AI coding assistants have changed how fast software gets written. They haven't changed what a regulated institution needs to know: who asked for it, why it was built that way and who approved it. AIDE gives your delivery teams the speed of AI and keeps that record.
AI writes code fast, but without structure nothing records why that code exists or who asked for it.
Every team and every project ends up inventing its own way of working with AI.
Reviewers can’t keep up, and audit and risk teams are left rebuilding decisions after the fact.
AIDE (AI Integrated Delivery Enablement) is our implementation of the Model 2 spec-driven approach. It's a library of codified AI skills that guides the coding assistants your teams already use through every stage of delivery, from requirements to a reviewed pull request.
Work moves through requirements, design, planning, build and quality, and each stage hands an approved package to the next.
Nothing moves forward until it passes review.
Every piece of work gets an AI check and then a human review before it's accepted.
Every line of code links back to the requirement that asked for it.
Every accelerator on this page started as a problem we needed to solve. If you’re facing a similar one, we’ll show you the working version and help you judge whether it fits.
A live 30-minute walkthrough of any accelerator on synthetic data, with the engineers who built it.
A working session to match your use case to what the lab has proven, and to be clear about what it hasn’t.
A time-boxed pilot in your environment, with the evidence trail your risk team will ask for.
