26:40
Skills are the New SDKs – Elvin Aghammadzada, DataRobot
Elvin Aghammadzada from DataRobot challenges a common assumption in agentic AI development: that larger context windows solve the too...
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14:13
Agent Output Is Not UX: Rendering Layer Your LLM Pipeline Is Missing – Bala Ramdoss, Amazon Lens
Bala Ramdoss, a decade-long builder of customer-facing apps at Amazon Lens, argues that most agentic AI products fail not because of...
27:33
Agentic Development Security — Ezra Tanzer, Snyk
Ezra Tanzer, Product Director at Snyk, argues at AI Engineer that the industry's initial frame for agentic security — securing the co...
23:29
Through the AI Fog: The Architectural Decision Agentic Security Depends On — Manoj Nair, Snyk
Manoj Nair, Chief Innovation Officer and CTO of Snyk, delivers one of the most data-grounded talks at the AI Engineer World's Fair se...
21:42
AI’s Jurassic Park Period — Aaron Stanley, dbt Labs
Aaron Stanley, CISO at dbt Labs and a member of the California Bar, uses Jurassic Park as a sustained metaphor to argue that AI agent...
23:02
It’s 10pm. Do You Know Where Your Agents Are? — Kim Maida, Keycard
Kim Maida from Keycard opens her AI Engineer talk with a live demo showing how a single overprivileged API key enables an incident ma...
15:53
Privacy-Preserving Intelligence — Steve Korshakov, Bee (acq. Amazon)
Steve Korshakov, co-founder of Bee AI (acquired by Amazon roughly eight months prior), describes the privacy-preserving architecture...
20:36
Your LLM Stack Is a 2008 Database With Better Marketing — Lovina Dmello, NVIDIA
Lavina D'Mello, a senior software developer on NVIDIA's deep learning infrastructure team, makes the case at AI Engineer that the mos...
37:45
Build Evals That Actually Matter – Nick Ung, Lyft
Nick Ung and Aka from Lyft's data science team present their end-to-end evaluation framework for production AI agents at the AI Engin...
16:57
From Tokens to Cells: Foundation Models for Single-Cell Biology – Akram Baharlouei, Altos Labs
In this AI Engineer conference talk, Akram Baharlouei, a machine learning engineer at Altos Labs, explores the engineering challenges...
12:50
You Didn’t Ship a Bug. You Just Wrote It for a Human. – Ravi Madabhushi, Scalekit
Ravi Madabhushi, co-founder of Scalekit, delivers a technical talk at AI Engineer examining how authentication and authorization syst...
22:46
From Blind Spots to Merged PRs: Continuous Agentic Performance Optimization – May Walter, Hud
Mike, co-founder and CTO of Thundra, presents at AI Engineer on an agentic workflow that automates continuous performance optimizatio...
35:59
The UX of AI: Making AI-Powered Apps Your Users Don’t Hate – Kathryn Grayson Nanz, Progress Software
Kathryn Grayson Nanz, senior design and developer advocate at Progress Software, delivers a talk at the AI Engineer conference on the...
19:23
Autonomous Agents for Scientific Tasks – Sina Shahandeh, Radicait
In this AI Engineer conference talk, Sina Shahandeh of Radicait examines why autonomous coding agents stall on open-ended scientific...
17:39
Stop Burning Tokens: Why self-improvement needs domain expertise first – Annabell Schäfer, Langfuse
Annabell Schäfer, growth engineer at Langfuse — the open-source AI observability and evaluation platform — presents a structured expe...
14:18
A Practitioner’s Guide to Graphs – Tim Ainge, Good Collective
Tim Ainge of The Good Collective delivers a practitioner-focused guide to graph data structures for AI application developers at the...