The AI Coding Factory
We are joined by Eno Reyes and Matan Grinberg, the co-founders of Factory.ai. They are building droids for autonomous software engineering, handling everything from code generation to incident response for production outages. After raising a $15M Series A from Sequoia, they just released their product in GA!
https://factory.ai/
https://x.com/latentspacepod
Chapters
00:00 Introductions
00:35 Meeting at Langchain Hackathon
04:02 Building Factory despite early model limitations
06:56 What is Factory AI?
08:55 Delegation vs Collaboration in AI Development Tools
10:06 Naming Origins of 'Fa…
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Chapters (23)
Introductions
0:35
Meeting at Langchain Hackathon
4:02
Building Factory despite early model limitations
6:56
What is Factory AI?
8:55
Delegation vs Collaboration in AI Development Tools
10:06
Naming Origins of 'Factory' and 'Droids'
12:17
Defining Droids: Agent vs Workflow
14:34
Live Demo
17:37
Enterprise Context and Tool Integration in Droids
20:26
Prompting, Clarification, and Agent Communication
22:28
Project Understanding and Proactive Context Gathering
24:10
Why SWE-Bench Is Dead
28:47
Model Fine-tuning and Generalization Challenges
31:07
Why Factory is Browser-Based, Not IDE-Based
33:51
Test-Driven Development and Agent Verification
36:17
Retrieval vs Large Context Windows for Cost Efficiency
38:02
Enterprise Metrics: Code Churn and ROI
40:48
Executing Large Refactors and Migrations with Droids
45:25
Model Speed, Parallelism, and Delegation Bottlenecks
50:11
Observability Challenges and Semantic Telemetry
53:44
Hiring
55:19
Factory's design and branding approach
58:34
Closing Thoughts and Future of AI-Native Development
Playlist
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Ep 18: Petaflops to the People — with George Hotz of tinycorp
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RWKV: Reinventing RNNs for the Transformer Era
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Generating your AI Media Empire - with Youssef Rizk of Wondercraft.ai
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RAG is a hack - with Jerry Liu of LlamaIndex
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The End of Finetuning — with Jeremy Howard of Fast.ai
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Why AI Agents Don't Work (yet) - with Kanjun Qiu of Imbue
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Powering your Copilot for Data - with Artem Keydunov from Cube.dev
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Beating GPT-4 with Open Source Models - with Michael Royzen of Phind
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The State of Silicon and the GPU Poors - with Dylan Patel of SemiAnalysis
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The "Normsky" architecture for AI coding agents — with Beyang Liu + Steve Yegge of SourceGraph
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The AI-First Graphics Editor - with Suhail Doshi of Playground AI
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The Accidental AI Canvas - with Steve Ruiz of tldraw
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The Origin and Future of RLHF: the secret ingredient for ChatGPT - with Nathan Lambert
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The Four Wars of the AI Stack - Dec 2023 Recap
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The State of AI in production — with David Hsu of Retool
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Building an open AI company - with Ce and Vipul of Together AI
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Truly Serverless Infra for AI Engineers - with Erik Bernhardsson of Modal
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A Brief History of the Open Source AI Hacker - with Ben Firshman of Replicate
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Open Source AI is AI we can Trust — with Soumith Chintala of Meta AI
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Making Transformers Sing - with Mikey Shulman of Suno
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A Comprehensive Overview of Large Language Models - Latent Space Paper Club
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Why Google failed to make GPT-3 -- with David Luan of Adept
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Personal AI Meetup - Bee, BasedHardware, LangChain LangFriend, Deepgram EmilyAI
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Supervise the Process of AI Research — with Jungwon Byun and Andreas Stuhlmüller of Elicit
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Breaking down the OG GPT Paper by Alec Radford
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High Agency Pydantic over VC Backed Frameworks — with Jason Liu of Instructor
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This World Does Not Exist — Joscha Bach, Karan Malhotra, Rob Haisfield (WorldSim, WebSim, Liquid AI)
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LLM Asia Paper Club Survey Round
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How to train a Million Context LLM — with Mark Huang of Gradient.ai
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How AI is Eating Finance - with Mike Conover of Brightwave
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How To Hire AI Engineers (ft. James Brady and Adam Wiggins of Elicit)
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State of the Art: Training 70B LLMs on 10,000 H100 clusters
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The 10,000x Yolo Researcher Metagame — with Yi Tay of Reka
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Training Llama 2, 3 & 4: The Path to Open Source AGI — with Thomas Scialom of Meta AI
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[LLM Paper Club] Llama 3.1 Paper: The Llama Family of Models
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Synthetic data + tool use for LLM improvements 🦙
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RLHF vs SFT to break out of local maxima 📈
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The Winds of AI Winter (Q2 Four Wars of the AI Stack Recap)
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Segment Anything 2: Memory + Vision = Object Permanence — with Nikhila Ravi and Joseph Nelson
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Answer.ai & AI Magic with Jeremy Howard
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Is finetuning GPT4o worth it?
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Personal benchmarks vs HumanEval - with Nicholas Carlini of DeepMind
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Building AGI with OpenAI's Structured Outputs API
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Q* for model distillation 🍓
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Finetuning LoRAs on BILLIONS of tokens 🤖
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Cursor UX team is CRACKED 💻
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Choosing the BEST OpenAI model 🏆
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How will OpenAI voice mode change API design?
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Ephemeral software FOR YOU 💻
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STEALING OpenAI models data 🥷
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Models can do MORE than what you ask for 🤖
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[Paper Club] 🍓 On Reasoning: Q-STaR and Friends!
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[Paper Club] Writing in the Margins: Chunked Prefill KV Caching for Long Context Retrieval
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The Ultimate Guide to Prompting - with Sander Schulhoff from LearnPrompting.org
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llm.c's Origin and the Future of LLM Compilers - Andrej Karpathy at CUDA MODE
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Prompt Engineer is NOT a job 📝
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Prompt Mining LLMs for better prompts ⛏️
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The six pillars of few-shot prompting 🔧
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Language Agents: From Reasoning to Acting — with Shunyu Yao of OpenAI, Harrison Chase of LangGraph
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DeepCamp AI