AI Auditor
Audit your product, codebase, workflows, UX, and integrations to identify risks, gaps, and improvement opportunities.
AI Engineering Systems
Use AI to audit, review, and improve your product without risking production quality
DevsCrew helps teams build AI-assisted workflows for code reviews, product audits, QA checks, documentation, implementation planning, and engineering decision-making.
- Human-reviewed AI workflows
- Safer code review and QA systems
- Practical prompts for real codebases
- Built for React, Next.js, Node.js, Sharetribe, mobile apps, and marketplaces
AI Auditor
AI Code Reviewer
QA Assistant
Product Workflow Reviewer
Prompt System Builder
AI tools and workflows we can build around your team
AI Code Reviewer
Review pull requests, implementation plans, and code changes with structured AI checks and human-readable review summaries.
AI QA Assistant
Generate test plans, bug reproduction steps, edge-case checks, and QA notes from tickets, screenshots, and product flows.
AI Product Workflow Reviewer
Analyze product flows such as checkout, booking, onboarding, messaging, payouts, and admin operations before users hit problems.
AI Prompt System Builder
Create reusable prompt systems for Cursor, Claude, ChatGPT, and internal engineering workflows.
AI Documentation Assistant
Turn product decisions, tickets, code changes, and implementation notes into clear technical documentation.
AI is useful only when it is structured around real engineering work
AI can speed up development, but it can also create fragile code, unclear changes, missing tests, and production risk if it is used without structure. Our approach uses AI as a controlled assistant for audits, reviews, QA, documentation, and planning, not as an unchecked replacement for engineering ownership.
The Problem
- AI-generated code often misses project context
- Large pull requests become hard to review
- Tickets lack clear testing instructions
- Edge cases are discovered too late
- Teams repeat the same QA and review work manually
- Product decisions are not documented properly
The Solution
- Codebase-aware review workflows
- Prompt templates for repeatable outputs
- Human-readable risk summaries
- QA checklists tied to real user flows
- Clear implementation plans before development
- Documentation generated from actual project context
AI Auditor
Find product, UX, code, and workflow risks before they become expensive problems.
Audit my productOverview
AI Auditor helps review your product and codebase across user journeys, frontend implementation, backend flows, integrations, analytics, SEO, and operational edge cases. It is useful before launch, before a major release, after taking over a project, or when a product has become difficult to maintain.
What it can audit
- Product flows
- UI/UX consistency
- Code structure
- API and integration logic
- Payment and booking flows
- Sharetribe transaction processes
- Mobile app readiness
- SEO and content gaps
- Analytics tracking
- Admin workflows
Deliverables
- Audit summary
- Risk report
- Priority list
- Suggested fixes
- Implementation roadmap
- QA checklist
AI Code Reviewer
Make code reviews faster, clearer, and safer with structured AI-assisted review workflows.
Improve code reviewsOverview
AI Code Reviewer helps teams review code changes with consistent checks for bugs, edge cases, readability, regressions, security risks, missed tests, and project conventions. It can support GitHub pull requests, Cursor workflows, Claude reviews, and internal engineering handoffs.
What it reviews
- Pull requests
- Feature branches
- Bug fixes
- Refactors
- API changes
- Frontend components
- Backend services
- Test coverage
- TypeScript safety
- Accessibility issues
Deliverables
- Review summary
- Risk highlights
- Suggested improvements
- Missing test cases
- Regression checklist
- PR-ready notes
Overview
AI QA Assistant creates testing instructions based on real product behavior. It helps QA teams and developers test the right things, including edge cases, user roles, permissions, payments, bookings, email notifications, mobile responsiveness, and production scenarios.
What it creates
- Test cases
- Bug reproduction steps
- Acceptance criteria
- Regression checklists
- Browser/device coverage
- Role-based testing notes
- Payment and transaction edge cases
Deliverables
- QA checklist
- Test scenarios
- Bug report format
- Release testing plan
- Edge-case coverage
AI Product Workflow Reviewer
Review complex product journeys before they break in production.
Review our workflowsOverview
This service focuses on complete user journeys rather than isolated screens. It helps teams inspect checkout, booking, onboarding, listing creation, messaging, payouts, rescheduling, cancellation, notifications, and admin flows.
Workflows reviewed
- Marketplace checkout
- Booking and availability
- Offers and messaging
- Listing creation
- Subscription flows
- Seller onboarding
- Payment and payout flows
- Admin dashboards
- Mobile onboarding
- Notifications and emails
Deliverables
- Journey map review
- Risk areas
- Missing states
- Empty/error state recommendations
- Operational edge cases
- Improvement plan
AI Prompt System Builder
Create reusable prompts and rules that help your team use AI consistently.
Build our prompt systemOverview
Instead of writing one-off prompts every time, we create reusable prompt systems for development, QA, code review, product planning, estimation, PR summaries, and documentation. These prompts can be used in Cursor, Claude, ChatGPT, and internal team processes.
Prompt systems
- Feature implementation prompts
- Bug fix prompts
- Code review prompts
- QA prompts
- PR summary prompts
- Estimation prompts
- Release note prompts
- Documentation prompts
- AI usage guardrails
Deliverables
- Prompt library
- Usage instructions
- Team workflow guide
- Codebase rules
- Review checklist
- AI safety guidelines
AI Documentation Assistant
Turn project knowledge into documentation your team can actually use.
Improve documentationOverview
AI Documentation Assistant helps convert scattered tickets, Slack updates, PRs, implementation notes, and product decisions into clear documentation for developers, clients, QA teams, and future maintainers.
Documentation types
- Feature documentation
- Product flow documentation
- API notes
- Setup guides
- QA guides
- Release notes
- Client handoff documents
- Developer onboarding docs
Deliverables
- Structured docs
- Setup instructions
- Workflow explanations
- Release summaries
- Maintenance notes
- Knowledge base content
Why build AI engineering workflows with DevsCrew?
We understand real product development
We work with complex marketplaces and transaction flows
We know when AI helps and when human review is required
We focus on practical outcomes, not hype
We can support both product and engineering teams
We build workflows that are reusable, documented, and maintainable
AI Engineering Systems FAQs
Can you review AI-generated code?
Yes. We can help review AI-generated code, but we do not recommend shipping AI-generated code without human review, testing, and project-specific validation.
Can this work with Cursor and Claude?
Yes. We can create workflows and prompt systems for Cursor, Claude, ChatGPT, and other AI-assisted development tools.
Can you audit an existing codebase?
Yes. We can audit product flows, code structure, integrations, frontend components, backend logic, and release readiness.
Can AI help with QA?
Yes. AI can help generate test cases, regression checklists, bug reproduction steps, and edge-case scenarios when the product context is clear.
Can this replace developers?
No. The goal is to support developers, not replace them. AI is most useful when it improves planning, review, QA, and documentation.
Can you set up prompts for our team?
Yes. We can create reusable prompts, codebase rules, QA templates, PR summary formats, and documentation workflows.
Is this useful for Sharetribe projects?
Yes. It is especially helpful for Sharetribe projects with custom transaction processes, payment flows, booking logic, listing workflows, and integrations.
How do we get started?
Book an AI workflow audit and we can review your current process, codebase, and product needs.
Want AI to improve your workflow without creating production risk?
We can help you audit your product, review your code, improve QA, document workflows, and set up practical AI systems your team can use safely.