that turn Model Context Protocol servers from tutorial demos into production systems: server factories, dual transports, Zod validation and SSRF safeguards.
Why Does Your LLM Bill Grow Even When Traffic Doesn't?
LLM costs can rise even when user traffic stays flat. Learn why tracking tokens per operation, not raw requests, reveals hidden cost drivers in production.
GPT-5.6 Arrives, Fable 5 Goes Metered: Cost Control Still Missing
OpenAI's GPT-5.6 rollout and Anthropic's newly metered Fable 5 expose a deeper gap in AI coding tools: no reliable way to track, reserve, or explain agent spending.
Building Zero-Dependency MCP Servers in Pure Python
A practical walkthrough for implementing Anthropic's Model Context Protocol from scratch using only the Python standard library, with no SDK or pip dependencies.