Technical Director, take back control of your D365 code quality
Your D365 developments carry technical debt: forgotten over-layering, untested code, ignored conventions. Every Microsoft upgrade becomes a risk.
Technical Director, demand clean D365 F&O code: 0 over-layering, SysTest, XppBP. AI aligns on your in-house conventions. €200/ticket.
Why D365 code quality delivered by SIs stays opaque
- ✗SIs rarely deliver with SysTest unit tests: code is validated in manual UAT, never in CI.
- ✗Naming conventions and Microsoft extension patterns (CoC, event handlers) are applied inconsistently.
- ✗Over-layering is still used at some integrators despite official Microsoft deprecation — creating upgrade debt.
- ✗No systematic code review: Pull Requests merged without XppBP / FxCop / SonarQube gating.
Microsoft-aligned, tested and versioned code — as you would have written it
- ✓Generation exclusively in extension pattern: table extensions, classes, CoC, event handlers. No over-layering.
- ✓SysTest unit tests delivered with every ticket, runnable in your Azure DevOps pipeline.
- ✓Naming and project-structure conventions aligned with YOUR standards (existing-code analysis before generation).
- ✓Code passing XppBP (Best Practice) and FxCop rules enabled in your CI — no post-delivery rework.
How it works
Submit your ticket
Describe the business or technical need in a few lines. No 50-page spec required.
AI generates the extension
X++ code, unit tests and documentation produced in under 48 hours.
Validation on your Azure DevOps
Pull request submitted on your repository. Your IT lead reviews and validates before merge.
Delivered — you pay €200
Once merged, it's delivered. No billing if the ticket isn't resolved.
Why it's worth it for you
100% of delivered code is in a Microsoft-supported extension pattern — your One Version upgrades pass without intervention.
Unit coverage ready to run in your CI pipeline — you can enforce a minimum threshold in your branch policies.
The AI analyzes your existing code to align style (prefixes, organization model, class structure) with your in-house standards.
Frequently asked questions
How does the AI respect my in-house guidelines?+
What happens if the code fails my review?+
Can Skalp AI generate code compliant with Microsoft Acceptance Test Library (ATL)?+
How do I prevent my code from being used to train the AI?+
Related pages
To go deeper on the same topic, seen from other angles.