AI Engineer World's Fair 202655:19
Stop AI Agent Hallucinations: 5 Techniques + Production Patterns - Elizabeth Fuentes Leone, AWS
Elizabeth Fuentes Leone
APIs, MCP, and protocols · Architecture · Finance
← Featured AI Engineer talks
The talk archive.
1,011 published talks.
AI Engineer Europe 202618:54
Stop babysitting your agents: building a context engine for mergeable code
Brandon Waselnuk
Other / unclassified · Coding and developer tools · APIs, MCP, and protocols
AI Engineer World's Fair 202617:39
Stop Burning Tokens: Why self-improvement needs domain expertise first - Annabell Schäfer, Langfuse
Annabell Schäfer
RAG, context, and search · Agent engineering
AI Engineer World's Fair 202623:35
Stop Evaluating Models Like It's the 50s - Alejandro Vidal, Mindmakers
Alejandro Vidal
Observability and reliability · Evals · Other / unclassified
AI Engineer Summit 202510:16
Stop Guessing: Build Robust AI with Layered CoT
Manish Sanwal
Coding and developer tools · Other / unclassified · Evals
AI Engineer Europe 202620:56
Stop Making Models Bigger, Make Them Behave — Kobie Crawford, Snorkel
Kobie Crawford
Data and model adaptation · Evals · Reasoning and models
AI Engineer World's Fair 202510:45
Stop Ordering AI Takeout: A Cookbook for Winning When You Build In-House
Jan Siml
Reasoning and models · Other / unclassified · Infrastructure and deployment
AI Engineer World's Fair 20267:52
Stop Renting Your Cognitive Infrastructure
Thiyagarajan Maruthavanan
Infrastructure and deployment · RAG, context, and search
AI Engineer World's Fair 20257:02
Stop Using RAG as Memory
Daniel Chalef
RAG, context, and search · Finance · Coding and developer tools
AI Engineer World's Fair 202620:57
Stop Writing Tone Instructions. Layer Them.
Isadora Martin-Dye
RAG, context, and search · Other / unclassified · Speech and audio
AI Engineer Summit 20237:30
Storyteller: Building Multi-modal Apps with TS & ModelFusion - Lars Grammel, PhD
Lars Grammel
Architecture · Infrastructure and deployment · Coding and developer tools
AI Engineer World's Fair 202532:28
Strategies for LLM Evals (GuideLLM, lm-eval-harness, OpenAI Evals Workshop) — Taylor Jordan Smith
Taylor Jordan Smith
RAG, context, and search · Evals · Safety and governance
AI Engineer World's Fair 202517:40
Structuring a modern AI team
Denys Linkov
Leadership · Reasoning and models
AI Engineer World's Fair 202620:41
Structuring the Unstructured: Advanced Document Parsing for AI Workflows
Cedric Clyburn
RAG, context, and search · Vision and video
AI Engineer Code 20251:02:44
Stuffing Context is not Memory, Updating Weights is
Jack Morris
Data and model adaptation · RAG, context, and search · Enterprise
AI Engineer World's Fair 20245:20
Substrate Launch: the API for modular AI
Rob Cheung
APIs, MCP, and protocols · Infrastructure and deployment · RAG, context, and search
AI Engineer Summit 202316:05
Supabase Vector: The Postgres Vector database
Paul Copplestone
RAG, context, and search · Leadership
AI Engineer World's Fair 202513:22
Supercharging Developer Workflow with Amazon Q Developer
Vikash Agrawal · Linda
Evals · APIs, MCP, and protocols · Coding and developer tools
AI Engineer World's Fair 202514:10
Survive the AI Knife-Fight: Building Products That Win
Brian Balfour
Enterprise · Agent engineering
AI Engineer World's Fair 202612:58
SWE-Marathon: Evaluating Coding Agents at Billion-Token Scale - Rishi Desai, Abundant AI
Rishi Desai
Evals · Coding and developer tools
AI Engineer Europe 202616:30
SWE-rebench: Lessons from Evaluating Coding Agents on Real Software Engineering Tasks — Ibragim Badertdinov, Nebius
Ibragim Badertdinov
Agent engineering · Coding and developer tools
AI Engineer World's Fair 202619:50
Taking Reinforcement Learning Cross Datacenter
Nan Jiang
Architecture · Infrastructure and deployment · Data and model adaptation
AI Engineer World's Fair 202516:15
Taming Rogue AI Agents with Observability-Driven Evaluation
Jim Bennett
Industry applications · Evals · RAG, context, and search
AI Engineer Europe 202620:40
Task Fidelity Scaling Laws — Kobie Crawford, Snorkel AI
Kobie Crawford
Reasoning and models · Evals · RAG, context, and search
AI Engineer Europe 202629:17
Taste & Craft: A Conversation with Tuomas Artman, CTO of Linear, and Gergely Orosz of The Pragmatic Engineer
Tuomas Artman · Gergely Orosz
Developer workflows and testing · Coding and developer tools · Enterprise
AI Engineer World's Fair 202627:17
Teaching AI to Find Real Vulnerabilities — Prof. David Brumley, Bugcrowd
David Brumley
Enterprise · Safety and governance
AI Engineer Europe 202619:09
Teaching Coding Agents to do Spreadsheets
Nuno Campos
Agent engineering · Finance · Developer workflows and testing
AI Engineer World's Fair 202522:51
Teaching Gemini to Speak YouTube: Adapting LLMs for Video Recommendations to 2B+ DAU
Devansh Tandon
RAG, context, and search
AI Engineer Europe 202628:03
Text Diffusion — Brendan O'Donoghue, Google DeepMind
Brendan O'Donoghue
Evals · Data and model adaptation · Reasoning and models
AI Engineer World's Fair 202534:00
Text-to-Speech Data Preparation and Fine-tuning Workshop - Ronan McGovern
Ronan McGovern
Speech and audio · Architecture
AI Engineer Summit 20239:27
The 1,000x AI Engineer: Swyx
swyx
Infrastructure and deployment · APIs, MCP, and protocols · Coding and developer tools
AI Engineer World's Fair 202628:27
The 100-Tool Agent Is a Trap: Scaling with Semantic Routers and JIT Context
Sohail Shaikh · Ankush Rastogi
RAG, context, and search · APIs, MCP, and protocols · Infrastructure and deployment
AI Engineer World's Fair 202512:33
The 2025 AI Engineering Report — Barr Yaron, Amplify Partners
Barr Yaron
Other / unclassified · Observability and reliability · Leadership
AI Engineer World's Fair 202619:47
The 2026 State of AI Engineering — Barr Yaron, Amplify Partners
Barr Yaron
Other / unclassified · Safety and governance · Observability and reliability
AI Engineer Code 202524:42
The 3 Pillars of Autonomy – Michele Catasta, Replit
Michele Catasta
Architecture · Coding and developer tools · Developer workflows and testing
AI Engineer World's Fair 202514:11
The 4 Patterns of AI Native Development
Patrick Debois
APIs, MCP, and protocols · Coding and developer tools · Leadership