Earlier this month I hosted a fireside chat session at the AI Engineer World's Fair with Cat Wu and Thariq Shihipar from Anthropic's Claude Code team. We talked about Claude Code, Claude Tag, Fable, coding agent secur... Context & related coverage →
Real-time multimodal applications, including voice agents and interactive video generation, compose heterogeneous models into pipelines whose efficient deployment requires application-specific decisions about placemen... Context & related coverage →
LangSmith now supports tracing for voice agents built with Pipecat, LiveKit, OpenAI Realtime, and Gemini Live. Capture audio, STT and TTS latency, interruptions, tool calls, and more in one trace. Context & related coverage →
Pruning long context for coding agents has been a vital technology for efficient context management. While existing context pruning methods such as SWE-Pruner realize this by attaching a separate code classifier, we f... Context & related coverage →
Apollo uses Deep Agents and LangSmith to power an AI Assistant that handles prospecting, enrichment, outreach, analytics, and MCP integrations. Context & related coverage →
Added emoji shortcode autocomplete in the prompt input: type :heart: to insert ❤️, or :hea for suggestions — disable with the emojiCompletionEnabled setting · Added warnings when transcript writes are failing (e.g. di... Context & related coverage →
Nativ: Run AI models locally on your Mac Prince Canuma is the developer behind the excellent MLX-VLM Python library for running vision-LLMs using MLX on a Mac. I'm really excited about his new project, which wraps MLX... Context & related coverage →
Coding agents can now be left alone to improve software against a score. In this pattern--recently popularized as "autoresearch"--the agent receives a dataset, an evaluation script, and one editable file, and iterates... Context & related coverage →