The velocity gap
More code shipped does not mean faster delivery.
Your team adopted AI coding tools. Developers are writing code faster than ever. But cycle times haven't improved. PRs still pile up. Deployments still take days.
The bottleneck isn't individual speed. It's the manual handoffs between planning, coding, review, testing, and deployment. Factory agents eliminate those handoffs entirely.
The software factory
Coding is faster but what about the entire SDLC
The real breakthrough isn't just speed. The real shift is this: software is no longer written. It is produced.
Companies like Ramp, Block, Stripe, and Spotify have already moved in this direction. They're building internal systems where agents don't just assist engineers. They execute end-to-end workflows.
This is the beginning of the Software Factory, the evolving architecture behind AI-native engineering teams, where every stage of software development accelerates.
With coding agents
With Software Factory
What is a background agent
The answer: agents that run in the cloud factory
A background agent is an autonomous AI process that executes tasks across your development lifecycle without requiring a human at the keyboard. Unlike interactive coding assistants, background agents are triggered by events, run on schedules, or coordinate in fleets.
| Dimension | Coding Assistant | Factory Agent |
|---|---|---|
| Where it runs | Your local machine | Cloud sandbox / Devbox |
| How triggered | You type a prompt | Event, schedule, or fleet |
| Scope | One file or feature | Entire repos & systems |
| Developer role | Driver | Architect & reviewer |
| Availability | When you're active | 24/7 continuous |
Step 01
Understand the factory components
Multi-Agent Orchestration
Planner, executor, reviewer. Problems break down into specs, get implemented in parallel, and validated before shipping.
Sandboxed Execution
Each agent runs in isolation with its own repo copy and zero risk to production systems.
Context Layer
Agents pull from specs, past decisions, tickets, and live signals like logs and metrics to act accurately.
Curated Capabilities
Edit code, run tests, create PRs, call APIs. Quality of tools matters more than quantity.
Workflow Integration
Plugs into Slack, GitHub, Linear, and JIRA. Interact naturally without learning new platforms.
Guardrails & Human Review
Agents generate PRs and run tests. Humans define requirements and approve outputs.
Step 02
Scale your software factory
Agents handle the routine. Engineers focus on architecture, product decisions, and customer empathy.
The factory metaphor is intentional. Every great manufacturing system separates human creativity from mechanical repetition. Software is next.
Step 03
How the factory works
Agents as Teammates
Agents have identities, appear on your board, comment on tasks, and surface blockers. They don't just execute, they participate.
Snapshots
Every PR is fully traceable. Sessions, decisions, and context become indexed knowledge your team builds on.
Autonomous Execution
Set the goal, let the system run. Agents manage the full lifecycle from enqueue to completion with no micromanagement.
Reusable Skills
Every solution becomes a reusable capability. Deployments, reviews, migrations, once solved, become available to your whole team.
Unified Runtimes
One control plane for all execution. Run agents securely in the cloud with real-time monitoring and zero context switching.
Multi-Workspace
Each workspace has its own agents, features, and config, fully isolated yet scalable from small teams to large orgs.
How it works
From codebase to software factory in minutes
Connect your repo
XHawk indexes your codebase, understanding architecture, patterns, and context.
Configure agents
Choose from pre-built agents or define custom behaviors for your workflows.
Set triggers
Schedule agents on cadence or wire them to GitHub events, CI failures, or webhooks.
Ship continuously
Agents handle the mechanical work. Your team focuses on what only humans can do.
Where does your engineering org stand?
Nobody can fully predict the endgame of software engineering. But we do know everything has already changed. The question is whether your organization is building a software factory, or still running a cottage.