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This repository was archived by the owner on Oct 1, 2026. It is now read-only.
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Independent AI coding agent (Rust TUI). Multi-model, swarm/subagents, agent-tree UX, terminal-native workflow.

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⚠️ ARCHIVED — this repository is no longer maintained

This project has been archived. The repository is in read-only mode: no further development, bug fixes, or pull requests will be accepted here.

Why this was archived

next-code is a Rust coding agent (TUI + multi-model LLM client + swarm coordination, ~1.2M lines of Rust across 120 crates). The Rust implementation is genuinely excellent in terms of runtime performance — the TUI is blazing fast, memory footprint is small, and the agent loop is highly responsive.

However, the development and testing loop proved to be the bottleneck:

  • Slow compile-test cycles — a workspace of this size means even cargo check on a single crate change can take minutes, and a full cargo test run is very expensive.
  • Long dev → commit → push turnaround — iterating on a feature requires waiting on builds and tests that are disproportionately slow relative to the size of the change.
  • High iteration cost — the time cost of verifying a change often exceeded the time cost of writing it, which made day-to-day development painful.

In short: Rust delivers outstanding runtime performance, but the dev/test iteration speed did not keep up with the project's growth.

Where the work goes next

The valuable logic from next-code is being migrated to ultrabuilders/ultraworkers as soon as possible. That project is a plugin-based coding agent monorepo where the good ideas and proven components from next-code will live on with a faster development loop.

If you are looking for the active continuation of this work, please follow ultrabuilders/ultraworkers.

Historical README (for reference only)

Original project description (pre-archive)

next-code

Possibly the greatest coding agent ever built — blazing-fast TUI, multi-model, swarm coordination, 30+ tools.

  • Language: Rust (edition 2024)
  • Version: 0.32.0
  • Workspace: 120 crates, ~1.2M lines of Rust
  • Architecture: modular monorepo — agent runtime, TUI (ratatui), multi-provider LLM client (OpenAI, Anthropic, Gemini, Bedrock, Copilot, Grok, OpenRouter, …), swarm coordination, plugin platform, hooks, memory, compaction, and more.
  • CI: GitHub Actions (ci.yml, release.yml, freebsd-cross.yml, freebsd-smoke.yml, windows-smoke.yml, require-issue.yml)

See docs/ (100+ design and architecture documents) and AGENTS.md for the full development workflow that was in use.


Archived October 2026. Thank you to everyone who contributed.

About

Independent AI coding agent (Rust TUI). Multi-model, swarm/subagents, agent-tree UX, terminal-native workflow.

Topics

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Contributing

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1 watching

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