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llm
536 postsAI's Next Frontier Is Infrastructure Control, Not Models
Mozilla's Otari project argues enterprise AI's real bottleneck isn't model quality but cost visibility, multi-provider sprawl, and governance at scale.
OpenTab: A Lazygit-Style TUI for Tracking AI Coding Spend
OpenTab reads local records from AI coding tools like OpenCode, Claude Code, Codex, and Copilot to show your token spend by month, day, project, and model.
daily_stock_analysis review: how reliable is LLM-based stock analysis?
Open-source daily_stock_analysis brings LLM-powered analysis to A-shares, Hong Kong and US markets. Setup, cost, benchmarks and pitfalls covered in this hands-on review.
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.comGrok 4.5 Signals AI's Shift From Chatbots to Agent Workflows
xAI's Grok 4.5 launch reveals how the AI race is shifting from chatbots to tool-using agent workflows that operate inside real codebases. Here's what it means for developers.
Vercel AI SDK 6: Building Bounded Autonomous Agent Loops
Vercel AI SDK 6 adds ToolLoopAgent, typed tools and MCP support. Learn how to build production-safe agent loops with step caps, schema checks and approval gates.
Beyond Chatbots: An Agentic AI Architecture for React Native
How to build Agentic AI assistants that actually act inside mobile apps: skill-based architecture, confirmation flows, error recovery and privacy design.
Benchmarking Edge LLM State Collapse: Drift Gauntlet & CSMS
Drift Gauntlet benchmarks recursive LLM state collapse on Jetson Orin Nano edge hardware, while CSMS runtime governance prevents it with near-zero latency cost.
Foreman: A Self-Hosted, Cost-Aware LLM Gateway for Coding Agents
Foreman is an open-source, self-hosted gateway between coding agents and LLM providers that routes by cost, preserves prompt caching, and logs every spend.
Building Governance Into Autonomous Security Agents
A four-layer architecture separates reasoning from the underlying model, making autonomous security agents auditable, model-agnostic, and ready for emerging AI regulation.
BrAIn: Reactive AI Agent Nodes on a NATS Bus
BrAIn replaces the chat-loop agent model with reactive, long-lived nodes on a NATS pub/sub bus. ROS-like architecture, token-efficient design, and distributed execution for LLM agents.