It was easy to miss all the stuff we shipped at Anthropic this past week given… everything else that happened. A few of my favorites across Claude Code, claude dot ai, and Cowork:
CODE
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Cursor: Recurring Revenue Doubles in Three Months
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👀👀
https://www.bloomberg.com/news/articles/2026-03-02/cursor-recurring-revenue-doubles-in-three-months-to-2-billion?srnd=homepage-americas [Image] [Translated from EN to English]→ View original post on X — @rachelmetz, 2026-03-02 21:33 UTC
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Software Architecture Proposal for AIGNE Framework
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to be clear about what this is and isn't. this is a software architecture proposal, not a benchmark-beating system. the implementation is in the AIGNE framework with two exemplars: a memory-enabled chatbot and an MCP-based GitHub assistant. proof of concept, not production at
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Three Tiers of Persistent Context Explained
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the paper defines three tiers of persistent context, each with different lifecycles. scratchpads (/context/pad/) are temporary working notes scoped to a task. think of them as the agent's rough draft space. episodic memory (/context/memory/episodic/) holds session-bounded
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QueryWeaver GitHub Project Promotes AI-Related Categories
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QueryWeaver GitHub: (don't forget to star )
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Introduction to Building Reusable Agent Skills with Claude Code
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8, Introduction to Agent Skills Créez des compétences réutilisables avec Claude Code. https://
anthropic.skilljar.com/introduction-t
o-agent-skills
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joyfl v0.7: Stack Manipulation Puzzle Solver Framework
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joyfl — v0.7: Quotation Solver Newest release last week uses the existing search framework to find matching program fragments. It's like using a sudoku solver to discover solutions for stack manipulation puzzles, based on user-provided tests.
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Building a Text-to-Image Generator from Scratch
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Build a Text-to-Image Generator (from Scratch), with transformers and diffusions: http://
amzn.to/3MFbyK4 by @mark_h_liu v/ @ManningBooks -
Hands-on Guide to Building AI Agents
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AI Agents in Action: http://
amzn.to/44kbHsL v/ @ManningBooks Gain hands-on experience in these areas: Understand & implement AI agent behavior patterns Design & deploy production-ready intelligent agents Leverage the OpenAI Assistants API and complementary tools -
Lean community contributions to proof tooling and Mathlib development
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RT @Robertljg: Honestly, a huge part of this is thanks to the incredible Lean community @leanprover ! Mathlib, proof tooling, and years of…
→ View original post on X — @animaanandkumar, 2026-03-02 00:12 UTC