AI Engineer Creator Profile

Making Codebases Agent Ready – Eno Reyes, Factory AI

AI Engineer December 22, 2025

Agents are eating software engineering. Yet teams deploying these tools face mixed results. Agents work great in demos but fail …

The 3 Pillars of Autonomy – Michele Catasta, Replit

AI Engineer December 22, 2025

AI agents exhibit vastly different degrees of autonomy. Yet, the ability to accomplish objectives without supervision is the critical north …

From Arc to Dia: Lessons learned building AI Browsers – Samir Mody, The Browser Company of New York

AI Engineer December 19, 2025

What happens when you take a polished, beloved browser and rebuild it from the ground up around AI? In 2024, …

Leadership in AI Assisted Engineering – Justin Reock, DX (acq. Atlassian)

AI Engineer December 19, 2025

To realize meaningful returns on AI investments, leadership must take accountability and ownership of establishing best practices, enabling engineers, measuring …

Dispatch from the Future: building an AI-native Company – Dan Shipper, Every, AI & I

AI Engineer December 18, 2025

The central thesis is that there is a "10x difference" between an organization where 90% of engineers use AI versus …

AI Consulting in Practice – NLW, Superintelligent, @AIDailyBrief⁩

AI Engineer December 18, 2025

Insights from consulting on AI implementation across various organizations. Speaker: NLW | Host, AI Daily Brief & CEO, Super.ai https://x.com/nlw …

AI Kernel Generation: What's working, what's not, what's next – Natalie Serrino, Gimlet Labs

AI Engineer December 17, 2025

In this talk, we'll talk about how AI generated kernels can meaningfully speed up custom PyTorch code, without any human …

Code World Model: Building World Models for Computation – Jacob Kahn, FAIR Meta

AI Engineer December 17, 2025

Today, most neural models for code learn from code itself: sequences of tokens that capture syntax rather than computation. While …

What We Learned Deploying AI within Bloomberg’s Engineering Organization – Lei Zhang, Bloomberg

AI Engineer December 16, 2025

When it comes to using AI for software engineering, much of the spotlight falls on how large language models (LLMs) …

Building in the Gemini Era – Kat Kampf & Ammaar Reshi, Google DeepMind

AI Engineer December 15, 2025

A deep dive into the latest capabilities of Google DeepMind's Gemini 3 and the newly released "Nano Banana Pro" image …

Coding Evals: From Code Snippets to Codebases – Naman Jain, Cursor

AI Engineer December 15, 2025

AI coding capabilities have leapt from generating one-line snippets to competing entire codebases with agentic workflows. I’ll trace that arc …

Minimax M2: Building the #1 Open Model – Olive Song, MiniMax

AI Engineer December 13, 2025

Introducing Minimax's latest AI model and its applications in code generation. Speaker: Olive Song | Senior Researcher, MiniMax https://x.com/olive_jy_song

Hard Won Lessons from Building Effective AI Coding Agents – Nik Pash, Cline

AI Engineer December 12, 2025

Most of what’s written about AI agents sounds great in theory — until you try to make them work in …

The State of AI Code Quality: Hype vs Reality — Itamar Friedman, Qodo

AI Engineer December 11, 2025

AI is making code generation nearly effortless, but the critical question remains: can we trust AI-generated code for software that …

Can you prove AI ROI in Software Eng? (Stanford 120k Devs Study) – Yegor Denisov-Blanch, Stanford

AI Engineer December 11, 2025

You’re investing millions in AI for software engineering. Can you prove it’s paying off? Benchmarks show models can write code, …

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

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

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

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

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

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

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

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

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 …

AI Engineer

Making Codebases Agent Ready – Eno Reyes, Factory AI

The 3 Pillars of Autonomy – Michele Catasta, Replit

From Arc to Dia: Lessons learned building AI Browsers – Samir Mody, The Browser Company of New York

Leadership in AI Assisted Engineering – Justin Reock, DX (acq. Atlassian)

Dispatch from the Future: building an AI-native Company – Dan Shipper, Every, AI & I

AI Consulting in Practice – NLW, Superintelligent, @AIDailyBrief⁩

AI Kernel Generation: What's working, what's not, what's next – Natalie Serrino, Gimlet Labs

Code World Model: Building World Models for Computation – Jacob Kahn, FAIR Meta

What We Learned Deploying AI within Bloomberg’s Engineering Organization – Lei Zhang, Bloomberg

Building in the Gemini Era – Kat Kampf & Ammaar Reshi, Google DeepMind

Coding Evals: From Code Snippets to Codebases – Naman Jain, Cursor

Minimax M2: Building the #1 Open Model – Olive Song, MiniMax

Hard Won Lessons from Building Effective AI Coding Agents – Nik Pash, Cline

The State of AI Code Quality: Hype vs Reality — Itamar Friedman, Qodo

Can you prove AI ROI in Software Eng? (Stanford 120k Devs Study) – Yegor Denisov-Blanch, Stanford

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

RL Environments at Scale – Will Brown, Prime Intellect

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

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

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

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

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

Katelyn Lesse – Evolving Claude APIs for Agents, Anthropic

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

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