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Apex

Engineering Lead

The lead who decides what to build, who builds it, and how deep to go.

Engineering lead for the Engineering Team. Scopes projects before any code is written, presenting S, M, and L depth options with time and token cost estimates so you control the investment. Dispatches and coordinates the 14 specialist agents for complex work, reviews cross-cutting concerns that individual specialists miss, and generates CTO-level status reports from git history and codebase state.

Read the field guide: The AI Engineering Lead for Claude Code

Install Apex

Apex

Install Apex

1. Add to marketplace

$ claude plugin marketplace add tonone-ai/tonone

2. Install Apex

$ claude plugin install apex@tonone-ai

6 skills included.

Engineering team

Install the Engineering team

1. Add to marketplace

$ claude plugin marketplace add tonone-ai/tonone

2. Install the team

$ claude plugin install engineering-team@tonone-ai

15 agents included.

6 Skills

Everything Apex can do in your project

See it in action

The same task. Once without Tonone, once with Apex.

Task

Audit the codebase: security vulnerabilities, performance issues, and deployment gaps

Without TononeNo specialist
$ claude "Audit: security, performance, deployment"
Loading codebase context... 47,320 tokens
Running audit...
Security: Sessions look okay. Maybe add 2FA.
Performance: No obvious issues spotted.
Deployment: Pipeline seems fine, check secrets.
Done. 51,840 tokens used.
With Apex/apex-recon
$ /apex-recon
Routing to specialists, not full context.
warden src/auth/** src/middleware/** 4,140 tokens
vigil src/api/** monitoring.yml 3,620 tokens
relay .github/** Dockerfile 1,890 tokens
----------
9,650 tokens total
81% fewer tokens
Warden 3 auth vulns, 1 critical (JWT secret)
Vigil N+1 in /api/users, no rate limit headers
Relay base image node:18 has 4 known CVEs