“How CodeRabbit used Claude to build an agent orchestration system - A case study describing how CodeRabbit leveraged Claude to build an agent orchestration system, including implementation details and benefits for developer workflows.”

#2 📝 Claude Code Blog How CodeRabbit used Claude to build an agent orchestration system - A case study describing how CodeRabbit leveraged Claude to build an agent orchestration system, including implementation details and benefits for developer workflows. The piece highlights real-world outcomes and lessons learned from deploying agents at scale.

“Anthropic rolled out a sandboxing system in Claude that evolves agent access and permissions alongside their capabilities, ensuring any potentially destructive actions stay contained.”

GenAI PM Daily May 27, 2026 GenAI PM Daily 🎧 Listen to this brief 3 min listen Today's top 22 insights for PM Builders from X and Blogs. Anthropic rolls out evolving sandbox system in Claude #1 𝕏 Google DeepMind has watermarked over 100 billion pieces of content with its SynthID technology and is partnering with OpenAI, ElevenLabs, and Kakao to integrate SynthID watermarking into their models, accelerating the cross-industry momentum begun with NVIDIA. #2 𝕏 Mustafa Suleyman introduces MAI-Image-2.5, now ranked third on @arena’s text-to-image leaderboard, showcasing a major quality leap and teasing more Microsoft AI innovations at next week’s Build. #3 𝕏 Google DeepMind unveiled Gemini for Science, a suite of AI-driven tools designed to help researchers accelerate discoveries and unlock their next breakthroughs. #4 𝕏 Anthropic rolled out a sandboxing system in Claude that evolves agent access and permissions alongside their capabilities, ensuring any potentially destructive actions stay contained. #5 𝕏 Philipp Schmid launched the Gemini Managed Agents Dev Guide, showing that one API call spins up Gemini 3.5 Flash with the Antigravity Harness and a remote Linux sandbox—no infrastructure or orchestration needed. #6 𝕏 LlamaIndex 🦙 demos automating loan underwriting with LlamaParse in just a few lines: converting PDFs to clean Markdown, extracting fields into Pydantic models, and running cross-document analysis. It then generates an underwriting summary complete with discrepancy flags. #7 📝 PromptLayer Blog From Skills Back to Tools: Why Our Dashboard Assistant Moved Off the Claude Code SDK - A post describing why the team replaced the Claude Code SDK and skills architecture in their in-app assistant with a simpler prompt-and-tools approach. It explains the rationale and implications for engineering workflows. #8 𝕏 Garry Tan uses three frontier LLMs to score agent skill-file code on effectiveness, asking “Why isn’t it a 10?” and “How to make it so?” then reruns for rapid improvement. Embedding these evals plus unit tests in the code ensures it keeps getting better forever. #9 𝕏 xAI optimized caching and reset Grok Build Beta usage limits for all accounts to address feedback about hitting limits quickly, and encourages continued feedback. #10 𝕏 Santiago presents DigitalOcean’s Inference Router, an OpenAI-style interface that analyzes your prompt and routes it to the optimal foundation model using customizable rules. You can optimize routing for cost or latency out of the box. #11 📝 PromptLayer Blog Best Prompt Management Platforms — Features, Comparisons, and Recommendations - Surveys the growing infrastructure gap as teams move from experimental prompting to production, and compares prompt management platforms to help teams manage variations across models, environments, and use cases. #12 𝕏 Harrison Chase launched LangSmith Engine, an agent that automates the optimization loop to iteratively improve your own AI agents. #13 𝕏 Peter Yang recommends using Anthropic’s open-source /frontend-design skill (github.com/anthropics/skills/tree/main/skills/frontend-design) and feeding that link to OpenAI Codex to reverse-engineer your front-end design. #14 𝕏 DeepLearning.AI shares Zora Z. Wang et al.’s study mapping AI agent benchmark tasks to US labor stats. The analysis reveals benchmarks skew heavily toward software development and overlook the diverse tasks most workers perform. #15 𝕏 Thariq shows how to leverage Claude Code for non-technical tasks by dropping a batch of files into a folder and instructing it to automatically write scripts and generate HTML. #16 𝕏 Dharmesh Shah calls “agent building” a high-value, high-leverage skill in growing demand, noting that as AI models and harnesses improve, its value rises because builders can tackle more business challenges. #17 𝕏 Santiago argues AI agents like Spoki are reshaping software so you no longer learn tools but simply tell them what you want. Spoki unifies marketing, sales, and customer care into one continuous conversational CRM across WhatsApp, SMS, and Voice AI. #18 📝 Simon Willison The pressure - Daniel Stenberg describes an unprecedented surge of high-quality, often AI-assisted security reports hitting the curl project, increasing workload and stress for maintainers. Despite the volume, most vulnerabilities found in recent years have been low or medium severity. #19 📝 Ampcode Chronicle Proof of Human - Amp now supports requiring an active passkey-authenticated “sudo” session for sensitive actions (for example, remote-controlling a thread) to protect accounts from attackers and to serve as proof-of-human for future features. You can enable this by turning on “Use Sudo” and setting up a passkey in settings, workspace admins can enforce it for members, and some privileged admin operations always require an active sudo session. #20 𝕏 Garry Tan says this is solvable by running a smoke-testing AI on any Mac, and reveals that GStack now supports real iOS device testing via a simple “/qa” command. #21 𝕏 Mustafa Suleyman reports that the model delivers robust visual reasoning across objects, scene structure, lighting, scale, and spatial relationships, turning simple directions into polished images. #22 𝕏 Philipp Schmid published a hands-on developer guide for Google Cloud’s Gemini Managed Agents, walking through agent provisioning and invocation via the google-genai Python SDK, JSON-based task definitions, and end-to-end orchestration of multi-step workflows. Found this valuable? Share it with another PM - they can subscribe at genaipm.com Unsubscribe • Switch to Weekly

“#15 𝕏 Lenny Rachitsky : Dan Shipper now does all his writing, research and email inside AI agents like Codex or Claude Code—using Google Docs, PostHog and other tools in the agent’s in-app browser for seamless, context-rich collaboration.”

#15 𝕏 Lenny Rachitsky : Dan Shipper now does all his writing, research and email inside AI agents like Codex or Claude Code—using Google Docs, PostHog and other tools in the agent’s in-app browser for seamless, context-rich collaboration.

“#2 ▶️ How the engineer behind Claude Cowork actually uses Claude | Felix Rieseberg (Anthropic) How I AI Podcast How the engineer behind Claude Cowork actually uses Claude | Felix Rieseberg (Anthropic) How I AI Podcast • May 25, 2026”

AI Updates Today #2 ▶️ How the engineer behind Claude Cowork actually uses Claude | Felix Rieseberg (Anthropic) How I AI Podcast • May 25, 2026 Summary not available in expected format. Key Takeaways: Unable to extract specific content from this video. Please refer to the original video for details. The AI was unable to structure the response correctly.

“Built on an open specification, these verified skills run reliably across Claude, OpenAI Codex, and Cursor.ai.”

#7 𝕏 NVIDIA AI shipped NVIDIA-Verified Agent Skills, offering transparent skill cards that detail each skill’s function, origin, risks, and integrity. Built on an open specification, these verified skills run reliably across Claude, OpenAI Codex, and Cursor.ai.

“Teresa Torres outlines how to build Claude-powered AI agents—defining identity, scheduler, tasks, and scripts—to automate prep work, follow-ups, and weekly reviews on custom schedules.”

#10 𝕏 Teresa Torres outlines how to build Claude-powered AI agents—defining identity, scheduler, tasks, and scripts—to automate prep work, follow-ups, and weekly reviews on custom schedules.

“claire vo 🖤 notes that Anthropic has locked down enterprises on Claude en masse, but warns vendor lock-in slows you from seeing the real frontier.”

#16 𝕏 claire vo 🖤 notes that Anthropic has locked down enterprises on Claude en masse, but warns vendor lock-in slows you from seeing the real frontier. Cutting-edge builders instead hop between OpenAI’s Codex, CoWork, and AI Studio to stay fast, flexible, and impactful. #10 𝕏 Teresa Torres outlines how to build Claude-powered AI agents—defining identity, scheduler, tasks, and scripts—to automate prep work, follow-ups, and weekly reviews on custom schedules.

“Claude launched self-hosted sandboxes (public beta) and MCP tunnels (research preview) in Claude Managed Agents, enabling teams to run agents inside their own security perimeter with controls applied by default.”

#5 𝕏 Claude launched self-hosted sandboxes (public beta) and MCP tunnels (research preview) in Claude Managed Agents, enabling teams to run agents inside their own security perimeter with controls applied by default.

“These updates aim to help teams run agent workloads in their own environments while maintaining management and orchestration via Claude.”

#5 📝 Claude Code Blog New in Claude Managed Agents: self-hosted sandboxes and MCP tunnels - Announcement introducing self-hosted sandboxes and MCP tunnels for Claude Managed Agents to enable more secure, private, and flexible deployments and connectivity. These updates aim to help teams run agent workloads in their own environments while maintaining management and orchestration via Claude.

“#1 𝕏 Peter Yang breaks down Anthropic’s build of the next Claude with Alex Albert: they co-design the model and harness, use Claude to cluster user feedback into synthetic evals, and train its character and personality.”

Today's top 10 insights for PM Builders from X and LinkedIn. #1 𝕏 Peter Yang breaks down Anthropic’s build of the next Claude with Alex Albert: they co-design the model and harness, use Claude to cluster user feedback into synthetic evals, and train its character and personality. #2 in Marc Baselga shares Sebastien Goddijn’s insight that Ramp’s AI adoption only drove real value after engineers built context files, MCPs, memory and workflows. Without this scaffolding, non-technical staff using Claude, ChatGPT or Cursor foot the hidden “setup tax.”