Cursor integration

CI/CD Pipeline Failing on Cursor-Generated Code

Code that Cursor generated works locally but fails your CI/CD pipeline. GitHub Actions, GitLab CI, CircleCI, or another automation platform reports lint errors, type check failures, broken tests, or build errors on code that runs perfectly on your development machine.

This is a common disconnect between AI-assisted development and automated quality gates. Cursor generates code that compiles and runs but may not pass strict linting rules (ESLint, Prettier), type checking (TypeScript strict mode), or existing tests. The development experience is smooth because you might have less strict local settings or skip running the full test suite.

The pipeline failure blocks deployments and forces you to retroactively fix issues that could have been caught earlier, often requiring multiple fix-and-push cycles that slow down your delivery.

Error Messages You Might See

ESLint: 23 problems (15 errors, 8 warnings) error TS2322: Type 'string | undefined' is not assignable to type 'string' Jest: 5 tests failed, 12 passed Module not found: Can't resolve './components/Header' Prettier: Code style issues found in 8 files
ESLint: 23 problems (15 errors, 8 warnings)error TS2322: Type 'string | undefined' is not assignable to type 'string'Jest: 5 tests failed, 12 passedModule not found: Can't resolve './components/Header'Prettier: Code style issues found in 8 files

Common Causes

  • Linting rules stricter in CI — CI runs ESLint/Prettier with the project's full rule set, while your local editor might have relaxed settings or auto-fix on save that masks issues
  • TypeScript strict mode in CI only — The pipeline runs tsc --noEmit with strict settings, catching any types, unused variables, and implicit returns that Cursor generates
  • Missing test updates — Cursor changed implementation code but didn't update corresponding test files, causing test assertions to fail
  • Different Node/Python/runtime version — CI uses a specific runtime version that differs from your local environment, causing syntax or API incompatibilities
  • Missing environment variables — Build-time environment variables available locally aren't configured in the CI environment
  • Import path case sensitivity — macOS file system is case-insensitive but CI Linux runners are case-sensitive, so import './Components/Header' works locally but fails in CI

How to Fix It

  1. Run the full CI checks locally before pushing — Add a script like "ci": "npm run lint && npm run typecheck && npm run test" to package.json and run it before committing Cursor's changes
  2. Fix linting issues with auto-fix — Run npx eslint --fix . and npx prettier --write . to automatically resolve formatting and style issues
  3. Match local and CI runtime versions — Use .nvmrc, .python-version, or .tool-versions to pin the same runtime version locally and in CI
  4. Configure Cursor rules for your project — Add a .cursorrules file that instructs the AI to follow your linting rules, use strict TypeScript types, and maintain consistent import casing
  5. Add pre-commit hooks — Use Husky and lint-staged to run linting and type checking on staged files before each commit, catching issues immediately
  6. Check import path casing — Verify all import paths match the exact file/directory casing. Use ESLint plugin eslint-plugin-import with the no-unresolved rule

Real developers can help you.

Simon A. Simon A. I'm a backend developer building APIs, emulators, and interactive game systems. Professionally, I've developed Java/Spring reporting solutions, managed relational and NoSQL databases, and implemented CI/CD workflows. Jacek Rozanski Jacek Rozanski Senior PHP/Symfony developer and DevOps engineer with 20+ years of professional experience, running opcode.pl (web development agency, est. 2004). Day job: I'm the sole backend developer at merketing company where I own and maintain 11 PHP/Symfony microservices on AWS (ECS Fargate, RDS, S3, CloudFront), handle the full CI/CD pipeline (Bitbucket Pipelines, Docker), and manage monitoring with Sentry and CloudWatch. These services handle high request volumes in production every month. What I bring to AI-built apps: - I audit and fix security issues (OWASP methodology), performance bottlenecks, and architectural problems in codebases generated by Cursor, Claude Code, Lovable, Bolt, and v0 - I refactor AI-generated prototypes into production-grade applications with proper error handling, testing, and clean architecture (SOLID, DDD, hexagonal architecture) - I set up the infrastructure AI tools don't touch: AWS hosting, CI/CD pipelines, automated deployments, database optimization, monitoring, and alerting - I integrate external services: payment providers, email systems, partner APIs, SSO/auth Tech stack: PHP 8.x, Symfony, React, Next.js, PostgreSQL, MySQL, Docker, AWS (ECS, RDS, S3, SQS/SNS, CloudFront), Terraform, Supabase. I also use AI tools daily (Claude Code, Cursor) in my own workflow, so I understand both the strengths and the gaps in AI-generated code. Based in Poland (CET timezone). Available for async work and calls during EU/US business hours. Tejas Chokhawala Tejas Chokhawala Full-stack engineer with 5 years experience building production web apps using React, Next.js and TypeScript. Focused on performance, clean architecture and shipping fast. Experienced with Supabase/Postgres backends, Stripe billing, and building AI-assisted developer tools. BurnHavoc BurnHavoc Been around fixing other peoples code for 20 years. Alvin Voo Alvin Voo I’ve watched the tech landscape evolve over the last decade—from the structured days of Java Server Pages to the current "wild west" of Agentic-driven development. While AI can "vibe" a frontend into existence, I specialize in the architecture that keeps it from collapsing. My expertise lies in the critical backend infrastructure: the parts that must be fast, secure, and scalable. I thrive on high-pressure environments, such as when I had only three weeks to architect and launch an Ethereum redemption system with minimal prior crypto knowledge, turning it into a major revenue stream. What I bring to your project: Forensic Debugging: I don't just "patch" bugs; I use tools like Datadog and Explain Analyzers to map out bottlenecks and resolve root causes—like significantly reducing memory usage by optimizing complex DB joins. Full-Stack Context: Deep experience in Node.js and React, ensuring backends play perfectly with mobile and web teams. Sanity in the Age of AI: I bridge the gap between "best practices" and modern speed, ensuring your project isn't just built fast, but built to last. Rudra Bhikadiya Rudra Bhikadiya I build and fix web apps across Next.js, Node.js, and DBs. Comfortable jumping into messy code, broken APIs, and mysterious bugs. If your project works in theory but not in reality, I help close that gap. Jared Hasson Jared Hasson Full time lead founding dev at a cyber security saas startup, with 10 yoe and a bachelor's in CS. Building & debugging software products is what I've spent my time on for forever Kingsley Omage Kingsley Omage Fullstack software engineer passionate about AI Agents, blockchain, LLMs. Vlad Temian Vlad Temian 15+ years shipping production infrastructure for startups. Former CTO at qed.builders (acquired by The Sandbox). Cursor ambassador and agentic tooling builder. I've scaled systems, automated deployments, and built observability tools for AI coding workflows. I specialize in taking vibe-coded apps from broken prototype to production-ready: fixing Supabase auth/RLS, Stripe integrations, deployment pipelines, and cleaning up AI-generated spaghetti. I build tools in this space (agentprobe, claudebin, micode) and understand both sides: how AI generates code and why it breaks. https://blog.vtemian.com/ zipking zipking I am a technologist and product builder dedicated to creating high-impact solutions at the intersection of AI and specialized markets. Currently, I am focused on PropScan (EstateGuard), an AI-driven SaaS platform tailored for the Japanese real estate industry, and exploring the potential of Archify. As an INFJ-T, I approach development with a "systems-thinking" mindset—balancing technical precision with a deep understanding of user needs. I particularly enjoy the challenge of architecting Vertical AI SaaS and optimizing Small Language Models (SLMs) to solve specific, real-world business problems. Whether I'm in a CTO-level leadership role or hands-on with the code, I thrive on building tools that turn complex data into actionable value.

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Frequently Asked Questions

How do I make Cursor follow my project's linting rules?

Create a .cursorrules file in your project root with instructions like: 'Follow ESLint and Prettier rules. Use TypeScript strict mode. Never use any type. Always add return types to functions.' Cursor will reference this file when generating code.

Should I fix CI failures manually or regenerate with Cursor?

For simple lint/format issues, run the auto-fix tools (eslint --fix, prettier --write). For type errors or test failures, it's often faster to fix manually than to prompt Cursor again, as AI may introduce new issues while fixing old ones.

Related Cursor Issues

Can't fix it yourself?
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