The Deep Feed

Everyone's building multi-agent systems, but nobody agrees on how. This talk proposes a taxonomy of five frontier multi-agent strategies and shows what happens when you compose them into a single architecture. Drawing from production data at Factory, we walk through a three-role system (orchestrator, workers, validators) that uses validation contracts, structured agent handoffs, and adversarial verification. We cover the case for serial over parallel execution, why model selection per role is a compounding advantage, and how to design systems that get better with each model generation instead of being made obsolete by them.

Speaker info: - https://github.com/lukealvoeiro - https://www.linkedin.com/in/lukealvoeiro

Timestamp: 0:00 Introduction to multi-agent systems and the bottleneck of human attention 1:50 Taxonomy of five frontier multi-agent frameworks 4:04 Introducing 'Missions': The three-role architecture (Orchestrator, Workers, Validators) 6:34 The importance of validation contracts for consistent quality 8:09 Maintaining long-term context through structured handoffs 9:17 The case for serial execution over parallel execution 10:30 Mission control: Monitoring agent progress 11:22 Strategic model selection per role ('Droid whispering') 13:06 Production data analysis: Building a Slack clone 14:34 Designing systems that improve with each model generation 15:51 Conclusion: The shifting economics of software engineering

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Everything that happens inside your computer from the instant you press the power button to the moment you rage quit and shut it down.

#coding #programming #computer #computerscience

🔖 Topics Covered - Bootloader - Privilege Ring - Virtual Memory - Filesystem - Drivers and Interrupts - Processes - Syscalls - Scheduler - Threads - IPC - Shutdown SIGKILL

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Chat interfaces are no longer limited to walls of text. In this talk, Liad Yosef and Ido Salomon explain how MCP Apps turn tools into interactive UI inside hosts like ChatGPT, Claude, VS Code, Cursor, and Copilot, letting companies send branded, functional app experiences instead of plain text responses.

The session covers the core architecture behind MCP Apps, how UI is passed over MCP, how interactions stay in context through the host, and why this changes how applications get distributed in an agent-first world. If you're building on MCP, this is a practical look at the emerging standard for UI inside chat.

Speaker info: - Nick Nisi | https://nicknisi.com/about/ - Zach Proser | https://zackproser.com/

Anthropic's been struggling to get compute lately, but it seems like they've finally solved it by buying compute from xAI?

Thank you Coderabbit for sponsoring! Check them out at: https://soydev.link/coderabbit

SOURCES: https://x.com/claudeai/status/2052060691893227611 https://www.anthropic.com/news/higher-limits-spacex https://x.com/nvidiaai/status/2052082412994383936?s=46

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S/O @Ph4seon3 for the awesome edit 🙏

What if the best way to get coding agents to use a library well is not better prompts, but giving them the library's actual code? In this workshop, Michael Arnaldi walks through a practical approach to building with Effect and LLMs by cloning the Effect repo into the project, extracting patterns directly from the source, and using those patterns to guide agent behavior.

Starting from an empty repository, the session shows how to set up an Effect-based app with tests, strict TypeScript diagnostics, agent instructions, and a simple HTTP API, while also exploring the broader problem of how to make agents effective in unfamiliar codebases. If you're building with coding agents and care about reliability, structure, and real-world Effect workflows, this is a useful hands-on framing.

Speaker info: - https://x.com/MichaelArnaldi - https://www.linkedin.com/in/michael-arnaldi-52858114a/