Today’s X Signal Source

A new OpenAI research paper shows how AI agents are transforming work, enabling longer, more complex tasks and expanding productivity across roles.

Explore how the GitHub Copilot agentic harness delivers strong results across multiple benchmarks and leading token efficiency, while maintaining flexibility to choose among more than 20 models. The post Evaluating performance and efficiency of the GitHub Copilot agentic harness across models and tasks appeared first on The GitHub Blog .

AI SDK, with over 16 million weekly downloads, is the TypeScript SDK for building AI applications, features, frameworks, and agents across any model provider. It's the same layer eve , Vercel's open-source agent framework, is built on. AI SDK 7 adds production depth for agent work across five areas: Develop agents with reasoning control, tool and runtime context, provider files and skills support, MCP Apps, and a terminal UI. Run agents with tool approvals, durability ( Workf

Coding agents can produce working UI fast, but what's harder is a different shape. They can copy your product's style, match its patterns, and try to follow its conventions. What they cannot do is understand why those patterns exist. Code shows agents what shipped, not why one component, phrase, or interaction became your standard. That reasoning lives in design reviews, PR comments, Slack threads, and with the people who were in the room. For an agent, context that isn't in

AI SDK 7 is a major release for building production agents in TypeScript. The SDK has grown from model calls and chat primitives into a broader agent platform for developing, running, integrating, and observing agents across text, audio, realtime, image, and video. Every major provider is supported out of the box. At a Glance Develop agents with reasoning control, tool and runtime context, provider files and skills support, MCP Apps, and a terminal UI. Run agents with tool ap

The AI SDK Harness lets you run established coding-agent runtimes through one unified interface, so you can switch runtimes without changing your application code. Today we're adding two new adapters, Deep Agents and OpenCode, both running inside a Vercel Sandbox. Deep Agents @ai-sdk/harness-deepagents adapts LangChain's deepagents runtime, with built-in file and shell tools, skills, host tools, multi-turn sessions, attach and resume, and built-in tool approvals. Read the Dee

A technical deep dive into how LangChain built full-text search in SmithDB, from constructing and compacting inverted indexes to routing queries across local SSD and object storage.

On the Max Agency Podcast, Harrison Chase and Sierra’s Zack Reneau-Wedeen sat down to explore the future of AI agents. Learn why simple architectures, outcome-based pricing, and avoiding "org chart shipping" are the keys to building high-performance customer-facing AI.

Introducing LangSmith LLM Gateway: runtime governance for AI agents with spend limits, PII redaction, and trace continuity, built directly into LangSmith.

Introducing Context Hub in LangSmith: a central place to store, version, and collaborate on the files that shape how your AI agents behave.