Single public service
AI Development Workflow Audit for AI-Assisted Software Teams
WinMedia reviews AI-assisted development workflows and codebase evidence to identify architecture drift, validation gaps, maintainability risks, and review-boundary problems before more implementation effort compounds the risk.
This audit stays bounded and evidence-based: it reviews the workflow, the codebase, and the decision boundaries before more AI-generated work accumulates avoidable risk.
What the audit inspects
The audit looks at the system of work around the code, not just isolated snippets.
- AI-assisted development workflow
- AI-generated code quality and risk
- repo and codebase structure
- architecture alignment
- tests and validation posture
- side effects and integrations
- release and deployment boundaries
- prompt and task workflow
- human review ownership
- AI-built MVP maintainability concerns
Who should request it
The audit is for teams that need enough technical clarity to make the next responsible decision.
- technical founders
- small development teams
- teams using AI coding tools
- teams working with AI-generated or AI-assisted code
- teams uncertain whether architecture, testing, and review practices remain under control
- teams seeking an external review before more implementation effort
What evidence is reviewed
The audit uses repo and workflow evidence, not assumptions or provider status alone.
- repo structure
- selected codebase evidence
- validation commands and results
- test posture
- task and prompt workflow
- architecture notes
- release boundaries
- known limitations
- human review practices
What the client receives
The deliverable is a written decision aid, not a promise to take over the build.
- written findings report
- risk map or risk categories
- validation and test-gap analysis
- workflow recommendations
- repo-readiness notes
- prioritized next-step recommendations
- limitations and evidence notes
What the audit does not include
These boundaries protect the audit from turning into an implied implementation or production-support offer.
- implementation sprint
- rescue sprint
- hardening sprint
- production repair
- deployment
- ongoing advisory
- retainer
- fractional CTO service
- done-for-you build work
- app rebuild
- guaranteed repair
- guaranteed production readiness
- legal/compliance/security certification
How to prepare for intake
Keep the intake at the workflow and system level, and avoid secrets or proprietary source code.
- summarize the project
- identify AI coding tools used
- describe current workflow concerns
- describe validation and test posture
- identify repo-review readiness
- state the desired audit outcome
- avoid submitting secrets or proprietary source code through the public form
After the audit
After the audit, you receive a written report and practical next-step recommendations. Implementation services are not currently part of the public offer.
Start the audit intake
Use the intake form to describe the project, the AI tools in use, the workflow concerns, and the decision you need the audit to support.