From AI Coding Agents to the Software Factory | Factory AI | Arize Observe 2026 @arizeai
From AI Coding Agents to the Software Factory | Factory AI | Arize Observe 2026  @arizeai
Uploaded July 2026 | Updated September 2026, 2 weeks ago
What comes after AI coding agents?

In this Observe 2026 session, Eno Reyes, CEO and cofounder of Factory AI, explains the rise of the “software factory”: a new model for software development where AI agents operate across the entire SDLC — from triage and planning to code review, QA, deployment, monitoring, and incident response.

Eno walks through how AI software development has evolved from autocomplete to coding agents, why enterprises need to think beyond individual tools, and what it takes to build agent-ready engineering systems that improve cycle time without increasing risk.

You’ll learn:
- Why AI coding agents are only one stage in the evolution of software development
- What a “software factory” is and how it changes the SDLC
- Why cost, model access, governance, and developer roles become urgent at enterprise scale
- Why model-agnostic AI infrastructure matters
- How agents can support code review, QA, security analysis, documentation, incident response, and deployment
- Why codebases need deterministic signals like tests, linters, type checks, and formatting
- How the role of the software engineer shifts from building code to stewarding an AI-driven system
- Why teams should measure outcomes like cycle time, bugs, and incidents — not tokens or lines of code

Chapters:
0:00 The rise of the software factory
0:49 How AI software development keeps changing
1:33 From autocomplete to coding agents
2:03 What comes after coding agents?
2:17 The urgent enterprise questions
3:47 Why bottlenecks kill software ROI
4:40 The SDLC as a feedback loop
5:26 AI agents across the entire software lifecycle
6:08 Why model-agnostic AI matters
6:55 Owning your software factory
7:32 Canonical agents across the SDLC
7:59 One agent across every surface
9:12 Governance, audit, and enterprise controls
10:20 Getting your codebase agent-ready
11:04 Agent readiness: acceleration vs. deceleration
11:49 The engineer as a software factory steward
12:43 Measure outcomes, not tokens
13:15 The self-driving car analogy for AI agents
13:53 Bugs and incidents as the key metric
14:45 Building the software factory journey

Presented at Observe 2026.

#AIAgents #FactoryAI #SoftwareEngineering

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From AI Coding Agents to the Software Factory | Factory AI | Arize Observe 2026

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