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LangChain BlogMar 26, 2026

How Middleware Lets You Customize Your Agent Harness

LangChain introduces Agent Middleware — a pattern for customising agent harnesses by injecting logic between the LLM and its environment without modifying core harness code. Covers the design pattern, use cases (logging, auth, rate limiting, retry logic), and how it enables teams to build application-specific harnesses on top of LangChain's Deep Agents framework.

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Cursor BlogMar 26, 2026

Improving Composer Through Real-Time RL

Cursor applies online reinforcement learning to Composer — serving new model checkpoints to production and using real user interactions as reward signals to ship improved checkpoints multiple times per day. A practical account of how they close the loop between production usage and model training at high cadence. Fascinating engineering for anyone building RL-trained coding models.

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LangChain BlogMar 25, 2026

Skills in LangSmith Fleet

LangSmith Fleet now supports shareable skills — letting teams equip agents with reusable knowledge packages for specialised tasks that can be shared across the organisation. Brings the Agent Skills pattern into LangChain's production platform, making it easy to compose and distribute agent capabilities at team scale.

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Google AI BlogMar 25, 2026

Build with Lyria 3, our newest music generation model

Google announced Lyria 3, a new music-generation model now available in paid preview via the Gemini API and Google AI Studio. The update expands capabilities for generating longer, higher-fidelity tracks and offers tools for developers to integrate music generation into apps and workflows. For developer-focused products, Lyria 3 opens opportunities for creative tooling and media automation.

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