Brick + Claude Code CLI: A Practical Guide to Smarter AI Routing and Cost Optimization
If you're running Claude Code CLI in production—or even just heavily in your daily workflow—you've probably noticed your API bills creeping up. The default…
Stories, experiments, research and deep‑dives into the world of artificial intelligence
If you're running Claude Code CLI in production—or even just heavily in your daily workflow—you've probably noticed your API bills creeping up. The default…
Thinking Machines Lab has released Inkling, its first foundation model trained from scratch and designed for developers who need more control than a closed…
If you want to make a coding LLM more reliable, start by upgrading the harness instead of swapping models. LangChain’s middleware system lets you…
Announced on July 14, 2026, the model supports a 262K token context window while delivering impressive local inference performance: 163 tokens/second on an NVIDIA…
An agent harness is the layer around a model that manages context, tools, permissions, memory, execution flow, and monitoring. Many teams blame the model…
On June 15, 2026, Boris Cherny, head of Claude Code at Anthropic, shifted the industry perspective on AI systems with a simple admission: "I…
Step-by-step guide to setting up opencode with Brick-V1-Beta for automatic model routing across 6 specialized subagents via Regolo API.
OpenWiki is a CLI tool built by LangChain that writes and maintains documentation for your codebase using an LLM agent – Instead of hand-writing…
Brick is an open-source routing gateway (Mixture-of-Models or MoM) that automatically forwards each user query to the optimal model from your configured pool, analyzing…
A step-by-step guide to installing agentmemory with OpenCode and Regolo.ai — keeping all session data on-premise, fully GDPR-compliant. Every AI coding agent forgets everything…
Both models were released in June 2026, both carry a 1M-token context window, and both target the same enterprise buyer: teams that want frontier…
This pattern is for teams building RAG over millions of chunks, where float32 embeddings start to dominate RAM, SSD, and retrieval cost. This is…