Ah.. the golden age of pretending to do the work while Claude Code runs in the background.
AUTOMATION
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Launch of LangSmith Engine for AI Agent Trace Monitoring
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🚀Launching: LangSmith Engine
— Harrison Chase (@hwchase17) 13 mai 2026
LangSmith Engine is an agent that sits on top of your traces
It runs in the background and automatically identifies issues
It then proactively suggests action items (code changes, evaluators to add)
Try it today: https://t.co/f2ZRkogGGS pic.twitter.com/R1e2B69jdRLaunching: LangSmith Engine LangSmith Engine is an agent that sits on top of your traces It runs in the background and automatically identifies issues It then proactively suggests action items (code changes, evaluators to add) Try it today: http://
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Development Environments Enabling End-to-End AI Agent Task Execution
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Customers like Decagon, Amplitude, BILT, and Snyk use development environments to let their agents handle tasks end-to-end. Learn more:
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AI Agents Now Support Multi-Repo Environments
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Cloud agents and automations now support multi-repo environments.
— Cursor (@cursor_ai) 13 mai 2026
Configure a single environment with all the repos an agent needs, and reuse it across sessions. pic.twitter.com/u9YzT3gmoHCloud agents and automations now support multi-repo environments. Configure a single environment with all the repos an agent needs, and reuse it across sessions.
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Anthropic overtakes OpenAI in business adoption, quadrupling usage
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Holy: Anthropic just overtook OpenAI in business adoption for the first time. According to new Ramp AI Index data, 34.4% of businesses now use Anthropic, compared to 32.3% using OpenAI. The more interesting part: Anthropic’s adoption quadrupled (!) over the last year.
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AI for Collaborative System Design, Paper Analysis, and Fact-Checking
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more demos on Interaction Models collaboratively doing system design, reading papers, fact-checking with live generative UI https://t.co/OsbFWIIKAh
— Soumith Chintala (@soumithchintala) 13 mai 2026more demos on Interaction Models collaboratively doing system design, reading papers, fact-checking with live generative UI
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Questioning AI Generalization: Beyond Autonomous Operation
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The problem is that is the wrong question. I am sure they are running autonomously. The question is when will they be generalized. Able to do a new unexpected task?
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Claude Code Integration for AI-Driven Lifecycle Management
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Your team uses Claude Code. Inside Domino, it doesn't stop at code. It runs jobs, tracks experiments, registers models and writes to the audit trail. Same agent. Whole lifecycle. 30 seconds: https://
hubs.ly/Q04gppSL0
Blog: https://
hubs.ly/Q04gpp290 -
Perplexity is building a secure agent runtime sandbox
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Perplexity is building one of the most secure scalable agent runtime sandboxes in the market right now. A blog post on how we: 1. Handle proxy API keys for agents securely 2. Run safety detection for all content accessed by agents 3. Encrypt data passed via connectors to
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Using AI Agents for Automated Task Management
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awesome! mind submitting these via your agent? point it at agent-docs, and it it'll create tickets for us to work through 🙂