The roadmap to building AI agents is becoming clearer Learn LLMs & prompting Add tools & APIs Implement memory Build workflows Orchestrate multi-agent systems Deploy, monitor, improve Great agents are not just intelligent.
They are connected, stateful,
AGENTS
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AI Agent Development Roadmap: From LLMs to Orchestration
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Context Hub Launched for AI Agent Context Management
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We launched Context Hub as a way to manage skills, AGENTS.md files, and other context files an agent might need You can easily use it as a virtual filesystem in deepagents See this video for more info!
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Fleet AI Agents Now Capable of Secure Code Execution and Analysis
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Fleet agents can now securely write and run code. With computer use in LangSmith Fleet, agents get isolated execution environments. Analyze data, transform files, generate & write code, and run shell commands all within a secure virtual computer. Now in public beta.
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AI Safety & Agent Security Tools: Claude, Google, Microsoft, OpenAI
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Doc of Claude Code plug-in: https://
code.claude.com/docs/en/securi
ty-guidance
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Google AI Threat Defense blog: https://
cloud.google.com/blog/products/
identity-security/introducing-google-ai-threat-defense
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Microsoft's RAMPART Blog: https://
microsoft.com/en-us/security
/blog/2026/05/20/introducing-rampart-and-clarity-open-source-tools-to-bring-safety-into-agent-development-workflow/
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OpenAI's Daybreak website: https://
openai.com/daybreak/
Perplexity's Bumblebee: https://
perplexity.ai/hub/blog/perpl
exity-is-open-sourcing-bumblebee
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Google Gemini Projects and Workflow Agents for Teams
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GOOGLE 🔥: Gemini for Business will get a new experience for collaborative Projects, where teams can work in a shared environment.
— 🚨 AI News | TestingCatalog (@testingcatalog) 27 mai 2026
Besides that, Google is rolling out Workflow Agents that can work on automation tasks across various apps. The same functionality is now available… pic.twitter.com/kkVRgh4F14GOOGLE : Gemini for Business will get a new experience for collaborative Projects, where teams can work in a shared environment. Besides that, Google is rolling out Workflow Agents that can work on automation tasks across various apps. The same functionality is now available
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Lyft’s AI Assist: How Ops Teams Ship Agents and Iterate with Prompts
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Today, Ops teams, VoC leads, and PMs are now writing prompts, shipping agents, and iterating. No MLEs required. Read @Lyft
’s guest blog to see how they improved AI Assist, why they treated prompts like product specs rather than code comments, + what’s next. -
Lyft Enhances AI Agent Development with LangGraph and LangSmith
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@Lyft accelerated agent development from 6 months to just a few weeks with LangGraph and LangSmith. Hallucinations decreased by 20% AI Resolution rate up by 16%
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LangSmith Engine Automates AI Agent Improvement Cycles
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Improving your agent has been a manual process of:
— LangChain (@LangChain) 27 mai 2026
✅ Reading traces
✅ Looking for patterns
✅ Writing evals
✅ Creating fixes
Now, LangSmith Engine runs that cycle for you. pic.twitter.com/YsFn37mtA3Improving your agent has been a manual process of: Reading traces Looking for patterns Writing evals Creating fixes Now, LangSmith Engine runs that cycle for you.
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Ruflo Transforms Claude Code into Multi-Agent System
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One command just turned Claude Code into 100 agents that learn. Claude Code is powerful, but it runs as a single agent. No shared memory, no parallel delegation, no cross-task coordination. Ruflo, formerly claude-flow, fixes that with one command. A single npx init spins
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Agentic AI and Premium Inference Speed Explained
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Agentic AI changes what speed actually means.
— SambaNova (@SambaNovaAI) 27 mai 2026
Behind every response, multiple agents are reasoning and exchanging tokens in real time. Faster inference means faster outcomes.
🎧 @SumtiJairath explains why premium inference matters @dcdnews: https://t.co/9Wwc0vkssJ pic.twitter.com/4eKEfKJjyRAgentic AI changes what speed actually means. Behind every response, multiple agents are reasoning and exchanging tokens in real time. Faster inference means faster outcomes. @SumtiJairath explains why premium inference matters @dcdnews
: https://
podcasts.apple.com/us/podcast/epi
sode-102-the-training-to-inference-passageway/id1607349232?i=1000764784324
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