Multi-agent development for microservices teams
Parallel AI agents.
Across your microservices.
Without collisions.
Generacy gives AI agents their own isolated dev containers, scoped credentials, and a GitHub-native workflow that spans your repositories — so multiple agents can coordinate changes across services in parallel, shipping linked PRs in each affected repo, without stepping on each other or touching production.
Real Results
27 days
One developer, empty repo to production-ready legal platform
143 PRs
95% opened by the autonomous agent
11 concurrent agents
Working in parallel across microservices at peak
1 Claude Max subscription
60–70% of weekly limits. No API spend.
A 22-week plan, shipped in 4 weeks
An architect wrote an 18-month plan for a senior engineering team to ship a production multi-tenant legal platform, with a 5-phase implementation for a full-service multi-tenant agentic legal platform. The plan was expected to compress down to 22 weeks with Claude coding assistance.
Generacy was able to crush that plan with only one engineer in just 27 days.
That's 550% more productivity than just using Claude and with fewer human resources. The work ran on a single Claude Max subscription. Eleven agents working in parallel at peak. No production credentials on any agent at any point. And no collisions.
AI law firm platform build, January 2026 → Read the full case study
The Problem
Code generation isn't the bottleneck anymore
Coordination is
AI coding tools can write code, but they struggle with real-world delivery — especially across multiple services, multiple repositories, and multiple agents working in parallel. Agents waste tokens reading irrelevant context, drift on longer tasks, create fixes that break other things, and turn validation into a serial bottleneck. Teams end up babysitting the process instead of shipping. Most try to solve this with better prompts. That's not enough.
AI burns credits
Agents produce irrelevant output, wasting tokens and compute on work that gets thrown away.
Agents drift or loop on longer tasks
Without structure, agents wander off-track, retry endlessly, or produce inconsistent results.
Fixes create new issues
AI-generated patches that fix one thing and break another, turning validation into a bottleneck.
Teams babysit instead of shipping
Engineers spend more time supervising the process instead of accelerating it.
What Generacy Does
Generacy gives AI a better way to operate inside your engineering system.
Backlog-driven execution
Work starts from your backlog — real tasks, not one-off prompts. Tag an issue, and Generacy orchestrates agents to take it from spec to pull request.
Cross-repo coordination
A single issue can spawn coordinated changes across multiple repositories. Generacy opens and manages a draft PR in each affected repo, all linked back to the issue. Agents working in different repos coordinate through the issue thread, not by reaching into each other's containers. First-class support for multi-repo workspaces spanning microservices, plugins, and reference repos.
Structured tooling
Replace random tool stacks with curated agents. Give agents the right tools and see exactly what they see with stateful tool inspection.
Validation built in
Catch issues early and reduce manual review. Agents run type checks, lint, and tests — changes reach review only after they pass.
Role-based agents
Assign different responsibilities, credentials, and access levels across agents. A single setup to parallel execution across your team.
Parallel agents
Run many agents at once across your services without collisions. Each agent gets its own dev container with the full stack — emulators, services, runtimes — and credentials scoped to that container. Eleven concurrent agents at peak in our reference law-platform build.
Less Noise, Less Drift, More Useful Work, Per Token
Without Generacy
- Interrupt-driven
- Manual rollbacks
- Loops & retries
- Unpredictable
With Generacy
- Clear tasks from backlog
- Cross-repo coordination
- Structured tooling
- Reliable patterns
Teams get:
- Lower AI spend
- Faster iteration
- Better performance on real, complex codebases
WE USE WHAT WE BUILD
Generacy is built using Generacy
Our own stack spans approximately nine repositories — the UI, the cloud control plane, the workflow engine, the dev container images, plugins for source control and dev CLIs, MCP servers, the marketing site. We ship features across them using the same parallel-agent workflows we sell, including the cross-repo PR coordination that lets a single issue spawn linked changes in every affected repo.
Every change to Generacy goes through the same lifecycle Generacy enforces for everyone else: a labeled GitHub issue, an agent working in an isolated dev container with scoped credentials, a draft PR with a live phase checklist, validation before review, and a human merging once it's ready. The bugs we hit using Generacy on Generacy are the bugs we fix first — because we're the ones running into them.
We're not demoing a future. We're using it daily on production code, at non-trivial scale, with the same constraints our customers face.
Built for the AI Development Workflow
Label-Driven Development
Drive your backlog with GitHub labels. Tag an issue, and Generacy orchestrates agents to take it from spec to pull request automatically.
Agency MCP
Curate and test the tools your AI agents use, right inside VS Code. Inspect tools, add them, and browse — free and open source.
mcp_tools: build, test, source_control
mcp_servers: agency, docker, filesystem
Workflow Orchestration
Run multi-step development workflows with more control and less marshalling. From individual workflows to parallel execution across your team.
Built for Real Software
Capabilities
- Works with multi-repo workspaces
- Supports multi-repo environments
- Runs in a black box environment
- Keeps your code, infrastructure, and credentials under your control
Environment Overview
| Repositories | 1-N |
| Runners | 1-N |
| Environments | 1-N |
Generacy & Security
- Privacy-first processing
- Audit logging
- Policy enforcement
Get from Zero to Your First AI-Authored PR in Under 10 Minutes
Two paths. Pick the one that fits how you want to work.
Cloud (no install)
Sign in with GitHub
Use one-click OAuth and install the Generacy GitHub App on your organization.
Create your project
Point Generacy at a repository and we generate your dev container configuration.
Launch a cluster on Digital Ocean from the UI
Connect your DigitalOcean account and launch a development cluster straight from the UI — no Docker, no local setup.
Label an issue, ship a PR
Tag a GitHub issue with a process label — Generacy takes it from spec to pull request.
Spin up a working Generacy cluster on Digital Ocean directly from the UI. No Docker, no local setup. Connect your DigitalOcean account to launch.
Local (full control)
Sign in with GitHub
Use one-click OAuth and install the Generacy GitHub App on your organization.
Create your project
Point Generacy at a repository and we generate your dev container configuration.
Open in a Dev Container
Open the repo in VS Code with the Dev Containers extension and Generacy brings up the full stack locally.
Label an issue, ship a PR
Tag a GitHub issue with a process label — Generacy takes it from spec to pull request.
Run Generacy on your own machine with Docker and VS Code. Full control, full local context, ideal for teams that already have a Docker workflow.
Both paths start with a 14-day Generacy trial.
What Generacy Is Not
Not a prompt-to-app tool
Generacy doesn't generate apps from a prompt. It orchestrates your existing development workflow.
Not a hosted block box
Your code, infra, and credentials stay under your control. Generacy runs in your environment.
It is a structured AI development system for production software.
Generacy is built for teams shipping real software with real constraints — not toy demos.
Simple, Transparent Pricing
Agency is always free — no account required
Free
For individuals getting started
- 1 concurrent workflow
- 1 connected cluster
- Community support
- 1 GB storage
Basic
For individuals getting productive
- Up to 5 seats
- 2 concurrent workflows
- 2 connected clusters
- Cloud UI access
- Workflow storage
Standard
For small teams getting productive
- Unlimited seats
- 5 concurrent workflows
- 3 connected clusters
- Cloud UI access
- Queue management
Professional
For growing teams that need more
- Unlimited seats
- 10 concurrent workflows
- 4 connected clusters
- Cloud UI access
- Advanced workflows
Enterprise
For organizations with custom needs
- Unlimited seats
- Unlimited workflows
- Unlimited clusters
- Cloud UI access
- Custom integrations
Ready to accelerate your development?
Get started with Generacy today and give your AI a system built for real software delivery. Agency is free, forever.