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.

Krishna Sai Kuncha Krishna Sai Kuncha Experienced Professional Full stack Developer with 8+ years of experience across react, python, js, ts, golang and react-native. Developed inhouse websearch tooling for AI before websearch was solved : ) David Olverson David Olverson Solo dev shipping production apps with AI-assisted development. I specialize in rescuing broken Lovable/Bolt/Cursor builds and taking them to production. 10+ apps shipped including SaaS CRMs, gaming platforms, real estate tools, and Discord bots. Stack: Next.js 16, TypeScript, Tailwind CSS, FastAPI, PostgreSQL, Prisma. I use Claude Code with 50+ custom skills for rapid delivery. Average turnaround: 2-4 weeks from broken prototype to production. hanson1014 hanson1014 Full-stack developer experienced in fixing and deploying AI-generated apps from Lovable, Bolt.new, Cursor, and Replit. I specialize in debugging Supabase integration issues (auth flows, RLS policies, database connections), fixing broken deployments, resolving routing/blank screen problems, and cleaning up messy React/Vite codebases. I also build production apps with the Claude API and have shipped a Mac desktop dev tool (Nexterm from scratch. Based in Hong Kong, fast turnaround. Franck Plazanet Franck Plazanet I am a Strategic Engineering Leader with over 8 years of experience building high-availability enterprise systems and scaling high-performing technical teams. My focus is on bridging the gap between complex technology and business growth. Core Expertise: 🚀 Leadership: Managing and coaching teams of 15+ engineers, fostering a culture of accountability and continuous improvement. 🏗️ Architecture: Enterprise Core Systems, Multi-system Integration (ERP/API/ETL), and Core Database Structure. ☁️ Cloud & Scale: AWS Expert; architected systems handling 10B+ monthly requests and managing 100k+ SKUs. 📈 Business Impact: Aligning tech strategy with P&L goals to drive $70k+ in monthly recurring revenue. I thrive on "out-of-the-box" thinking to solve complex technical bottlenecks and am always looking for ways to use automation to improve business productivity. 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. 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. Stanislav Prigodich Stanislav Prigodich 15+ years building iOS and web apps at startups and enterprise companies. I want to use that experience to help builders ship real products - when something breaks, I'm here to fix it. Richard McSorley Richard McSorley Full-Stack Software Engineer with 8+ years building high-performance applications for enterprise clients. Shipped production systems at Walmart (4,000+ stores), Cigna (20M+ users), and Arkansas Blue Cross. 5 patents in retail/supply chain tech. Currently focused on AI integrations, automation tools, and TypeScript-first architectures. Kingsley Omage Kingsley Omage Fullstack software engineer passionate about AI Agents, blockchain, LLMs. Matt Butler Matt Butler Software Engineer @ AWS

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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

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