@unoplat/unoplat-code-confluence-2

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Generated from branch dev at commit 5ecdba39d57f50c5188a8e32b9dd4f52d01611fe (2026-07-18). Content may become stale as new commits land.

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Engineering Workflow

Install

• uv sync --locked --group dev — pyproject.toml / uv.lock

Build

• uv build — pyproject.toml

Dev

• uv run ucc — pyproject.toml (project script entry point)

Test

• Not detected

Lint

• uv run --group dev ruff check src/ — Taskfile.yml

Type Check

• uv run --group dev pyrefly check src/ — Taskfile.yml

Dependency Guide

See dependencies_overview.md for the full dependency catalog and usage notes.

Business Domain

Description

Unoplat Code Confluence CLI manages a local Docker Compose deployment for repository-aware AI code assistance, including Flow Bridge, a query engine, and a frontend. It registers and refreshes Git repositories, verifies repository and model-provider credentials, tracks GitHub release manifests and installed state, and initiates AGENTS.md-generation workflows that raise pull requests.

References

See business_domain_references.md for the supporting source references used to derive this domain summary.

App Interfaces

See app_interfaces.md for the canonical interface and endpoint reference.

Architecture

See architecture.md for the canonical system architecture diagram.

🎥 Demo: Agents.md-first Context

What's in the demo: automatic AGENTS.md generation per repo and an org index that gives any coding agent a precise source of truth. See a sample PR created by the tool.

⚠️ The Problem

AI coding agents excel at greenfield projects (new codebases built from scratch) but struggle with brownfield codebases (mature, production systems with existing code).

Why? They burn most of their context window on exploration—searching files, tracing flows, connecting dots—leaving little capacity for actual implementation. By the time they're ready to code, they've hit the "dumb zone" where performance degrades sharply. And since they lack long-term memory, this cycle repeats with every conversation.

Multi-repo complexity makes it worse. When code is split across connected repositories, the agent exhausts its context just mapping dependencies between codebases—often before writing a single line.

Internal dependencies present another failure mode. The agent has no onboarding to proprietary systems, so it hallucinates usage patterns. Worse, when internal documentation has drifted from actual implementation, the agent trusts those "lies" and produces code that doesn't work.

The end result: slop code requiring heavy rework.

🎯 The Solution

Unoplat Code Confluence is the context engine for application development, organizing precise, up-to-date knowledge of your data models, entry points, endpoints, and more—so coding agents can deliver and maintain features 2–3x faster with higher quality.

AGENTS.md-first Context

Auto-generates machine-readable AGENTS.md files per repo to give coding agents a precise source of truth:

• Engineering Workflow — Canonical install/build/dev/test/lint/type_check commands plus key config files and their responsibilities
• Business Logic — Core application logic, domain entities, and database entities
• Entry Points & Interfaces — Main entry points, API endpoints, and external interfaces
• External Dependencies — Roles and responsibilities of external libraries

🌟 Core Principles

1. Precision First

• Extensible Language Support: Modular Tree-sitter based grammar extraction delivers consistent, accurate code context across all programming languages
• Extensible Framework-Aware Parsing: Specialized grammar engines recognize framework and library-specific patterns based on project dependencies

2. Context Engineering

• All important metadata about application—dependencies, inbound/outbound interfaces, domain models, and data store models—are identified and their relationships preserved

3. Enterprise-Grade Scalability, Reliability and Auditability

• Scalable, auditable and reliable processing powered by workflow orchestrator

🚀 Getting Started

Ready to enhance your development workflow?

Check out our Quick Start Guide.

🧠 Agent Skill

This repository includes a portable agent skill for the Unoplat Code Confluence CLI at skills/unoplat-code-confluence-cli/SKILL.md.

Install it with the skills CLI:

npx skills add https://github.com/unoplat/unoplat-code-confluence --skill unoplat-code-confluence-cli

The skill teaches compatible coding agents how to use ucc from PATH, help users install it with uv tool install "git+https://github.com/unoplat/unoplat-code-confluence.git#subdirectory=unoplat-code-confluence-cli" when needed, ingest repositories, and run the single-command ucc agent-md <repository_git_url> flow.

📊 Project Status

  ALPHA ████████████████░░░░ BETA

For detailed roadmap, language support status, and planned features, see our Product Roadmap.

Maintainers

💬 Product Feedback & Alpha Disclaimer

Unoplat Code Confluence is in alpha. We’re building for our own daily use first, prioritizing stability and bug fixes. We’re collecting feedback now and will act on it once the core is solid. Early adopters welcome. Expect rapid changes and rough edges.

• Discord: Join our community channel
• GitHub Issues: Create an issue for bug reports or feature requests
• GitHub Discussions: Start a discussion for broader conversations

Your feedback is invaluable as we work toward production readiness and helps us prioritize our roadmap to better serve the developer community.

License

Unoplat-CodeConfluence is licensed under the GNU Affero General Public License v3.0 (AGPL-3.0) + COMMONS CLAUSE.