// Software stack
Coding agent workbench
A terminal coding agent with up-to-date docs lookup, semantic code navigation, a shared rules file and usage tracking.
6 pieces5 setup stepsscenario: Share rules and skills across agents
What goes in it
- 1 ★ 153k
Claude Code Coding agents & AI IDEs Closed / commercial
Main coding agent
Anthropic's terminal coding agent, also available on desktop, web and IDEs.
- 2 ★ 130k
OpenAI Codex optional Coding agents & AI IDEs Open source
Second agent for cross-review
OpenAI's coding agent across CLI, IDE extension, cloud tasks and desktop app.
- 3 ★ 63k
context7 MCP servers & SDKs Open source
MCP server for up-to-date library docs
Context7 Platform -- Up-to-date code documentation for LLMs and AI code editors
- 4 ★ 31k
serena Code intelligence Open source
LSP-based semantic code search and editing
A powerful MCP toolkit for coding, providing semantic retrieval and editing capabilities - the IDE for your agent
- 5 ★ 25k
agents.md Protocols, specs & agent payments Open source
Rules-file convention shared across agents
AGENTS.md — a simple, open format for guiding coding agents
- 6
ccusage Model gateways, routing & usage Open spec
Tracks Claude Code usage and cost
How to set it up
- 01Install Claude Code as the main agent and Codex CLI for second opinions
- 02Write one AGENTS.md at the repo root (build and test commands, conventions) shared by both agents
- 03Add the Context7 MCP server for current library docs and Serena for semantic code navigation
- 04Have the agent run tests before every change, and let the other agent review the diff
- 05Check usage weekly with ccusage to see whether your plan tier fits
✓ Good fit
- Terminal users doing large, multi-step changes
✗ Look elsewhere if
- Prefer in-IDE completion and visual diffs: see the AI coding workflow stack (Cursor)
Similar stacks: what’s different
- AI coding workflowThat one is centred on the Cursor IDE; this one on terminal agents