AI-Augmented
Engineering

We don't just advise on AI adoption — we build our own products with multi-agent vibe coding, Claude Code, and GitHub Copilot. Let us transform your engineering team into an AI-native force multiplier.

3×
Faster delivery
60%
Less boilerplate
Live
In our production
Multi
Agent workflows
Our Approach

We eat our own cooking

Every Addresser product is built using the same AI-augmented engineering practices we teach. Our engineering team uses Claude Code for component scaffolding, GitHub Copilot for in-editor completion, and structured multi-agent workflows to maintain consistency across two concurrent workstreams. This isn't theory — it's our production methodology.

claude_code_prompt.md — Production example
# Claude Code Prompt — Carrier Adapter

Read CLAUDE.md. Create a new carrier adapter at
app/services/carriers/australia_post_adapter.py
implementing ICarrierAdapter.

Requirements:
- Use httpx.AsyncClient for all HTTP
- Fetch credentials via SecretsCache
- Full Google-style docstrings on every method
- pytest test file with sandbox test cases
- 100% branch coverage on pure methods
🧪

AI Engineering Accelerator

A 4-week intensive that embeds our engineers alongside your team, establishes Claude Code + Copilot workflows, builds your CLAUDE.md briefing files, and sets up the prompt libraries that make AI-generated code consistent and production-quality.

4-week intensive
🔄

Multi-Agent Workflow Design

Design and implement multi-agent development workflows for your specific stack — parallel workstreams, agent handoffs, review gates, and CI/CD integration. We document everything so your team owns the process.

Process design
📋

CLAUDE.md & Prompt Engineering

We audit your codebase and produce production-ready CLAUDE.md files and PROMPTS.md libraries that ensure every AI-generated code block is consistent with your conventions.

Documentation deliverable
🏗

AI-Native Architecture Design

Design systems built to be extended by AI agents — clear interfaces, strong type contracts, and component boundaries that maximise the quality of AI-generated code.

Architecture consulting
📊

Vibe Engineering Maturity Assessment

A structured review of your team's current AI tooling adoption, code generation quality, and prompt engineering practices. Delivers a maturity score and 90-day adoption roadmap.

Assessment
🏫

Engineering Team Training

Hands-on workshops covering effective prompting, agentic coding workflows, AI code review practices, and how to maintain architectural integrity at vibe speed.

Training & workshops

Ready to ship 3× faster?

Talk to our engineers about transforming your development practice.