Eno Reyes

Making Codebases Agent Ready – Eno Reyes, Factory AI

Dec 22, 2025 · 15:33

Eno Reyes of Factory AI argues that the primary bottleneck for AI agents in software engineering is not model capability but the 'agent readiness' of the codebase, measured by eight categories of automated verification including linters, tests, and documentation. He describes a shift from specification-based to verification-based development (Software 2.0), where agents succeed only when environments have fast feedback loops and explicit constraints. Reyes presents a flywheel: better validation enables better agents, which in turn improve validation, and claims this investment can yield 5x, 6x, 7x engineering velocity. He advises organizations to measure their readiness across pillars like style validation, build systems, and observability, and to remediate gaps using agents themselves. The talk emphasizes that organizational practices, not tool selection, determine agent success.

Ship Production Software in Minutes, Not Months — Eno Reyes, Factory

Jul 25, 2025 · 16:06

Eno Reyes, cofounder and CTO of Factory, argues that AI agents can orchestrate the entire software development lifecycle, moving beyond vibe coding to agent-native development where enterprises delegate planning, coding, testing, and incident response to autonomous droids. He explains that AI tools are only as good as the context they receive—missing context from meetings, whiteboards, or Slack is the primary cause of failure, not LLM quality. Factory's droids search codebases, leverage organizational memory, and question unclear tasks before executing, from generating PRDs and tickets to creating runbooks and RCAs from sentry alerts. Reyes demonstrates how an agent can convert user transcripts and ad-hoc notes into a full feature plan, then break it into parallel tickets for multiple code droids. For incident response, droids pull logs, historical runbooks, and team discussions to produce mitigation plans in minutes, cutting response times in half and shifting from reactive to predictive operations. He emphasizes that the future belongs to engineers who manage agents—thinking clearly and communicating effectively—rather than those writing every line of code.

Building Reliable Agentic Systems: Eno Reyes

Aug 20, 2024 · 18:14

Eno Reyes, CTO of Factory.ai, explains how his team builds reliable agentic systems—called Droids—for automating software development tasks by applying techniques from robotics and control systems to handle planning, decision making, and environmental grounding. Reyes describes a pseudo-Kalman filter that passes intermediate reasoning through plan steps, converging reasoning but risking error propagation. He advocates for explicit plan criteria and hard-coded logic to improve reliability, despite reducing generalizability. On decision making, he recommends consensus mechanisms like self-consistency, explicit reasoning with checklists, fine-tuning for out-of-distribution decisions, and simulation via Monte Carlo tree search. For environmental grounding, he emphasizes building custom AI computer interfaces for domain-specific workflows, designing explicit feedback processing (e.g., parsing CI/CD logs), balancing bounded exploration with long-context models, and incorporating human guidance to boost reliability from 30–40% to 90–100%.