AI Software Workforce — Now in Prototype

The future of coding has no humans.

Sheep builds coordinated teams of autonomous AI developers supervised by humans, dynamically scalable, and already running pilot projects.

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Build on top of:

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Why Now

AI has changed how developers write code, but not how software is built. Today, teams talk to LLMs through endless chat prompts and isolated tools, without memory, context, or coordination. Sheep turns that chaos into structure.

It’s not another assistant. Sheep is an autonomous orchestration layer where multiple AI agents and humans collaborate inside a single, evolving workflow. Issues become connected, context is shared, and execution becomes continuous.

Adaptive Intelligence

Sheep structures every Task as a dynamic graph of issues. Each agent focuses on one issue ( coding, reviewing, testing ) while the system reorganizes itself as it learns. The result is a workflow that behaves like a real engineering team: autonomous, contextual, and adaptive.

Human Supervision

Every action remains auditable and reversible. Humans define goals and validate results; AI handles the repetitive work. Each correction becomes feedback, allowing the system to improve over time without losing control or transparency.

Engineered for Real Work

At the heart of Sheep is a proprietary orchestration engine that coordinates multiple AI agents in real time. It treats every repository as a living ecosystem: indexing its code, learning from commits, and executing tasks through an intelligent Directed Acyclic Graph (DAG) of issues.

This architecture allows Sheep to plan, execute, and learn across complex projects with human-level reasoning and machine-level speed. Built for enterprise reliability and scalability, it’s the bridge between today’s AI tools and tomorrow’s autonomous software teams.

Step 01

Create the Task Manifest

Every day starts with small missions. You give a clear command: what to build, improve, or fix. Sheep takes that intent and turns it into a structured task manifest: a shared source of truth that defines what success means before any code is written.

  • Write your goal once: Sheep distributes it across every agent and reviewer.
  • Boundaries, metrics, and review rules captured instantly in the manifest.
  • Nothing runs until it’s approved. Full visibility, zero surprises.
Ready to execute
Add Google OAuth Login & Redesign Homepage

Created by · Filippo Daminato

Implement secure Google authentication, update backend routes for token validation, and refresh the homepage UI with a clean, modern layout.

sheep-cloud-platform/frontend-module

Atlas Frontend

Atlas Frontend · Hermes Ops

Step 02

Sheep Expands the Plan

From a single task, Sheep generates a complete DAG of issues: a living execution graph where every node knows its purpose, dependencies, and context. As agents work, the graph reorganizes itself in real time, adapting to discoveries and feedback. It’s not a static plan, it’s a system that thinks while it builds.

Add Google Authentication Library

Done

Refactor Homepage UI

In Progress

Create Google Auth Config

In Progress

Update Homepage Route

Pending

Implement Google Auth Routes

Pending

Update Main Server File

Pending
Step 03

Execution in Motion

Each task breaks into issues: autonomous units of work built for precision and speed. Every issue knows its goal, its dependencies, and how to get there. Agents write, test, and adapt in real time, syncing through a shared brain. Some move in parallel, others wait, all part of a living system that builds software like a launch sequence.

  • AI agents generate code, documentation, and tests with full awareness of the project’s structure.
  • Dependencies are resolved automatically: updates ripple through connected components without breaking integrity.
  • Human reviewers step in for judgment calls, guiding the next iteration and teaching the system through feedback.
Issue · API Layer Refactor In Progress

Branch · feature/api-refactor

Refactor the API layer to support typed endpoints and improve response consistency across services.

Schema Migration · Auth Middleware Update

Atlas API Team

OpenAI

Step 04

One Pull Request. Total Confidence.

When execution ends, everything converges into a single branch: clean, verified, and auditable. The orchestrator compiles every change, every test, every proof of work into one precise pull request. No chaos. No surprises. Just code ready to fly.

  • Full traceability, from intent to commit.
  • Review package includes diffs, tests, and execution logs.
  • Humans merge what they trust, every action is reversible.
Pull Request · feat/observability-dashboard

Merged from verified issues · #128

Ready to Merge
[core] Add real-time telemetry and P90 latency metrics

by Atlas · Verified

[frontend] Update dashboard UI for SLA indicators

by Gemini · Tests passed

[backend] Refactor observability API endpoints

Reviewed by K. Singh · Approved

[docs] Auto-generate compliance report

Queued · Awaiting reviewer sign-off

Join the Revolution

Sheep isn’t just automating software, it’s redefining how intelligence builds and collaborates. Be among the first to command your own AI engineering team.

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