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Eno Reyes

Conference affiliation: CTO & Co-Founder · Factory · 2026

Eno Reyes is the co-founder and chief technology officer of Factory, where he builds autonomous software engineering systems that carry work from planning through implementation, validation, and deployment. His central insight is that reliable autonomy depends as much on organizational context and verifiable engineering environments as on model capability.

Raised in Atlanta, Reyes graduated from Princeton University in 2021 and worked at Microsoft and Hugging Face before founding Factory with fellow Princeton alumnus Matan Grinberg in 2023. The pair connected at a San Francisco hackathon, built an early autonomous coding demonstration, and attracted backing from Sequoia Capital. They were subsequently named to the 2025 Forbes 30 Under 30 list in artificial intelligence. Reyes has described his experience with fragmented tools, technical debt, and scattered institutional knowledge as formative to his approach.

  • Factory Droids: Reyes helped build agents for code review, documentation, testing, migrations, and feature development. Their architecture combines planning, explicit decision criteria, and environmental grounding: custom interfaces translate developer tools and noisy continuous-integration results into usable feedback. His approach to agent reliability weighs finer-grained planning against error propagation, additional inference against cost, and autonomy against human oversight.
  • Agent-ready codebases: Reyes argues that organizations should prioritize deterministic validation loops over marginal differences between coding-model benchmarks. Opinionated linters, reliable tests, documented interfaces, and OpenAPI specifications make generated changes mechanically verifiable, enabling specification-driven development, parallel agents, and larger modernization projects. His account of agent readiness describes a reinforcing cycle: stronger validation improves agents, which can then improve the engineering environment.
  • Organizational context: Effective agents need access to product requirements, design documents, customer feedback, incident histories, and runbooks—not only source code. Reyes envisions systems that clarify requirements, prepare validated pull requests, support planning, and investigate incidents using tools including Notion, Confluence, Jira, and Linear.
  • Software factories: In Factory’s next-stage strategy, co-written with Grinberg, Reyes connects customer signals to implementation, review, security checks, deployment, and operational feedback. His model requires enterprise governance, model independence, and organizational control over data. He positions forward-deployed engineering as a bridge between enterprise conditions and reusable product improvements, while engineers increasingly design, supervise, and refine the systems that build software.

Read the topics behind these talks

4 conference talks

AI Engineer World's Fair 202418:14

Building Reliable Agentic Systems

Factory speaker Eno Reyes explains lessons from building Droids, autonomous agents for code review, documentation, testing, and software-development tasks. He discusses agent planning and sub-task decomposition, explicit decision criteria, inference-cost trade-offs, simulated decision paths and Language Agent Tree Search, environmental grounding through…

Eno Reyes

Reasoning and models · RAG, context, and search · Coding and developer tools

AI Engineer World's Fair 202621:21

How Forward Deployed Engineering is done at Factory

Factory co-founder and CTO Eno Reyes explains why deployed engineers should connect enterprise customer realities to reusable product development rather than operate as professional-services consultants. He describes a software-factory feedback loop encompassing customer signals, implementation, review, security validation, deployment, and measurable…

Eno Reyes

Coding and developer tools · Leadership · Infrastructure and deployment

AI Engineer Code 202515:33

Making Codebases "Agent-Ready"

Factory's Eno Reyes argues that successful autonomous software engineering depends less on choosing marginally better coding models than on making codebases mechanically verifiable. He connects Software 2.0 and the asymmetry of verification to practical readiness measures: opinionated linters, unit and end-to-end tests, documented interfaces, OpenAPI…

Eno Reyes

Coding and developer tools · APIs, MCP, and protocols · Developer workflows and testing

AI Engineer World's Fair 202516:06

Ship Production Software in Minutes, Not Months

Factory's Eno Reyes argues that enterprise software engineering should move beyond incremental AI coding assistance and vibe coding toward agents operating across the development lifecycle. He demonstrates how Droids inspect repositories, clarify requirements, write and validate code, and produce CI-ready pull requests; emphasizes organizational context…

Eno Reyes

Coding and developer tools · Reasoning and models · Developer workflows and testing

References