AI-powered development.
Your developers are good — AI makes them faster.
AI doesn’t replace a good Magento developer. It allows them to do in one hour what used to take a full day, without cutting corners on quality, without creating technical debt. That’s what augmented development means: keeping human judgement at the centre, and delegating to AI everything that can be delegated.
At ATI4, we’ve been practising this since 2023 on our own projects. We now support our clients so that their technical teams gain the same capabilities — with the tools best suited to their context, not necessarily all the same ones.
Tools at the service of your teams.
We work with several tools depending on the needs, preferences and technical constraints of your teams. No single tool is the right answer for every project.
- OpenAI Codex: The historical reference for code assistance. Solid on multi-language code generation, automation scripts and environments where the OpenAI ecosystem is already in place.
- Claude and Claude Code: Our primary tool. Claude Code acts directly within your development environment. It reads your files, analyses your Magento codebase, generates modules, writes tests, documents. Connected to your tools via MCP. Our default choice on Adobe Commerce projects.
- Gemini Code Assist: Relevant for teams already in the Google Cloud or Google Workspace ecosystem. Native IDE integration, real-time code assistance, understanding of large codebases.
What we set up for your teams.
- Codebase analysis and understanding. A developer joining a project can understand a complex Magento architecture in one hour with AI — where it would take a full day without. We configure the tools so your teams can query their own codebase.
- Module and code generation. Generation of Magento modules, migration scripts and API connectors, from functional specifications or existing code. Always reviewed and validated by a developer. AI accelerates, humans validate.
- Automated testing. Our QA team is trained in generating test plans, acceptance scenarios and automated test scripts with AI. Regression cases are identified faster, coverage is broader, and test cycles are reduced.
- Technical documentation. Automatic generation of functional and technical documentation from existing code. What used to take two hours per module now takes fifteen minutes.
- Assisted code review. Pull request analysis, anomaly detection, identification of performance or security issues. An automatic first filter before human review.
Our support.
We continue to support you after delivery: we configure, train and adjust.
- Maturity audit: We assess where your teams stand, which tools are already in place, and which use cases would be most impactful immediately.
- Configuration and integration: Setting up the tools in your team’s development environment. Connection via MCP to your Adobe Commerce platforms, Akeneo and your ERP.
- Training: Practical sessions calibrated to the real use cases of your developers, project managers and QA teams. No generic theory — exercises on your projects, your code, your tools.
- Follow-up: We remain available after implementation to adjust, answer questions and evolve usage as the tools’ capabilities develop.
We also train your teams.
Deploying AI on your project isn’t enough if your teams don’t know how to use it. We train your developers, project managers, POs and marketing teams in the practical use of Claude in their day-to-day work, with use cases drawn from real e-commerce projects, led by practitioners who use it in production every day.
Available in person in Strasbourg or remotely, within two weeks. OPCO funding possible.
Ready to deploy AI on your e-commerce project ?
A 30-minute conversation to identify your first 3 quick wins.