Ccbridge – A CLI to Orchestrate Claude Code and Codex
Multi-agent orchestration for two CLIs, but early-stage and AI-generated codebase raises maintenance concerns.
Turn AI research conversations into structured, buildable projects. Works with Claude Code and Codex.
Conversation-first workflow, but spec-driven AI coding is already a known pattern.
AI-assisted developers using Claude Code or Codex who want to structure research conversations into executable build phases.
Anthropic Prompt Caching · GitHub Issues templates · Mintlify documentation generators
The annoying part was always the distillation and keeping docs and architecture current, so I built Unpack: a lightweight GitHub template plus docs structure and a few commands that turns conversations into phases/specs and keeps project docs up to date as the agent builds. It can also generate Mintlify-friendly end-user docs.
There are other spec-driven workflows and tools out there. I wanted something conversation-first and repo-native: plain markdown phases, minimal ceremony, easy to adapt per stack.
Example generated with Unpack (tiny pokedex plus random monsters):
Demo: https://apresmoi.github.io/pokesvg-codex/
Phases index: https://github.com/apresmoi/pokesvg-codex/blob/main/.unpack/...
I’d love feedback on what the “minimum good” phase/spec format should be, and what would make this actually usable in your workflow.
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Multi-agent orchestration for two CLIs, but early-stage and AI-generated codebase raises maintenance concerns.
No-build-step frontend with SQLite persistence for CLI agent monitoring.
Nested agent summarization cuts token costs ~45% for command-heavy workflows.
Hook-enforced multi-model delegation, but still early and depends on unstable AI API availability.
Educational tutorial for a GitHub Actions + Claude workflow; production solution already exists as Dosu.
Fresh context per phase stops AI agents from reviewing their own work.