Co-Founder and CTO at Factory, building autonomous AI agents (Droids) that automate the software development lifecycle. Pioneer in agent-ready codebase architecture and verification systems for reliable AI-driven development.
Building Software That Builds Software
Eno co-founded Factory in 2023 with CEO Matan Grinberg to bring true autonomy to software engineering. At Factory, he leads the technical vision for:
- Droids - Autonomous software development agents that automate testing, debugging, refactoring, migrations, and maintenance work
- Agent-ready codebase framework - Eight-category system for making codebases compatible with AI agents
- Verification and validation systems - Infrastructure that ensures agent-generated code meets specifications
- Command Center - Developer platform integrating OpenAI’s reasoning models and Claude for software development
Background & Technical Foundation
Before founding Factory, Eno built a deep foundation in machine learning and language models:
- Hugging Face (2022-2023) - Machine Learning Engineer helping enterprises research and develop language models
- Microsoft - Software Engineer building anomaly detection systems
- Princeton University - Wrote thesis on deep learning and conducted research on computational models of human cognition
Eno grew up in Atlanta and met his co-founder Matan at Princeton. They were 23 and 24 respectively when they started Factory.
Core Expertise
Eight Categories for Agent-Ready Codebases
Eno presents a comprehensive framework identifying eight key categories that determine whether a codebase is optimized for AI agents:
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Environment Reset - The ability to verify and reset execution environments
- Critical for agent iteration and safety
- Enables specification of verification boundaries
- Many tasks are easier to verify than to solve
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Verification & Validation - Establishing rigorous validation criteria
- Software development is highly variable but verification patterns can be standardized
- Specification of constraints by which validation occurs
- Moving from verification to specification
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Testing Infrastructure - Comprehensive test coverage and generation
- Test coverage enables agent velocity
- QA and test generation through agents
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Software Development Lifecycle (SDLC) Integration
- Task decomposition
- Code review processes
- Response handling
- Task parallelization
- Documentation automation
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Code Quality Standards - Clear, measurable code standards
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Documentation - Automated and comprehensive documentation systems
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Monitoring & Observability - Feedback mechanisms for agent learning
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Specification Clarity - Clear requirements and constraints
Key Philosophy & Insights
Verifiability is the Key
Eno’s central thesis: The ability of agents to solve tasks is proportional to how verifiable those tasks are.
- “A sloppy test is better than no test” - Agents can help set things up
- Most existing codebases lack proper verification infrastructure
- Investing in environment feedback loops drives organizational velocity
- Results are measurable through objective metrics
OpEx as Input to Engineering
- Operational excellence inputs inform engineering decisions
- “One opinionated engineer can change the velocity of the entire business”
- The limit to agent productivity is your organization’s validation criteria
- More opinionated systems enable faster cycles
The Agent-Ready Framework
Factory AI provides:
- Building blocks for creating verifiable systems
- Verification systems that enable agents to validate their own work
- Measurable metrics to track improvement
About Factory
Factory is building autonomous AI agents for software development. Founded in 2023 and backed by Sequoia Capital, Factory’s platform includes:
- Droids - The world’s first truly autonomous software development agents that handle testing, debugging, refactoring, migrations, and maintenance
- Command Center - Development platform that integrates with GitHub, Slack, Linear, Notion, and Sentry
- Integration Partners - Works with both OpenAI’s reasoning models and Anthropic’s Claude for optimal performance
Factory’s mission is to automate tasks in the SDLC that developers don’t want to do, enabling them to focus on creative problem-solving rather than maintenance work.
Key Insights & Philosophy
Verifiability is the Key: Eno’s central thesis is that the ability of agents to solve tasks is proportional to how verifiable those tasks are. Investment in environment feedback loops and verification systems drives organizational velocity.
OpEx as Input to Engineering: “One opinionated engineer can change the velocity of the entire business.” The more specific and opinionated your system is, the faster the development cycle becomes.
Core Principles:
- “A sloppy test is better than no test” - Agents can help set things up
- “The limit is your organization’s validation criteria”
- Many tasks are easier to verify than to solve
- Specification clarity enables agents to work in parallel
- Measurable metrics track improvement objectively
Conference Appearance
Event: AI Engineering Code Summit 2025 Date: November 21, 2025 Time: 2:05 PM - 2:24 PM Session: “Making Codebases ‘Agent-Ready’” (Track: AI in Manufacturing/Industrial AI) Focus: Eight categories for agent-ready codebases, frameworks for AI productivity, verification systems, and industrial applications of AI agents
Last Updated: November 22, 2025