Present findings: open leaderboard, security report for practitioners, and developer tooling integration

[nv78]

Presentation Strategy

Developers and security engineers are the target audience. They need to trust the leaderboard numbers (hence contamination-resistance) and they need to understand the security implications for their teams. Two separate narratives: one for the ML researcher community (the benchmark paper), one for the security/engineering community (the vulnerability report).

Deliverables

1. Public Leaderboard

• Primary column: security-adjusted pass@k alongside functional pass@k
• Show the gap prominently — models where the two scores diverge most are the story
• Include cost-per-solved-task column for budget-conscious practitioners
• Continuous collection: add new tasks monthly to fight contamination

2. Security Vulnerability Report

• Format: annual "State of AI Code Security" report (analogous to Veracode's annual report)
• Title: "The Hidden Security Cost of AI Code Generation: A Benchmark Study"
• Target audience: CISOs, AppSec teams, engineering leaders
• Distribution: Black Hat / DEF CON talk abstract, CISA advisory

3. Developer Tooling Integration

• GitHub Action: codebench-security-check — runs security-adjusted evaluation on a PR
• VS Code extension integration (as a metric alongside Copilot suggestions)
• API for vendors (Copilot, Cursor, Devin) to run continuous benchmarking

4. Academic Presentation

• ICSE demo track: live contamination detection + security scoring demo
• SWE-bench Verified workshop: present contamination findings

Timeline

• Leaderboard site with contamination-resistance claim documented
• Security vulnerability report outline drafted
• GitHub Action MVP built
• ICSE demo abstract drafted