Phalanx CLI coordinates multiple AI agents for automated code-review cycles

Multi-Agent CLI for Automated Code Review
A developer has open-sourced Phalanx, a command-line interface that coordinates multiple AI agents from different providers to automate the code-review-fix cycle. The tool assigns specific roles to different models: Codex handles the actual coding for speed and throughput, Claude Opus performs code review to catch issues like race conditions and spec drift, and a Claude Sonnet agent orchestrates the entire process.
Key Implementation Details
Users define a team configuration file that assigns models to specific roles, then Phalanx runs the automated review loop. The developer built version 2 of Phalanx using Phalanx itself as a stress test, noting several practical challenges:
- Agents can die mid-task due to context limits
- Timeouts kill long reviews
- Retry logic adds significant complexity
- The review loop runs autonomously once agents remain stable
Codebones: Repository Compression Tool
To address token efficiency issues, the developer created Codebones, a companion tool that compresses repositories into structural maps. Instead of including full implementation bodies, Codebones generates:
- File tree structure
- Function signatures
This allows AI agents to understand the codebase shape without consuming excessive tokens. In testing, Codebones compressed a 177,000-token repository down to 30,000 tokens.
Cost and Limitations
Both tools run on $20/month flat plans with no additional API costs, compared to approximately $750/month the developer was spending on Cursor previously. Several important caveats were noted:
- Rate limits from both AI providers require careful batching
- Task scoping is critical—vague tasks produce poor results
- The approach is overkill for small fixes
- This setup works best for substantial code changes
The developer is exploring whether others are coordinating multiple AI providers or if most developers are sticking with single-provider solutions.
Source Information
Both tools are open source:
- Phalanx: github.com/creynir/phalanx
- Codebones: github.com/creynir/codebones
📖 Read the full source: r/ClaudeAI
👀 See Also

Claude's 171 Internal Emotion Vectors Influence Output: Toolkit Based on Anthropic Research
Anthropic's research paper reveals Claude has 171 internal activation patterns that function like emotion vectors, causally driving its behavior before it writes. A developer created a toolkit with 7 practical prompting principles and system prompts based on these findings.

Marky: A Lightweight Markdown Viewer for Agent-Generated Documentation
Marky is a desktop markdown viewer built with Tauri v2 and React that opens .md files from the terminal with live reload. It features CLI-first usage, syntax highlighting with Shiki, KaTeX math support, Mermaid diagrams, and workspaces for folders.

Mastering Antropic Subscription Modes: Haiku, Sonnet, and Opus
Explore Antropic's innovative subscription modes—Haiku, Sonnet, and Opus—designed to enhance your AI coding experience with tailored features and pricing.

OpenClaw Budget Guard Plugin Prevents Concurrent Budget Overspend
A new OpenClaw plugin called @runcycles/openclaw-budget-guard solves concurrent budget overspend by implementing atomic balance checks, reservation before execution, and idempotent retries. It requires a Cycles server with Redis and can be installed via bash command.