Goal
CodeBench has two distinct news angles — contamination and security — each of which can independently generate significant press. Combine them and you have one of the most provocative stories in AI: "The benchmark everyone uses is compromised, and the models that score best are the most dangerous."
Channel 1: Developer Community (Primary Audience)
Technical Blog Posts (Publish as a Series)
- "HumanEval Is Broken: The Contamination Problem in Code Benchmarks" — this will be widely shared; it challenges a sacred cow in the field
- "AI Code Generation and Security: The Benchmark Nobody Was Running" — introduces security-adjusted pass@k
- "We Analyzed 10,000 AI-Generated Code Samples for Security Vulnerabilities. Here's What We Found" — the data post
- "The Cost of AI Code: Pass@t and What It Means for Your Token Budget" — practical post for cost-conscious teams
Distribution: dev.to, Hacker News, GitHub Blog pitch, The Pragmatic Programmer newsletter
Hacker News Strategy
- The contamination angle will reliably go viral on HN ("Ask HN: Is every code benchmark contaminated?")
- Title: "Show HN: CodeBench — Contamination-Resistant and Security-Aware Code Generation Benchmark"
- Time it for Tuesday morning Pacific (peak HN traffic)
- Have 3-5 friends ready to upvote and comment immediately to get initial traction
Developer YouTube / Podcast
- Lex Fridman Podcast: cold email pitch with the contamination + security finding — this is exactly the kind of provocative AI story Lex covers
- MLST (Machine Learning Street Talk): technical AI podcast; code generation is a frequent topic
- Latent Space Podcast (swyx & Alessio): very popular with AI engineers; reach out for a guest appearance
- YouTube: "Every AI Coding Benchmark Is Lying to You" — provocative title; 10-min explainer video
GitHub Community
- Post to awesome-code-generation repo as a resource
- File issues on SWE-bench / HumanEval GitHub: "Related work: contamination-resistant evaluation" — this gets noticed by maintainers
- GitHub Universe conference: apply for talk slot about AI code quality and security
Channel 2: Security Community
Security Conference Submissions
- DEF CON AI Village — the perfect venue for "AI code generation security vulnerabilities"; talk or workshop
- Black Hat Briefings — "AI-Generated Code: The New Attack Surface" — security researchers will engage heavily
- RSA Conference — enterprise security; CISO audience cares about AI code security risk
Security Practitioner Content
- Snyk blog / Veracode blog: they already publish vulnerability research; offer co-authorship or cross-promotion of the security findings
- OWASP newsletter/blog: frame the CWE taxonomy as an extension of OWASP to AI code generation
- CISA: submit findings as a vulnerability research report; they have published advisories on AI code security
Twitter/X Security Community
- @thegrugq, @SwiftOnSecurity, @danielmiessler — influential security community voices
- Tweet thread: "We tested 15 AI coding tools for the OWASP Top 10. Here's the ranking." (with visualization)
- The security community will amplify this organically
Channel 3: Enterprise / Compliance
CISO / Engineering Leader Content
- Pitch angle: "Every company using AI code generation has an unknown security exposure. CodeBench can measure it."
- Target: CSO Online, Dark Reading, SC Magazine (all cover enterprise security)
- The GitHub Action integration (continuous security evaluation) is a concrete product these audiences understand
Analyst Briefings
- Gartner (DevSecOps coverage) — brief on AI code generation security risk
- Forrester (Security & Risk) — the vulnerability rate finding is a Forrester report topic
Metrics to Track
- HN points on launch day (target: 500+)
- GitHub stars (target: 2000 in 3 months for a security-adjacent benchmark)
- Security conference talk acceptance
- Snyk/Veracode co-promotion engagement
Timeline
Goal
CodeBench has two distinct news angles — contamination and security — each of which can independently generate significant press. Combine them and you have one of the most provocative stories in AI: "The benchmark everyone uses is compromised, and the models that score best are the most dangerous."
Channel 1: Developer Community (Primary Audience)
Technical Blog Posts (Publish as a Series)
Distribution: dev.to, Hacker News, GitHub Blog pitch, The Pragmatic Programmer newsletter
Hacker News Strategy
Developer YouTube / Podcast
GitHub Community
Channel 2: Security Community
Security Conference Submissions
Security Practitioner Content
Twitter/X Security Community
Channel 3: Enterprise / Compliance
CISO / Engineering Leader Content
Analyst Briefings
Metrics to Track
Timeline