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Agent Reinforcement Fine Tuning – Will Hang & Cathy Zhou, OpenAI

Agent Reinforcement Fine Tuning – Will Hang & Cathy Zhou, OpenAI

AI Engineer December 9, 2025
Deep dive into OpenAI's approach to reinforcement fine-tuning for code models. https://x.com/willhang_ https://x.com/cathyzhou AIE is coming to London and SF! …
 
RL Environments at Scale – Will Brown, Prime Intellect

RL Environments at Scale – Will Brown, Prime Intellect

AI Engineer December 9, 2025
Scaling reinforcement learning environments for training advanced AI coding models. https://twitter.com/willccbb AIE is coming to London and SF! see dates …
 
Efficient Reinforcement Learning – Rhythm Garg & Linden Li, Applied Compute

Efficient Reinforcement Learning – Rhythm Garg & Linden Li, Applied Compute

AI Engineer December 9, 2025
Reinforcement learning (RL) is a powerful mechanism for building agents that are superhuman and specialized in particular tasks. At Applied …
 
Don't Build Agents, Build Skills Instead – Barry Zhang & Mahesh Murag, Anthropic

Don't Build Agents, Build Skills Instead – Barry Zhang & Mahesh Murag, Anthropic

AI Engineer December 8, 2025
In the past year, we've seen rapid advancement of model intelligence and convergence on agent scaffolding. But there's still a …
 
VoiceVision RAG - Integrating Visual Document Intelligence with Voice Response — Suman Debnath, AWS

VoiceVision RAG - Integrating Visual Document Intelligence with Voice Response — Suman Debnath, AWS

AI Engineer December 6, 2025
In this workshop we will explore the integration of Colpali, a cutting-edge Vision based Retrieval Model, with voice synthesis for …
 
Government Agents: AI Agents Meet Tough Regulations — Mark Myshatyn, Los Alamos National Lab

Government Agents: AI Agents Meet Tough Regulations — Mark Myshatyn, Los Alamos National Lab

AI Engineer December 6, 2025
Lightning talk given at the 2025 AI Engineer World's Fair. https://www.linkedin.com/in/markmyshatyn/
 
Future-Proof Coding Agents – Bill Chen & Brian Fioca, OpenAI

Future-Proof Coding Agents – Bill Chen & Brian Fioca, OpenAI

AI Engineer December 5, 2025
Coding agents are becoming one of the most active areas in applied AI, yet many teams keep rebuilding fragile infrastructure …
 
Katelyn Lesse – Evolving Claude APIs for Agents, Anthropic

Katelyn Lesse – Evolving Claude APIs for Agents, Anthropic

AI Engineer December 4, 2025
Developers are building more and more complex, long-running, agentic systems. Learn how the Anthropic team is evolving the Claude Developer …
 
No Vibes Allowed: Solving Hard Problems in Complex Codebases – Dex Horthy, HumanLayer

No Vibes Allowed: Solving Hard Problems in Complex Codebases – Dex Horthy, HumanLayer

AI Engineer December 2, 2025
It seems pretty well-accepted that AI coding tools struggle with real production codebases. At AI Engineer 2025 in June, The …
 
Defying Gravity - Kevin Hou, Google DeepMind

Defying Gravity - Kevin Hou, Google DeepMind

AI Engineer December 2, 2025
Why we built Google Antigravity, and discussing the future of agentic IDEs with Gemini 3. Speaker: https://x.com/kevinhou22 AIE is coming …
 
Building Cursor Composer – Lee Robinson, Cursor

Building Cursor Composer – Lee Robinson, Cursor

AI Engineer December 2, 2025
Learn about the infrastructure, training, and evaluations used to build Cursor Composer, our first coding model. (https://cursor.com/blog/2-0) Speaker: https://x.com/leerob AIE …
 
Backlog.md: Terminal Kanban Board for Managing Tasks with AI Agents — Alex Gavrilescu, Funstage

Backlog.md: Terminal Kanban Board for Managing Tasks with AI Agents — Alex Gavrilescu, Funstage

AI Engineer November 24, 2025
Never leave your terminal to create and manage tasks for your AI agents. Backlog.md stores all your tasks as Markdown …
 
Compilers in the Age of LLMs — Yusuf Olokoba, Muna

Compilers in the Age of LLMs — Yusuf Olokoba, Muna

AI Engineer November 24, 2025
Python is where ideas start—but it isn't where portable, low-latency software ends. In this talk, I'll show how we use …
 
Agents are Robots Too: What Self-Driving Taught Me About Building Agents — Jesse Hu, Abundant

Agents are Robots Too: What Self-Driving Taught Me About Building Agents — Jesse Hu, Abundant

AI Engineer November 24, 2025
In this talk, I break down the surprising parallels between robotics and agents: embodiment, statefulness, simulation, and more. The main …
 
The Unbearable Lightness of Agent Optimization — Alberto Romero, Jointly

The Unbearable Lightness of Agent Optimization — Alberto Romero, Jointly

AI Engineer November 24, 2025
This talk introduces Meta-ACE, a learned meta-optimization framework that dynamically orchestrates multiple strategies (context evolution, adaptive compute, hierarchical verification, structured …
 
Vision: Zero Bugs — Johann Schleier-Smith, Temporal

Vision: Zero Bugs — Johann Schleier-Smith, Temporal

AI Engineer November 24, 2025
Software with zero bugs sounds absurd, or even impossible, in anything but simple situations, but it has been built. For …
 
Developing Taste in Coding Agents: Applied Meta Neuro-Symbolic RL — Ahmad Awais, CommandCode

Developing Taste in Coding Agents: Applied Meta Neuro-Symbolic RL — Ahmad Awais, CommandCode

AI Engineer November 24, 2025
Your coding agent writes code like an LLM bot. CommandCode writes code like me. Every developer has a coding agent …
 
Enterprise Deep Research: The Next Killer App for Enterprise AI — Ofer Mendelevitch, Vectara

Enterprise Deep Research: The Next Killer App for Enterprise AI — Ofer Mendelevitch, Vectara

AI Engineer November 24, 2025
Conversational AI has already proven itself as the first high-ROI enterprise AI application. But the real frontier lies beyond chat …
 
The Cure for the Vibe Coding Hangover — Corey J. Gallon, Rexmore

The Cure for the Vibe Coding Hangover — Corey J. Gallon, Rexmore

AI Engineer November 24, 2025
Download the slides, soundtrack and other resources from this talk at: https://vibecodinghangover.com Inspiration strikes! You fire up your favorite AI …
 
Context Engineering: Connecting the Dots with Graphs — Stephen Chin, Neo4j

Context Engineering: Connecting the Dots with Graphs — Stephen Chin, Neo4j

AI Engineer November 24, 2025
AI systems need more than intelligence; they need context. Without it, even the most advanced models can misinterpret information, lose …
 
Context Platform Engineering to Reduce Token Anxiety — Val Bercovici, WEKA

Context Platform Engineering to Reduce Token Anxiety — Val Bercovici, WEKA

AI Engineer November 24, 2025
Context Platform Engineering is the set of skills and tools to design, size, and configure systems optimized for Agent Swarm …
 
AI Copilots for Tech Architecture: The Highest-ROI Use Case You’re Not Building — Boris B., Catio

AI Copilots for Tech Architecture: The Highest-ROI Use Case You’re Not Building — Boris B., Catio

AI Engineer November 24, 2025
AI copilots have already changed the game in software development. But the most strategic, highest-leverage use case is still overlooked: …
 
What Data from 20m Pull Requests Reveal About AI Transformation — Nick Arcolano, Jellyfish

What Data from 20m Pull Requests Reveal About AI Transformation — Nick Arcolano, Jellyfish

AI Engineer November 24, 2025
Engineering teams are spending millions on AI coding tools, but most have no idea what's actually working. Without hard data, …
 
From Stateless Nightmares to Durable Agents — Samuel Colvin, Pydantic

From Stateless Nightmares to Durable Agents — Samuel Colvin, Pydantic

AI Engineer November 24, 2025
Building production AI agents reveals a harsh truth: stateless architectures that work for simple demos become impossibly painful at scale. …