Holy, in its early days, Cursor accounted for roughly 40% to 50% of Anthropic's revenue. And Claude Code was just a reserach project. How quickly everything has changed.
AGENTS
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Full Analysis of CUA-Bench Benchmark for Computer Use Agents
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Full analysis by @qi_zhengyang
: https://
snorkel.ai/blog/cua-bench
-benchmarking-computer-use-agents-on-professional-software/
… Tasks: https://
cua.ai/cuabench/regis
try/cua-bench-kicad
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Fleet turns a chat into an agent for your daily applications
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Describe a task in a short prompt. Fleet devises a plan, takes action, and works with the applications your team uses daily. Turn a chat into an agent in just a few clicks.
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Index entire Linux kernel in 3 minutes with codebase-memory-mcp
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How do you index the entire Linux kernel (28M lines of code) for an AI agent in 3 minutes? You stop letting the agent read files one by one. There is a fascinating new open-source release called codebase-memory-mcp. It's a code intelligence engine that swaps traditional
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Google’s 50-page breakdown on AI agent failures and vibe coding shift
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My friend @Saboo_Shubham_
, @AddyOsmani and the team at Google just published a 50-page breakdown on the shift from vibe coding to agentic engineering. It covers the new Software Development Life Cycle with AI Agents. The most interesting takeaway? Most AI agent failures aren't -
Frontier computer-use agent fails on 21 of 25 electrical engineering tasks
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New research: we partnered with @francedot and @ddupont808 at @trycua to stress-test a frontier computer-use agent on real electrical engineering tasks.
— Snorkel AI (@SnorkelAI) 15 juin 2026
25 expert-authored KiCad tasks. 4 passed. 0 build-from-scratch tasks succeeded.
The failure modes are concrete and they point… https://t.co/qHDpHC4jFFNew research: we partnered with @francedot and @ddupont808 at @trycua to stress-test a frontier computer-use agent on real electrical engineering tasks. 25 expert-authored KiCad tasks. 4 passed. 0 build-from-scratch tasks succeeded. The failure modes are concrete and they point
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Voice control agent builds concept, cast, storyboards, and shots
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Use voice control (very beta), or simply type to have the agent build everything from concept, to cast, to storyboards and generations.
— Pika (@pika_labs) 15 juin 2026
Shots are generated directly from approved boards, and automatically placed in both your timeline and your asset library.
Editing happens via… pic.twitter.com/1JtzZJKLklUse voice control (very beta), or simply type to have the agent build everything from concept, to cast, to storyboards and generations. Shots are generated directly from approved boards, and automatically placed in both your timeline and your asset library. Editing happens via
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100+ prompts for agents with Codex /goal checking on Fable launch
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I've created a list of 100+ prompts for the equal number of different agents and I have Codex with /goal checking on Fable launching every 5 minutes so that I can unleash them when it happens.
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Energy: The Foundation of AI’s 5-Layer Cake
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Energy is the foundation of the 5-Layer Cake of AI. As demand for AI accelerates, energy is the key constraint on growth. From energy and utilities to surface and underground operations — AI, digital twins, and agents
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How AI agents transform version control and branching strategies
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While the paper does not contain a standalone section exclusively focused on traditional version control systems, it outlines how version control, repository management, and branching strategies change when working with AI agents. Like treating Agent Context and Rules as