A Last Mile Solutions Tool

Your AI code, under the microscope.

AI generates code fast. But without clear instructions, the output is unpredictable. Discover where your AI-built app could silently fail.

Start the Free Diagnostic →

We're not anti-AI. We're for a new job description — one where you guide, audit, and harden what AI generates.

~/teardowns/TD-014.md

$ Real AI-generated code failures with side-by-side hardened fixes. Learn from production incidents before they happen to you.

Explore Teardowns →
~/guide/directing-the-agent.md

$ Engineering judgment for directing your AI coding agent — what to specify, what to verify, and what to keep under human control.

Read the Guide →
~/guide/engineering-…-environment.md

$ Engineering the environment your agent runs in — enforced permissions, prompt-injection defense, tool governance, and separate delivery authority.

Read the Environment Guide →

# in the wild

~/in-the-wild/github-copilot-rust.md

$ Porting code is easy. Making it correct is hard.

— Stephen Toub — GitHub Copilot runtime Rust migration

GitHub ported the Copilot runtime from TypeScript to Rust — over 800,000 lines across 128 pull requests, driven mostly by one engineer working with AI agents. The only thing standing between them and silent regressions was the test oracle.

832k lines of Rust128 pull requests135 releases in 14.5 weeks1 engineer + agents

How It Works

1

Run the 35-Question Diagnostic

Answer questions across 4 pillars — Security, Runtime, Architecture, and QA. Get a real-time risk score as you go.

2

Study Your Results & Decide

Review your report. Is your codebase a prototype that needs hardening, a ticking refactoring debt, or genuinely production-ready? The score doesn't lie.

3

Get It Fixed by Last Mile

If the report raises red flags, Last Mile Solutions offers hands-on hardening sprints, architecture reviews, and full remediation — from audit to deployment.

Visit Last Mile Solutions→