Built with Copilot Workspace?
Let's make sure it's production-ready.
GitHub's AI workspace that plans and implements multi-file code changes across repositories, generating pull requests with coordinated changes that address issues or implement features end-to-end. We help non-technical founders identify and fix the issues AI tools leave behind.
Common issues we find in Copilot Workspace code
These are real problems we see in Copilot Workspace projects during our audits — not hypotheticals.
Cross-file changes introduce inconsistencies between implementation and interface definitions
When Copilot Workspace makes changes across multiple files, it can update an implementation without updating a shared interface or type definition, or update a type without updating all the call sites that depend on it, leaving the codebase in an inconsistent state.
Generated PRs are difficult to review as a coherent unit of change
Multi-file changes from Copilot Workspace often interleave meaningful changes with formatting or whitespace changes, and the PR diff can be large enough that reviewers approve without fully understanding the coordinated logic across files.
Security-sensitive changes made without flagging for mandatory human review
Copilot Workspace may modify authentication middleware, authorization logic, or input validation as part of a broader feature change without flagging these security-sensitive files for extra review, letting them through the same review process as non-sensitive changes.
Tests not updated when implementation changes break existing test assumptions
When Workspace modifies application logic, it may not update tests that were written against the old behavior — causing tests to fail or, worse, silently passing with incorrect expectations after the PR is merged.
Dependency version conflicts introduced when adding new packages to existing projects
Copilot Workspace may suggest adding a package version that conflicts with existing pinned dependencies, causing package manager conflicts that fail the build after the PR is merged.
Performance regressions from generated code changes not caught before PR merge
Multi-file changes that affect data access patterns, introduce additional network requests, or change caching behavior can introduce performance regressions that are not visible in a static code review of the PR diff.
Generated implementation plan does not account for database migration requirements
When a feature requires a database schema change, Copilot Workspace may generate the application code for the new schema without generating the migration script, leaving the deployed code to fail against the old schema.
Git history is polluted by AI-generated commits that mix unrelated changes
PRs from Copilot Workspace sometimes bundle unrelated changes into a single commit or PR, making it harder to use `git bisect` or `git log` to trace the introduction of a bug to a specific minimal change.
How we can help with your Copilot Workspace project
From security reviews to deployment, we cover everything you need to go from prototype to production.
Security Review
Deep security analysis and hardening
Fix Bugs
Resolve issues and unexpected behavior
Deploy & Ship
Get your Copilot Workspace app to production
Refactor Code
Clean up AI-generated or legacy code
Performance
Make your Copilot Workspace app faster and more efficient
Add Features
New functionality, integrations, capabilities
Testing
Add tests and improve coverage
Infrastructure
Set up and manage your Copilot Workspace backend
Start with a self-serve audit
Get a professional review of your Copilot Workspace project at a fixed price. Results reviewed by experienced engineers.
Security Scan
Black-box review of your public-facing app. No code access needed.
- OWASP Top 10 checks
- SSL/TLS analysis
- Security headers
- Expert review within 24h
Code Audit
In-depth review of your source code for security, quality, and best practices.
- Security vulnerabilities
- Code quality review
- Dependency audit
- AI pattern analysis
Complete Bundle
Both scans in one package with cross-referenced findings.
- Everything in both products
- Cross-referenced findings
- Unified action plan
100% credited toward any paid service. Start with an audit, then let us fix what we find.
How it works
Tell us about your app
Share your project details and what you need help with.
Get a clear plan
We respond in 24 hours with scope, timeline, and cost.
Launch with confidence
We fix what needs fixing and stick around to help.
Frequently asked questions
How is Copilot Workspace different from regular GitHub Copilot?
Regular Copilot provides inline completions and chat in your editor. Copilot Workspace operates at a higher level — you describe a task or point it to a GitHub issue, and it creates a plan and implements changes across multiple files, then opens a PR. It is designed for feature-level tasks rather than line-by-line completion.
Can Copilot Workspace work on our private repositories safely?
Yes — Copilot Workspace works with private GitHub repositories using your GitHub authentication. Your code is sent to GitHub's AI infrastructure under GitHub's data handling terms. GitHub's enterprise agreements include provisions about code not being used for model training. Verify your organization's Copilot settings in the GitHub organization admin panel.
How should we set up a code review process for Copilot Workspace PRs?
Treat Copilot Workspace PRs like junior developer PRs — require at least one human approval, require CI to pass, and use GitHub's required reviewers for PRs that touch security-sensitive paths. Add CODEOWNERS rules to auto-request senior reviewer attention on auth, payments, and data access files. The generated implementation plan included in the PR description is useful context for reviewers.
Does Copilot Workspace update tests automatically when it changes implementation code?
Copilot Workspace attempts to update tests as part of its implementation plan, but the quality is inconsistent. Always check that existing tests still pass after a Workspace PR and verify that new tests actually test the new behavior rather than just mirroring the implementation. Running the test suite as a CI requirement before merge is essential.
What types of tasks is Copilot Workspace best suited for?
Copilot Workspace performs best on well-defined, bounded tasks — implementing a feature described in a GitHub issue, adding a new API endpoint following existing patterns, or refactoring a specific module. It struggles with vague tasks, tasks requiring architectural decisions, and changes that need domain knowledge about business requirements. The more specific and concrete the task description, the better the output.
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