gpt-engineer vs cline — Trust Score Comparison
Side-by-side trust comparison of gpt-engineer and cline. Scores based on security, compliance, maintenance, popularity, and ecosystem signals.
Detailed Metric Comparison
| Metric | gpt-engineer | cline |
|---|---|---|
| Trust Score | 58.8/100 | 64.1/100 |
| Grade | C | C+ |
| Stars | 55,203 | 58,568 |
| Category | coding | coding |
| Security | 0 | 1 |
| Compliance | 87 | 100 |
| Maintenance | 1 | 1 |
| Documentation | 0 | 1 |
| EU AI Act Risk | minimal | N/A |
| Verified | No | No |
Verdict
cline leads with a trust score of 64.1/100 compared to gpt-engineer's 58.8/100 (a 5.3-point difference). cline scores higher on security (1 vs 0), compliance (100 vs 87). Both agents should be evaluated based on your specific requirements.
Detailed Analysis
Security
cline leads on security with a score of 1/100 compared to gpt-engineer's 0/100. This score reflects dependency vulnerability analysis, known CVE exposure, and security best practices. A higher security score means fewer known vulnerabilities and better security hygiene in the codebase.
Maintenance & Activity
gpt-engineer demonstrates stronger maintenance activity (1/100 vs 1/100). This metric captures commit frequency, issue response times, and release cadence. Actively maintained tools receive faster security patches and are less likely to accumulate technical debt.
Documentation
cline has better documentation (1/100 vs 0/100). Good documentation reduces onboarding time and helps teams adopt the tool safely. This score evaluates README completeness, API documentation, code examples, and tutorial availability.
Community & Adoption
gpt-engineer has 55,203 GitHub stars while cline has 58,568. Both tools have comparable community sizes, suggesting similar levels of ecosystem support and third-party resources.
When to Choose Each Tool
Choose gpt-engineer if you need:
- Consider if it better fits your specific use case
Choose cline if you need:
- Higher overall trust score — more reliable for production use
- Stronger security profile with fewer known vulnerabilities
- Larger community (58,568 vs 55,203 stars)
- Better documentation for faster onboarding
Switching from gpt-engineer to cline (or vice versa)
When migrating between gpt-engineer and cline, consider these factors:
- API Compatibility: gpt-engineer (coding) and cline (coding) share similar interfaces since they are in the same category.
- Security Review: Run a security audit after migration. Check the gpt-engineer safety report and cline safety report for known issues.
- Testing: Ensure your test suite covers all integration points before switching in production.
- Community Support: gpt-engineer has 55,203 stars and cline has 58,568. Larger communities typically mean better Stack Overflow answers and migration guides.
Related Pages
Frequently Asked Questions
Related Comparisons
Last updated: 2026-05-28 | Data refreshed weekly
Disclaimer: Nerq trust scores are automated assessments based on publicly available signals. They are not endorsements or guarantees. Always conduct your own due diligence.