Agents Hour

OpenAI acquired TBPN — the daily tech news show — announced the day after April Fools. TBPN built an independent voice in tech media over eighteen months, and OpenAI saw that as worth buying. AI companies acquiring media is a new pattern.
Anthropic spent $400M on Coefficient Bio, a biotech startup building an AI drug R&D platform. OpenAI made a similar move last year — the race to own AI-powered healthcare is on.
Claude Code drama hit peak levels. Anthropic's DMCA nuked ~8,100 GitHub repos after last week's source code leak. Then Claude subscriptions stopped covering third-party tools like OpenClaw — with a $200 credit as a peace offering. The detection is just a string match on "OpenClaw" in the system prompt. And Claude Code now refuses to analyze its own source.
Anthropic published research on emotion concepts in LLMs — internal representations that drive Claude's behavior, like a "desperation" vector that activates when it fails repeatedly. Microsoft 365 connectors are shipped on every Claude plan.
Google dropped Gemma 4, claiming the most capable open models in the world. Gmail announced AI Inbox with smart prioritization for AI Ultra subscribers. Cursor 3 launched, rebuilt for agent-first workflows. Keith from Superset joined live — their users have shrunk Cursor usage from 90% to 10%.
CodeRabbit shipped autofix. Lovable launched a full-stack visual editor. Design mode is becoming table stakes across every platform.
Netflix dropped its first public model on HuggingFace — a video-to-video model. Arcee released Trinity-Large-Thinking under Apache 2.0.Rhys Sullivan wrote "The Execution Layer" — arguing that bash was the accidental first execution layer for agents and it's breaking down. His proposal: TypeScript. He built Executor to prove it. Theo backed it: agents are good at bash, bash is not good for agents.
Axios was compromised via social engineering — attackers cloned a founder's identity, set up a branded Slack, ran a fake Teams meeting, and got a publish token. Because Axios is so foundational, compromised downstream projects may not even know yet.
Quick hits: MemPalace claims 100% on LongMemEval, but got community-noted — scores use targeted fixes and reranking. Sarah Wooders argues memory is the harness, not a plugin. Braintrust shared why they built Brainstore for agent observability. Mintlify built a virtual filesystem instead of RAG.
🔗 LINKShttps://openai.com/index/openai-acquires-tbpn/https://x.com/pitdesi/status/2039858374154862645https://x.com/k1rallik/status/2039686500619534818https://x.com/bcherny/status/2040206440556826908https://x.com/steipete/status/2040811558427648357https://x.com/theo/status/2041016477047034012https://x.com/anthropicai/status/2039749628737019925https://x.com/claudeai/status/2040086268562842097https://x.com/OfficialLoganK/status/2039735606268314071https://x.com/gmail/status/2039107985281008078https://x.com/cursor_ai/status/2039768512894505086https://x.com/coderabbitai/status/2039727972555555009https://x.com/lovable/status/2039719647424258164https://x.com/fffiloni/status/2039992515604983994https://x.com/arcee_ai/status/2039369121591120030https://x.com/RhysSullivan/status/2030903539871154193https://executor.shhttps://x.com/flaviocopes/status/2039973060158095827https://github.com/milla-jovovich/mempalacehttps://x.com/sarahwooders/status/2040121230473457921https://x.com/ankrgyl/status/2041209003859136848https://x.com/densumesh/status/2039765361533637016
📚 MASTRA RESOURCEShttps://mastra.aihttps://x.com/mastra_aihttps://mastra.ai/community/discordhttps://github.com/mastra-aihttps://mastra.ai/coursehttps://mastra.ai/books/principles-of-building-ai-agentshttps://mastra.ai/books/patterns-of-building-ai-agents
WHAT IS MASTRA?
Mastra is an open-source TypeScript framework for building AI-powered applications and agents. It supports the full lifecycle from prototype to production with integrations for React, Next.js, and Node.
00:00 — Live from Victory Hall, San Francisco00:51 — OpenAI acquires TBPN05:11 — Anthropic acquires Coefficient Bio for $400M06:07 — Claude Code drama: DMCA takedowns, third-party blocks & string matching08:23 — Anthropic research: emotion concepts in LLMs09:05 — Claude gets Microsoft 365 connectors09:17 — Gemma 4: Google's open weight models10:20 — Gmail AI Inbox11:38 — Cursor 313:19 — CodeRabbit Autofix & Lovable visual editor15:13 — New models: Netflix, Arcee Trinity16:00 — The Execution Layer: Is bash the right tool for agents?17:34 — Axios compromised via social engineering19:02 — Quick hits: MemPalace, memory as harness, Brainstore, Mintlify

Shane and Abhi bring you your weekly roundup of AI news! Claude Code's entire source code leaked via an exposed .map file in npm — 512,000 lines of TypeScript, 50K GitHub stars before DMCAs started flying. What people found: Claude Code uses ~20 tools, and there's a regex that silently logs user frustration to analytics. Same week, a CMS misconfiguration exposed a draft blog post revealing Mythos and Capybara — a new model tier above Opus described as posing "unprecedented cybersecurity risks." Fortune separately confirmed a source saying Opus 5 is "so good it poses a danger."
Claude Code auto mode shipped — a classifier between constant interrupts and the skip-permissions flag. Computer use landed in Claude Code too, letting it open apps and click through UI from the CLI. Rate limits were tightened during peak hours to community backlash. A federal judge blocked the Pentagon's attempt to label Anthropic a supply chain risk.
A North Korea-linked group hijacked the npm account of Axios' lead maintainer and published malicious versions that stole env variables then cleaned up after themselves. With ~100M weekly downloads and Claude Code depending on Axios, the blast radius was significant. An Anthropic researcher also demoed Claude finding a zero-day in Ghost in 90 minutes. Agents are the new hackers, and the hackers have agents too.
OpenAI closed $122B at an $852B valuation. Sora is shutting down. Mistral raised $830M for an NVIDIA-powered EU data center. Redpoint's 2026 market update argues this isn't the dot-com bubble, while noting agent maturity is early, and incumbents face a structural disadvantage against AI-native startups.
Rapid fire: Gemini 3.1 Flash Live, Veo 3.1 Lite, pg-micro, Cloudflare runs Kimi K2.5, OpenCode remote sandboxes, Chroma 20B search agent, Cohere open-source transcription, Linear says issue tracking is dead, Microsoft M365 council mode, Mario Zechner's "Slow the fuck down," GLM-5.1, Google Translate live in headphones.
AI Agents Hour is a weekly livestream by Mastra CPO Shane Thomas and CTO Abhi Aiyer. Mondays 12PM Pacific.
📚 READ MOREClaude Code leak: https://x.com/fried_rice/status/2038894956459290963Frustration tracking: https://x.com/rahatcodes/status/2038995503141065145Axios attack: https://x.com/mvxvvll/status/2038797094861918332Claude zero-day: https://x.com/chiefofautism/status/2037951563931500669OpenAI $122B: https://x.com/sawyermerritt/status/2039073153922539901Sora shutdown: https://x.com/soraofficialapp/status/2036546752535470382Auto mode: https://x.com/claudeai/status/2036503582166393240Computer use in Code: https://x.com/claudeai/status/2038663014098899416Mythos/Capybara: https://x.com/testingcatalog/status/2037394888577216617Opus 5 danger: https://x.com/kimmonismus/status/2037461154088296748Rate limits: https://x.com/trq212/status/2037254607001559305Pentagon ruling: https://www.cnn.com/2026/03/26/business/anthropic-pentagon-injunction-supply-chain-riskMistral $830M: https://x.com/ft/status/2038531872272040374Redpoint market update: https://www.redpoint.com/reports/2026-market-update/Gemini 3.1 Flash Live: https://x.com/officiallogank/status/2037187750005240307pg-micro: https://x.com/glcst/status/2037254698898432278OpenCode sandboxes: https://x.com/jlongster/status/2036924361379037224Linear: https://x.com/linear/status/2036502198062821842
📚 MASTRA RESOURCESMastra: https://mastra.aiMastra on X: https://x.com/mastra_aiMastra Discord: https://mastra.ai/community/discordMastra GitHub: https://github.com/mastra-aiLearn Mastra in the world's first MCP-Based Course: https://mastra.ai/coursePrinciples of Building AI Agents (Book): https://mastra.ai/books/principles-of-building-ai-agentsPatterns for Building AI Agents (New Book): https://mastra.ai/books/patterns-of-building-ai-agents
MASTRA?Mastra is an open-source TypeScript framework designed for building and shipping AI-powered applications and agents with minimal friction. It supports the full lifecycle of agent development—from prototype to production. You can integrate it with frontend and backend stacks (e.g., React, Next.js, Node) or run agents as standalone services. If you're a JavaScript or TypeScript developer looking to build an agentic or AI-powered product without starting from first principles, Mastra provides the scaffolding, tools, and integrations to accelerate that process.
00:00 — Claude Code source code leaked 04:30 — Axios supply chain attack06:11 — Claude finds a zero-day in Ghost in 90 minutes06:50 — OpenAI closes $122B round at $852B valuation08:24 — Sora is shutting down11:03 — Anthropic ships: auto mode & computer use in Claude Code11:41 — Mythos & Capybara: Anthropic's next model tier leaked14:35 — Claude rate limits tightened during peak hours15:51 — Judge blocks Pentagon's supply chain risk label on Anthropic16:08 — Mistral $830M & Redpoint's 2026 AI market update20:45 — Rapid fire: Google, pg-micro, OpenCode, Chroma, Cohere & more

Shane and Abhi kick off with a viral quote: if your $500K engineer isn't burning $250K in tokens, something is wrong.
OpenAI is acquiring Astral — the team behind uv and Ruff — joining the Codex team. OpenAI bets on Python; Anthropic bet on TypeScript with Bun. Then Cursor drama: someone found Composer 2 is powered by Kimi K2.5, Kimi confirmed it, and raised another $1B at an $18B valuation — three rounds in 90 days.
Anthropic shipped Claude Code Channels (Telegram/Discord control), Cowork Dispatch (persistent agent, message from phone), and a deep dive on how they use Skills. Matt Pocock found quality drops past 100K on the 1M context window. And 52 million views on enabling Claude to use your computer — Mac only.
Stripe launched MPP for agent-to-agent payments. Better Auth launched the Agent Auth Protocol. Cloudflare shipped Dynamic Workers for AI-generated code in isolates. LangChain open-sourced Deep Agents, Composio shipped 30-parallel-agent orchestration, OpenCode lost its Claude Max plugin after Anthropic sent lawyers, and Netlify and Google Stitch entered vibe coding and design.
EsoLang-Bench: LLMs score 85–95% on standard benchmarks but collapse to 0–11% on esoteric languages — memorization, not reasoning. Quick hits: GPT-5.4 mini/nano, Minimax M2.7, Morph FlashCompact, AI CMO, Letta pivots to coding agents, GLM-OCR, LiteLLM supply chain attack.AI Agents Hour is a weekly livestream by Mastra CPO Shane Thomas and CTO Abhi Aiyer. Mondays 12PM Pacific.
📚 READ MORE$500K engineers: https://x.com/sundeep/status/2034829022082080846OpenAI acquires Astral: https://openai.com/index/openai-to-acquire-astral/Cursor Composer 2: https://x.com/cursor_ai/status/2034668943676244133Composer 2 is Kimi K2.5: https://x.com/fynnso/status/2034706304875602030Kimi confirms: https://x.com/kimi_moonshot/status/2035074972943831491Kimi raises $1B: https://x.com/CodeByPoonam/status/2034940587942846665Claude Code Channels: https://x.com/trq212/status/2034761016320696565Cowork Dispatch: https://x.com/felixrieseberg/status/2034005731457044577Anthropic Skills post: https://x.com/trq212/status/20339499379360853781M context quality: https://x.com/mattpocockuk/status/2034572011175907474Claude computer use: https://x.com/claudeai/status/2034991044109184388Stripe MPP: https://stripe.com/blog/machine-payments-protocolAgent Auth Protocol: https://github.com/better-auth/agent-auth-protocolCloudflare Dynamic Workers: https://x.com/CloudflareDev/status/2034510221044736342LangChain Deep Agents: https://x.com/hasantoxr/status/2033213054859792859Composio Orchestrator: https://x.com/hasantoxr/status/2033999352008741376OpenCode/Anthropic: https://x.com/thdxr/status/2034730036759339100Netlify: https://x.com/Netlify/status/2034303709832773711Google Stitch: https://stitch.withgoogle.comEsoLang-Bench: https://arxiv.org/abs/2603.09678GPT-5.4 mini: https://x.com/openai/status/2033953592424731072Morph FlashCompact: https://x.com/morphllm/status/2033968877345116200
📚 MASTRA RESOURCESMastra: https://mastra.aiMastra on X: https://x.com/mastra_aiMastra Discord: https://mastra.ai/community/discordMastra GitHub: https://github.com/mastra-aiLearn Mastra in the world's first MCP-Based Course: https://mastra.ai/coursePrinciples of Building AI Agents (Book): https://mastra.ai/books/principles-of-building-ai-agentsPatterns for Building AI Agents (New Book): https://mastra.ai/books/patterns-of-building-ai-agents
WHAT IS MASTRA?Mastra is an open-source TypeScript framework designed for building and shipping AI-powered applications and agents with minimal friction. It supports the full lifecycle of agent development—from prototype to production. You can integrate it with frontend and backend stacks (e.g., React, Next.js, Node) or run agents as standalone services. If you're a JavaScript or TypeScript developer looking to build an agentic or AI-powered product without starting from first principles, Mastra provides the scaffolding, tools, and integrations to accelerate that process.
00:00 — If your $500K engineer isn't burning $250K in tokens, something is wrong01:36 — OpenAI acquires Astral02:31 — Cursor's Composer 2 is secretly Kimi K2.505:35 — Kimi raises another $1B05:57 — Anthropic ships08:00 — Opus 4.6 1M context: quality drops noticeably past 100K tokens08:46 — Claude can now use your computer (Mac only)11:02 — Stripe's Machine Payments Protocol12:28 — Better Auth launches the Agent Auth Protocol13:12 — Cloudflare Dynamic Workers & the vibe coding platform wave14:08 — LangChain Deep Agents, Composio's 30-agent orchestrator & cloud coding agents17:00 — OpenCode removes the Claude Max plugin19:26 — Google Stitch & Netlify's prompt-to-project19:59 — LLMs aren't reasoning, they're memorizing21:09 — Quick hits: GPT-5.4 mini, Minimax M2.7, Morph FlashCompact, AI CMO23:55 — Letta goes all-in on coding agents, GLM-OCR24:46 — LiteLLM supply chain attack

Brett Goldstein and Naveen Sreekandan from Micro join Shane and Abhi to talk about why they believe the future of productivity looks completely different from what we have today.
Micro is an all-in-one productivity platform: email client, CRM, calendar, tasks, docs, meeting notes, and a powerful AI agent,  all built on a unified graph where every object (like emails, people, companies, meetings, documents) is interconnected.
The thesis is simple but bold: email isn't just a list of messages to get through. It's the world's most-used CRM, travel app, hiring tool, and developer notification system.
Micro restructures that data so each use case actually feels like the right tool for the job — your sales pipeline as a Kanban board, your GitHub notifications as a task board, your contacts fully enriched from every email and meeting you've ever had.
Brett walks us through the demo: the daily orchestrator automation that audits itself, updates its own prompt, generates your day plan, and has even prepped talking points for this interview. Context docs let the agent know everything it needs. The CRM auto-fills and auto-updates from emails and meeting notes. The X integration lets the agent pull recent posts from anyone you're about to meet.
Naveen covers the architecture: built on Mastra, using agent and workflow primitives on top of a graph-based data model backed by Postgres with a custom query layer called Prism. One main agent with dynamic context injection handles both chat and automations — the agent knows whether it's in automation mode (just give the output) or chat mode (ask follow-up questions). Supermemory powers vector search. Dedicated sub-agents handle specific workflows, such as email labeling and meeting note summarization. 
🔗 Brett Goldstein on X: https://x.com/thatguybg🔗 Naveen's website: https://naveen.works🔗 Micro on X: https://x.com/microHQ🔗 Micro: https://micro.so
📚 MASTRA RESOURCESMastra: https://mastra.aiMastra on X: https://x.com/mastra_aiMastra Discord: https://mastra.ai/community/discordMastra GitHub: https://github.com/mastra-aiLearn Mastra in the world's first MCP-Based Course: https://mastra.ai/coursePrinciples of Building AI Agents (Book): https://mastra.ai/books/principles-of-building-ai-agentsPatterns for Building AI Agents (New Book): https://mastra.ai/books/patterns-of-building-ai-agents
MASTRA?Mastra is an open-source TypeScript framework designed for building and shipping AI-powered applications and agents with minimal friction. It supports the full lifecycle of agent development—from prototype to production. You can integrate it with frontend and backend stacks (e.g., React, Next.js, Node) or run agents as standalone services. If you’re a JavaScript or TypeScript developer looking to build an agentic or AI-powered product without starting from first principles, Mastra provides the scaffolding, tools, and integrations to accelerate that process.
00:00 — What is Micro? The all-in-one tool that organizes itself02:20 — Why productivity tools keep failing (and why we gaslight ourselves about it)03:08 — Email is a super app06:05 — Demo: the Micro interface, inbox, calendar & meeting notes06:47 — Demo: autofill, status, and company profiles07:56 — Demo: the daily orchestrator automation and what it prepared for this show11:37 — Demo: the CRM12:22 — Context docs13:34 — Architecture: how Mastra, Postgres & Prism power the graph15:04 — Background workflows15:50 — One agent or many?17:07 — Memory deep dive: graph profiles, RAG & Supermemory18:28 — Compaction, Mastra v1 & observational memory19:40 — How to try Micro

Mastra Studio started as a local playground for developers to test agents and workflows without having to spin up a custom UI. But as the feature set grew, teams started asking: how do we share this with non-technical teammates? How do we control what different users can do?
Ryan, an engineer at Mastra, walks through the new Mastra Studio Auth — now baked directly into Studio. Starting with simple token-based auth (two lines of config), you can lock down your Studio from the open internet. From there, RBAC lets you map roles to granular permissions — 80 auto-generated permissions derived directly from Studio's routes and handlers, controllable via wildcard patterns. Out-of-the-box providers include WorkOS, Auth0, Supabase, Firebase, and Clerk, with GitHub and others in open PRs.
The team also discusses what's coming next: audit logs so you can see exactly what an agent did, why it accessed a given tool, and whether it should have. Auth for agents in production isn't magic — your tool files still need to check permissions — but Mastra handles the plumbing so you can focus on building securely.
Read more: https://mastra.ai/blog/announcing-studio-auth
AI Agents Hour is a weekly livestream hosted by Mastra CPO Shane Thomas and CTO Abhi Aiyer. Airing Mondays at 12PM Pacific on YouTube and X, the show covers breaking AI news, agent development techniques, and features interviews with industry experts building AI applications today.
📚 MASTRA RESOURCESMastra: https://mastra.aiMastra on X: https://x.com/mastra_aiMastra Discord: https://mastra.ai/community/discordMastra GitHub: https://github.com/mastra-aiLearn Mastra in the world's first MCP-Based Course: https://mastra.ai/coursePrinciples of Building AI Agents (Book): https://mastra.ai/books/principles-of-building-ai-agentsPatterns for Building AI Agents (New Book): https://mastra.ai/books/patterns-of-building-ai-agents
MASTRA?Mastra is an open-source TypeScript framework designed for building and shipping AI-powered applications and agents with minimal friction. It supports the full lifecycle of agent development—from prototype to production. You can integrate it with frontend and backend stacks (e.g., React, Next.js, Node) or run agents as standalone services. If you’re a JavaScript or TypeScript developer looking to build an agentic or AI-powered product without starting from first principles, Mastra provides the scaffolding, tools, and integrations to accelerate that process.
📌 CHAPTERS00:00 — Why Mastra Studio needed auth01:22 — Token-based auth: the simplest setup02:32 — RBAC: roles, permissions & wildcards05:00 — Auth for agents vs auth for humans06:41 — Think securely!07:22 — Supported providers & what's coming next

Shane hosts this week's news from his usual studio while Abhi joins remotely from NVIDIA GTC 2026 in San Jose. Jensen Huang's keynote set the tone: NVIDIA is doubling down on AI factories, pushing 100x more token throughput, and helping bring OpenAI onto AWS infrastructure.
RentAHuman is a startup that lets AI agents hire humans for physical tasks they can't do themselves. 
Perplexity's CTO said internally they're moving away from MCPs toward APIs and CLIs, but Chrome 146 shipping native MCP support may have undercut that argument immediately.
Anthropic had a strong week: 1M context window is now GA for Opus 4.6 and Sonnet 4.6 with no beta header required, Opus 4.6 1M is now the default model for Claude Code on Max/Team/Enterprise with no long context price premium, and the new /btw command lets you have side conversations while Claude is working.
Vercel and Cloudflare reignited their ongoing drama over the just-bash fork.
Ramp launched credit cards for agents and Perplexity announced Personal Computer, an always-on local agent running on a Mac mini.
Developer stack coverage includes Resend's open-source CLI with 53 commands, pnpm 11's git worktrees support for multi-agent monorepos, and OpenAI pushing a full computer environment behind the Responses API.
Deeper reads from Sunil Pai on generative UI post-WIMP interfaces, Elliot Arledge on the RL environment business, and Jay Scambler's Autocontext harness.
Quick hits: Replit Agent 4, Manus Desktop, NemoClaw from NVIDIA, llmock by CopilotKit, ContextKing raising to kill vector DBs, Google Maps getting Gemini, and Z.ai's GLM-5-Turbo optimized for Claude Code.
AI Agents Hour is a weekly livestream hosted by Mastra CPO Shane Thomas and CTO Abhi Aiyer. Airing Mondays at 12PM Pacific on YouTube and X.
📚 READ MORERentAHumanhttps://x.com/polymarket/status/2032470045217939723Perplexity CTO moving away from MCPshttps://x.com/morganlinton/status/2031795683897077965Chrome 146 native MCP supporthttps://x.com/xpasky/status/2032252486145253865Claude 1M context window GAhttps://x.com/claudeai/status/2032509548297343196Opus 4.6 1M default for Claude Codehttps://x.com/alexalbert__/status/2032522722551689363Claude Code /btw commandhttps://x.com/trq212/status/2031506296697131352Vercel CTO on just-bash forkhttps://x.com/cramforce/status/2033285112478171373Guillermo Rauch on Cloudflarehttps://x.com/rauchg/status/2033291143715455458Ramp Agent Cardshttps://x.com/i/trending/2031832827063648342Perplexity Personal Computerhttps://x.com/perplexity_ai/status/2031790180521427166Resend CLIhttps://x.com/zenorocha/status/2032459310341800314pnpm 11 git worktreeshttps://pnpm.io/11.x/git-worktreesOpenAI Responses API computer environmenthttps://openai.com/index/equip-responses-api-computer-environment/Sunil Pai — After WIMPhttps://sunilpai.dev/posts/after-wimp/Elliot Arledge — The RL Environment Businesshttps://x.com/elliotarledge/status/2032753593535574433Autocontext — Jay Scamblerhttps://x.com/JayScambler/status/2032508829959868690Kimi Attention Residualshttps://x.com/Kimi_Moonshot/status/2033378587878072424Replit Agent 4https://x.com/amasad/status/2031755113694679094Manus Desktophttps://x.com/ManusAI/status/2033558672152854712NemoClaw — NVIDIAhttps://nemoclaw.sollmock by CopilotKithttps://llmock.copilotkit.devContextKing — killing vector DBshttps://x.com/contextkingceo/status/2032098309029220456Google Maps biggest upgradehttps://x.com/google/status/2032079594191261938Z.ai GLM-5-Turbohttps://x.com/Zai_org/status/2033221428640674015
📚 MASTRA RESOURCESMastra: https://mastra.aiMastra on X: https://x.com/mastra_aiMastra Discord: https://mastra.ai/community/discordMastra GitHub: https://github.com/mastra-aiLearn Mastra in the world's first MCP-Based Course: https://mastra.ai/coursePrinciples of Building AI Agents (Book): https://mastra.ai/books/principles-of-building-ai-agentsPatterns for Building AI Agents (New Book): https://mastra.ai/books/patterns-of-building-ai-agents
MASTRA?Mastra is an open-source TypeScript framework designed for building and shipping AI-powered applications and agents with minimal friction. It supports the full lifecycle of agent development—from prototype to production. You can integrate it with frontend and backend stacks (e.g., React, Next.js, Node) or run agents as standalone services. If you’re a JavaScript or TypeScript developer looking to build an agentic or AI-powered product without starting from first principles, Mastra provides the scaffolding, tools, and integrations to accelerate that process.
00:00 — NVIDIA GTC 202604:16 — RentAHuman07:56 — Is MCP dead?13:08 — Anthropic ships14:59 — Vercel vs Cloudflare: the just-bash fork drama18:59 — Ramp Agent Cards & Perplexity Personal Computer20:52 — Resend CLI, pnpm worktrees, OpenAI Responses API23:04 — Developer insights

A lot happened in eight days. 
Meta acquired Moltbook, a social network built entirely for AI agents, not humans. 
OpenAI dropped GPT-5.4 Thinking and GPT-5.4 Pro, Codex got forks for multi-agent workflows and Windows support, and there are rumblings of OpenAI building a GitHub alternative. Anthropic fired back hard — multi-agent PR code review for Claude Code, while loops via /loop, the Claude Marketplace, and a way to pull your context from other AI tools. Plus: voice mode for CLI coding is apparently real, and people are using it.
This episode also covers the explosion of coding agents: Theo's T3 Code, OpenAI's Symphony orchestration layer, OpenCode workspaces, and swyx's thesis that this is the Year of the Subagent.
Donald Knuth is making headlines for being impressed by Opus 4.6, solving a long-standing math conjecture.  TypeScript is overtaking Python and JavaScript on GitHub. Gemini 3.1 Flash-Lite drops. AMI raises $1B. 
OpenClaw is getting government-backed adoption in China. Stanford's paper on RAG breaking at 10K documents, Karpathy's autoresearch project, Justin Poehnelt on why your CLI needs to be rewritten for agents. Plus: Raycast Glaze, Google Workspace CLI, Copilot Cowork, Exa Deep, Expo Agent, and a discussion on whether humans should be reviewing code at all.
AI Agents Hour is a weekly livestream hosted by Mastra CPO Shane Thomas and CTO Abhi Aiyer. Airing Mondays at 12PM Pacific on YouTube and X, the show covers breaking AI news, agent development techniques, and features interviews with industry experts building AI applications today.
📚 MASTRA RESOURCESMastra: https://mastra.aiMastra on X: https://x.com/mastra_aiMastra Discord: https://mastra.ai/community/discordMastra GitHub: https://github.com/mastra-aiLearn Mastra in the world's first MCP-Based Course: https://mastra.ai/coursePrinciples of Building AI Agents (Book): https://mastra.ai/books/principles-of-building-ai-agentsPatterns for Building AI Agents (New Book): https://mastra.ai/books/patterns-of-building-ai-agents
MASTRA?Mastra is an open-source TypeScript framework designed for building and shipping AI-powered applications and agents with minimal friction. It supports the full lifecycle of agent development—from prototype to production. You can integrate it with frontend and backend stacks (e.g., React, Next.js, Node) or run agents as standalone services. If you’re a JavaScript or TypeScript developer looking to build an agentic or AI-powered product without starting from first principles, Mastra provides the scaffolding, tools, and integrations to accelerate that process.
CHAPTERS00:00 — Meta acquires Moltbook01:41 — OpenAI updates05:47 — Claude fights back:09:05 — The coding agent explosion11:28 — Donald Knuth12:15 — TypeScript #1 on GitHub13:05 — AI products and platforms 15:02 — Model releases and fuding15:50 —OpenClaw goes mainstream in China16:43 — Developer insights: RAG collapse, Karpathy's autoresearch & rewriting CLIs for agents20:29 — Quick hits & is it time to kill the code review?

Ismail Pelaseyed from Superagent is back on Agents Hour, and this time he's talking about something most builders aren't thinking about yet — supply chain attacks on AI agents. Guardrails protect against what you tell your agent to do. But what about everything your agent reads, fetches, and installs on its own? That's the gap Brin is built to fill.
Brin is a free, open-source credit score for agent context. Before your agent acts on an external package, MCP server, skill, or web page, Brin scores it — identity, behavior, and content — and returns a verdict in under 10ms. No signup, no auth, one GET request.
Ismail walks through how supply chain attacks actually work in production, the three-tier scoring model behind Brin, how the Cline NPM incident illustrates exactly this problem, and why securing the context — not the agent — is the right mental model.
AI Agents Hour is a weekly livestream hosted by Mastra CPO Shane Thomas and CTO Abhi Aiyer. Airing Mondays at 12PM Pacific on YouTube and X, the show covers breaking AI news, agent development techniques, and features interviews with industry experts building AI applications today.
🔗 CHECK OUT BRIN Brin: https://brin.sh/Brin docs: https://brin.sh/docsBrin GitHub: https://github.com/superagent-ai/brinSuperagent: https://superagent.shSuperagent on X: https://x.com/superagent_aihttps://x.com/pelaseyed
📚 MASTRA RESOURCESMastra: https://mastra.aiMastra on X: https://x.com/mastra_aiMastra Discord: https://mastra.ai/community/discordMastra GitHub: https://github.com/mastra-aiLearn Mastra in the world's first MCP-Based Course: https://mastra.ai/coursePrinciples of Building AI Agents (Book): https://mastra.ai/books/principles-of-building-ai-agentsPatterns for Building AI Agents (New Book): https://mastra.ai/books/patterns-of-building-ai-agents
MASTRA?Mastra is an open-source TypeScript framework designed for building and shipping AI-powered applications and agents with minimal friction. It supports the full lifecycle of agent development—from prototype to production. You can integrate it with frontend and backend stacks (e.g., React, Next.js, Node) or run agents as standalone services. If you’re a JavaScript or TypeScript developer looking to build an agentic or AI-powered product without starting from first principles, Mastra provides the scaffolding, tools, and integrations to accelerate that process.
00:00 — From guardrails to supply chain attacks03:32 — Introducing Brin: a credit score for agent context05:14 — How to integrate Brin into your agent07:17 — The three-tier scoring model10:50 — What's next for agent security

This week in AI saw geopolitical turmoil, major funding news, and a shift in software development. Missile strikes in the UAE and Bahrain disrupted AWS and Claude services. Meanwhile, after Anthropic banned its models from autonomous weapons and mass surveillance, the Trump administration banned Anthropic from government contracts—posing a major supply chain risk. On the same day, Sam Altman secured a deal with the Department of War as OpenAI announced a $110 billion funding round, highlighting a sharp contrast in approaches.
AI coding is evolving rapidly. Andrej Karpathy noted that coding agents, ineffective before December, now work well with improved quality and coherence. Yet, perfect accuracy remains elusive. New tools emerged: Cursor demos code, Linear markets itself as an AI coding assistant, and Perplexity Computer offers an all-in-one system for managing AI projects. Smaller models like Qwen 3.5 grow faster and more efficient for edge use. Other highlights include Anthropic acquiring Vercept AI, Claude's remote coding controls, and Stanford confirming major AI firms use user conversations to train models.
AI Agents Hour is a weekly livestream hosted by Mastra CPO Shane Thomas and CTO Abhi Aiyer. Airing Mondays at 12PM Pacific on YouTube and X, the show covers breaking AI news, agent development techniques, and features interviews with industry experts building AI applications today.
📚 MASTRA RESOURCESMastra: https://mastra.aiLearn Mastra in the world's first MCP-Based Course: https://mastra.ai/coursePrinciples of Building AI Agents (Book): https://mastra.ai/bookPatterns for Building AI Agents (New Book): https://mastra.ai/blog/patterns-book https://docs.google.com/forms/d/e/1FAIpQLSduJjc515f6RZJqtkR2ByqJZrB0iP8B7SUKnjjZE9IajH_I8w/viewform
MASTRA?Mastra is an open-source TypeScript framework designed for building and shipping AI-powered applications and agents with minimal friction. It supports the full lifecycle of agent development—from prototype to production. You can integrate it with frontend and backend stacks (e.g., React, Next.js, Node) or run agents as standalone services. If you’re a JavaScript or TypeScript developer looking to build an agentic or AI-powered product without starting from first principles, Mastra provides the scaffolding, tools, and integrations to accelerate that process.
CHAPTERS
00:00 – Intro00:25 – AWS Data Center Strikes & Claude Outages01:20 – Anthropic Ban05:30 – Sam Altman's Government Deal10:05 – Cloudflare/Vercel Drama & NPM Namespaces11:09 – Block Cuts 40% of Staff (4,000 People)12:30 – AI & Job Market: Fear vs Reality18:27 – OpenAI Raises $110B, Codex Growth18:52 – Claude Releases: Vercept Acquisition, Remote Control, Auto Memory20:13 – State of AI Coding 26:10 – AI Products and Platforms28:42 – Open Source Models31:30 – Quick Hits & GitHub Star Party

Yujohn from Mastra explains why datasets and experiments are essential for building production-grade AI agents.
If you're building an agent, you need a way to verify it's working correctly before and after you make changes. Datasets provide that baseline. You create a collection of test cases (ground truth) that represent the scenarios your agent should handle. Then you run experiments: pass each test case through your agent and measure the results. This is error analysis in practice. You start by identifying where your agent fails, then build scorers to quantify those failure modes over time. Smaller teams often ship first and add datasets later, once they have user feedback. Larger teams need them earlier. But eventually, every production agent needs this.
The demo shows how Mastra makes this accessible. You can create datasets through the UI, add items manually or import from CSV, and run experiments with a single click. The results show you exactly what went wrong: which tool calls failed, what the agent output was, and how it compared to ground truth. You can also compare experiments side by side to see if your prompt tweaks actually improved things. And because all the data lives in your own database, you can write your own agents to analyze the results, dig into traces, and iterate. The SDK makes it easy to integrate into CI/CD: run experiments on pull requests, gate deployments on eval scores, or just collect data from production and curate datasets later.
🔗 RESOURCESMastra Datasets docs: https://mastra.ai/docs/observability/datasetsRunning Experiments: https://mastra.ai/docs/observability/datasets/running-experimentsMastra GitHub: https://github.com/mastra-ai/mastraYujohn on X: https://x.com/YujohnNattMastra Discord: https://discord.gg/mastra
AI Agents Hour is a weekly livestream hosted by Mastra CPO Shane Thomas and CTO Abhi Aiyer. Airing Mondays at 12PM Pacific on YouTube and X, the show covers breaking AI news, agent development techniques, and features interviews with industry experts building AI applications today.
📚 MASTRA RESOURCESMastra: https://mastra.aiLearn Mastra in the world's first MCP-Based Course: https://mastra.ai/coursePrinciples of Building AI Agents (Book): https://mastra.ai/bookPatterns for Building AI Agents (New Book): https://mastra.ai/books/patterns-of-building-ai-agents
MASTRA?Mastra is an open-source TypeScript framework designed for building and shipping AI-powered applications and agents with minimal friction. It supports the full lifecycle of agent development—from prototype to production. You can integrate it with frontend and backend stacks (e.g., React, Next.js, Node) or run agents as standalone services. If you’re a JavaScript or TypeScript developer looking to build an agentic or AI-powered product without starting from first principles, Mastra provides the scaffolding, tools, and integrations to accelerate that process.
00:00 – Intro00:48 – What are Datasets and Experiments01:55 – Error Analysis03:35 – When to Use Datasets (Team Size Matters )05:43 – Demo: Creating a Dataset07:04 – Demo: Ground Truth07:53 – Demo: Running Experiments09:34 – Demo: Comparing Results11:00 – Your Data, Your Database12:24 – SDK & CI Integration14:30 – Collecting Data from Production