AI Engineer World's Fair 202647:37
Hiring Employable Agents + Startup Battlefield Finals — Howie Liu, HyperAgent
Howie Liu · Shawn "swyx" Wang · Joshua Xu
Agent engineering · Workflow automation · Agent orchestration
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AI Engineer topic
Product engineering
22 AI Engineer conference talks about Product engineering.
AI Engineer NYC 2026 Online Talks6:28
What Technical Due Diligence Finds When the Deck Says “70% Automated” — Soukaïna Abelhad
Soukaïna Abelhad
Product engineering · AI engineering leadership · Developer productivity
AI Engineer World's Fair 202655:43
Build with Perception Agents — Emile Baizel & Shruti Arora, Amazon AGI Lab
Emile Baizel · Shruti Arora
Computer use · Coding agents · Product engineering
AI Engineer World's Fair 202619:17
Stop Renting Intelligence: The Train-to-Deploy Loop for Specialized AI — Fireworks AI
Jetashree Ravi
Open-weight models · Fine-tuning · Infrastructure & deployment
AI Engineer World's Fair 202619:44
The Signal Layer: What to Build When Anything Can Be Built — Lena Hall, Akamai
Lena Hall
Product engineering · AI in sales & marketing
AI Engineer NYC 2026 Online Talks36:11
I Spent Two Years Building the Median — Hariprasad Sudharshan
Hariprasad Sudharshan
Product engineering · Coding agents · Harness engineering
AI Engineer World's Fair 202627:28
Building AI Agents with Real-Time Web Data — Yohan Raju, Bright Data
Yohan Raju
Agent engineering · Data quality & curation · MCP
AI Engineer World's Fair 202617:44
Why 80% Reliability Isn't Good Enough — Felipe Blanes, Amazon AGI Lab
Felipe Blanes
Evals · Product engineering · Observability & reliability
52:09
Build the Right Thing: Product Engineering (Part 2) — Kent C. Dodds, EpicProduct.engineer
Kent C. Dodds
Product engineering · AI interface design · Infrastructure & deployment
AI Engineer World's Fair 202617:06
The Self-Improving OSS Agent Stack — Marc Klingen, Langfuse
Marc Klingen
Agent engineering · Observability & reliability · Evals
AI Engineer World's Fair 202626:10
How Anthropic Builds: Lessons from Labs — Mike Krieger, Anthropic
Mike Krieger
Coding agents · AI engineering leadership · Product engineering
21:05
The 6 Pillars of an Agentic Harness for Production — Varun Krovvidi, Resolve AI
Varun Krovvidi
Agent engineering · Software factories · Observability & reliability
AI Engineer NYC 2026 Online Talks13:21
Please… Enough with the Sloppy, One-Shot SaaS Replacements — Mahmoud Abdelwahab, Railway
Mahmoud Abdelwahab
Coding agents · Product engineering · Infrastructure & deployment
AI Engineer World's Fair 202629:28
Parsing the Epstein Files for JMail — Palak Agarwal & Omar Alhait, Reducto
Palak Agarwal · Omar Alhait
Document understanding & OCR · Privacy & data governance · Data quality & curation
20:36
Software Engineering Is Becoming Factory Engineering — Zach Lloyd, Warp
Zach Lloyd
Software factories · Open-source ecosystems · Product engineering
AI Engineer World's Fair 202658:42
Building AIE: Open Q&A and Feedback Session with swyx
Shawn "swyx" Wang
AI engineering leadership · Product engineering · Safety & governance
AI Engineer World's Fair 202616:18
We Built an AI Support Agent That Resolves 80% of Tickets — AssemblyAI
Matt Lawler
Agent engineering · Retrieval-augmented generation · Infrastructure & deployment
55:19
Build the Right Thing: Product Engineering (Part 1) — Kent C. Dodds, EpicProduct.engineer
Kent C. Dodds
Product engineering · AI engineering leadership · Coding agents
AI Engineer World's Fair 202644:22
Continuously Improving Agents with Langfuse — Annabell Schäfer & Lotte Verheyden, ClickHouse
Lotte Verheyden · Annabell Schäfer
Agent engineering · Observability & reliability · Evals
15:08
Everyone Gets A Software Company — Benjamin Guo, Zo Computer
Benjamin Guo
Personal agents · Product engineering
AI Engineer NYC 2026 Online Talks15:07
Deploying AI Inside a Bank Is Not an Engineering Problem — Paden Gayle, Applied AI Engineers
Paden Gayle
Safety & governance · Product engineering · Forward-deployed engineering
16:39
Why We Deleted Our MCP Server and Rebuilt It — Abhi Arya, Reducto
Abhi Arya
Agent engineering · MCP · Human-in-the-loop validation