AE
AI Engineer
Episodes
- Your Insecure MCP Server Won't Survive Production — Tun Shwe, Lenses
- Let LLMs Wander: Engineering RL Environments — Stefano Fiorucci
- Bending a Public MCP Server Without Breaking It — Nimrod Hauser, Baz
- Agentic Engineering: Working With AI, Not Just Using It — Brendan O'Leary
- How METR measures Long Tasks and Experienced Open Source Dev Productivity - Joel Becker, METR
- Identity for AI Agents - Patrick Riley & Carlos Galan, Auth0
- OpenAI + @Temporalio : Building Durable, Production Ready Agents - Cornelia Davis, Temporal
- Your MCP Server is Bad (and you should feel bad) - Jeremiah Lowin, Prefect
- Spec-Driven Development: Agentic Coding at FAANG Scale and Quality — Al Harris, Amazon Kiro
- DSPy: The End of Prompt Engineering - Kevin Madura, AlixPartners
- Automating Large Scale Refactors with Parallel Agents - Robert Brennan, OpenHands
- Build a Prompt Learning Loop - SallyAnn DeLucia & Fuad Ali, Arize
- Building durable Agents with Workflow DevKit & AI SDK - Peter Wielander, Vercel
- Claude Agent SDK [Full Workshop] — Thariq Shihipar, Anthropic
- Welcome to AIE CODE - Jed Borovik, Google DeepMind
- Building Intelligent Research Agents with Manus - Ivan Leo, Manus AI (now Meta Superintelligence)
- Jack Morris: Stuffing Context is not Memory, Updating Weights is
- AGI: The Path Forward – Jason Warner & Eiso Kant, Poolside
- Shipping AI That Works: An Evaluation Framework for PMs – Aman Khan, Arize
- How Claude Code Works - Jared Zoneraich, PromptLayer