Announcement
cq: Stack Overflow for Agents
cq explores a Stack Overflow for agents, a shared commons where agents can query past learnings, contribute new knowledge, and avoid repeating the same mistakes in isolation.
Peter Wilson
Based in the North East of England, with 20+ years in software engineering across security, infrastructure, and developer tooling. Staff Engineer at Mozilla.ai, formerly HashiCorp; Principal Engineer at NatWest and Architect at Sage.
Technical Content
The Star Chamber: Multi-LLM Consensus for Code Quality
The Star Chamber runs code reviews across multiple LLM providers and aggregates their feedback by consensus. Instead of relying on one model’s perspective, developers get a structured view of where models agree, disagree, and raise unique insights.
Announcement
Run OpenAI, Claude, Mistral, llamafile, and more from one interface, now in Go!
Run any model, from any provider, like OpenAI, Claude, Mistral, or llamafile from one interface, now in Go. any-llm-go delivers type-safe provider abstraction, channel-based streaming, and normalized error handling across eight providers.
Product Release
Octonous: Making AI useful for everyday work
Octonous helps people stay in flow while work runs across connected apps. The assistant takes real actions, reads messages, updates tools, and creates items while showing every step and asking for approval before anything changes.
Product Release
mcpd Plugins: Extend Your Agent Infrastructure Without Touching Your Code
The new plugin system transforms mcpd from a tool-server manager into an extensible enforcement and transformation layer—where authentication, validation, rate limiting, and custom logic live in one governed pipeline.
Product Release
mcpd-proxy: Centralized Tool Access for AI agents in VS Code, Cursor, and Beyond
With mcpd-proxy, teams no longer juggle multiple MCP configs. Run all servers behind one proxy and give every developer the same zero-config access inside their IDE.
Product Release
Meet mcpd: requirements.txt for agentic systems
mcpd is to agents what requirements.txt is to applications: a single config to declare, pin, and run the tools your agents need, consistently across local, CI, and production.