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Ship Production Software in Minutes, Not Months — Eno Reyes, Factory
Takeaway
Agent-native development means standardizing how your org thinks so droids can ingest your context and orchestrate work across the whole software lifecycle.
Summary
- Factory's 'droids' delegate full SDLC tasks: ingest task, ground in repo/branch/memories, ask clarifying questions, code, run pre-commit/lint, open passing PR.
- Failures usually trace to missing context (standup notes, whiteboard photos, design decisions) rather than weak LLMs—prompt engineering is mostly context engineering.
- Planning-with-AI: feed 3 months of user transcripts + architecture docs + Granola meeting notes into a knowledge droid that surfaces patterns and constraints, then iterate a PRD into Linear/Jira tickets.
- Process artifacts (PRDs, design docs, RCAs, roadmaps) become a knowledge base for droids—documentation is a conversation with future humans AND future agents.
coding-agentsfactorycontext-engineering
Original description
Planning, coding, testing, monitoring—the endless cycle that spans 10+ tools that fragment our focus and slows delivery to a crawl. Vibe coding doesn't work when you've got 10TB of code. If you just sighed, you're one of many professional software engineers trapped in the traditional software development lifecycle (SDLC) that was designed before AI could parallelize your entire workflow. But what if you could orchestrate multiple AI agents on tasks beyond just generating code, while you focus on the creative decisions that matter? In this talk, I'll demonstrate how real enterprise organizations are changing their entire SDLC—going from understanding, planning, coding, and testing all the way to incident response—using AI agents. You'll witness the next evolution of software engineering—where AI doesn't just generate code, but orchestrates the entire development lifecycle. About Eno Reyes Eno Reyes is cofounder and CTO of Factory, a platform that accelerates enterprise software development with autonomous AI agents and unified context from across your engineering tools. Enterprises are using Factory to accelerate everything from bug-fixing and coding to PRD creation, release automation, migrations, and more. Prior to Factory, he was an ML engineer at Hugging Face working on enterprise LLMs. Recorded at the AI Engineer World's Fair in San Francisco. Stay up to date on our upcoming events and content by joining our newsletter here: https://www.ai.engineer/newsletter