Production-Grade Multi-Agent Software Engineering

AI Software Engineering,
Automated Safely.

Connect your GitHub repository. Describe your task in natural language. Let a controlled workforce of specialized AI agents investigate, plan, code in isolated sandboxes, run tests, audit security, and open verified pull requests.

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aegis-engine // illustrative-agent-run

Example Workflow — Illustrative Agent Run

$ aegis-exec --task "Fix JWT refresh token expiration bug and add regression tests"

[Supervisor] Formulated 5-step execution plan across 6 specialized agents.

[Researcher] Discovered target modules and identified root cause.

[Coder] Created atomic patch in isolated sandbox container. Added regression test.

[Tester] Executed test suite in sandbox: All tests passed.

[Security] Scanned diff: 0 credentials leaked, 0 prompt injection directives.

[Reviewer] Peer review status: APPROVED.

Pull Request prepared: [AegisCode] fix/jwt-refresh → main — Ready for Review(verified autonomous pipeline telemetry)

End-to-End Autonomous Pipeline

How AegisCode Works

From natural language instruction to clean, production-grade pull requests — with verified sandbox testing and human governance at every high-risk boundary.

Connect GitHub

Authenticate via GitHub App or fine-grained Personal Access Token (PAT). Zero token exposure to client bundles.

Choose Repository

Select any authorized repository from your isolated workspace. Multi-tenant boundary ensures zero cross-user access.

Describe Task

Specify your engineering requirement, constraints, and policy preferences in simple, natural language.

AI Investigates

Researcher Agent explores AST trees, symbol definitions, and dependency hierarchies across the codebase.

AI Plans

Supervisor Agent decomposes complex objectives into directed acyclic dependency graphs with checkpointing.

AI Codes

Coder Agent generates atomic, idiomatic patches strictly inside an isolated Docker sandbox container.

AI Tests

Tester Agent runs the repo test suite, captures exit codes and stdout/stderr, and drives bounded repair loops.

AI Audits Security

Security Agent inspects diffs for hardcoded secrets, injection vectors, command execution flaws, and OWASP risks.

AI Reviews

Reviewer Agent performs architectural style review and validates changes against the initial prompt and constraints.

Approval When Required

High-risk actions pause execution until human developer grants explicit cryptographic sign-off via Approvals Center.

Real Pull Request

Creates actual GitHub branch, commits clean changes, and opens a verified Pull Request with full execution trace and test report.

Engineered for Defense, Built for Autonomy

Not a toy chatbot. AegisCode is designed around deterministic state boundaries, sandboxed code execution, and human oversight.

LangGraph Orchestrator

Deterministic state graph with checkpointing, bounded repair cycles, and automatic rollbacks on unrecoverable failures.

Isolated Sandboxing

Untrusted code runs in ephemeral containers with CPU/memory limits, non-root users, command allowlists, and path containment.

Human Approval Policy

High-risk actions pause execution for developer sign-off. Critical operations fail closed unless explicitly authorized.

AI Software Engineering, Automated Safely.