1. Background ArtisanMint is a platform for digital artists to mint limited-edition NFTs with dynamic royalty distributions. The core smart contract handles minting, metadata storage, and on-chain royalty splits—requiring careful validation to prevent exploits.

2. Challenges

• Complex Test Requirements: Ensuring correct royalty splits across multiple addresses typically took 2–3 hours of manual test writing.

• Security Risks: Edge-case royalty exploits, such as fractional underflows, necessitated thorough audits, often requiring 1–2 days of manual review.

• Deployment Coordination: Consolidating test results and audit feedback into CI/CD pipelines added overhead and potential points of failure.

3. CODI Solution

ArtisanMint incorporated CODI agents to fully automate their launch process:

1. Scaffold Agent: Generated NFT contract boilerplate with metadata structs and royalty parameters via init --template nft-royalty.

2. Audit Agent: Ran AI-driven security checks, identifying potential underflow/overflow in royalty calculations. Findings were automatically surfaced, and critical issues were patched inline using the --fix flag.

3. Test Agent: Auto-created unit and integration tests covering minting, transfers, and royalty distributions, based on Rust doc-comments and IDL.

4. CI/CD Deployment: A single GitHub Actions step—codi deploy --network mainnet—compiled, tested, audited, and deployed the contract.

4. Implementation Details

• Example Commands:

• Configuration Snippet:

  tomlCopyEdit[scaffold]
  template = "nft-royalty"
  
  [audit]
  severity_threshold = "medium"
  fix_on_suggest = true
  
  [test]
  
  

• CI/CD Workflow (GitHub Actions):

5. Results & Metrics

The DataFrame and chart above illustrate the time savings:

• Manual: ~335 minutes total

• CODI: ~3 minutes total

Outcome: CODI enabled a 99% reduction in development and launch time, and eliminated manual audit delays—launching their NFT collection in minutes.

6. Benefits

• Automated Quality Assurance: Tests and security checks ran without manual intervention, ensuring robust contract behavior.

• Cost Savings: Inline AI audits avoided external review fees and reduced developer overhead.

• Rapid Go-Live: A single CI/CD command handled end-to-end launch, improving developer productivity.

• Exploit Prevention: Early detection and auto-fix of royalty edge-case bugs prevented costly on-chain exploits.

7. Lessons Learned

• Inline Fixes: Leveraging --fix in audit-agent accelerates patching but requires trust in AI suggestions.

• Test Coverage: Incorporating doc-comment annotations boosts auto-test relevance and coverage.

• CI/CD Simplicity: Consolidating all steps into one command reduces pipeline complexity and failure points.

Conclusion

ArtisanMint’s case highlights CODI’s ability to streamline NFT contract development end-to-end—auto-generating tests, patching vulnerabilities, and deploying in under five minutes. For any NFT platform looking to eliminate manual reviews and accelerate launches, CODI is the only dev you’ll ever need.