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Sprint projectMay 24, 2026Lagos

Bugmine

Demilade Ayeku · Team Bugzy

Submitted to The Secure Program Synthesis Hackathon. Sprint projects are early-stage work by participants, not Apart Research publications.

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Report: Bugmine

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A commit-grounded pipeline for turning Code4rena access-control reports into self-validated Halmos property tests.

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How much would this matter for AI safety if it worked? How innovative is it? For scores of 4-5: is this actually new to the field, or replicating recent work?

Scoring guide
  1. 1Negligible. No clear problem addressed, or no meaningful novelty.
  2. 2Limited. Addresses a real problem but with a generic or well-trodden approach. Incremental at best.
  3. 3Moderate. Clear problem with a reasonable approach; some novelty in framing or method beyond routine application of existing tools.
  4. 4Significant. Important problem with an original approach, or identifies a neglected problem area. A valuable contribution others could build on.
  5. 5Exceptional. Tackles a critical AI safety problem with a genuinely novel approach, or opens a new research direction. Clear theory of change. You'd be excited to share this with researchers in the area.

How sound are methodology, implementation, and findings?

Scoring guide
  1. 1Seriously flawed. Methodology broken, results uninterpretable, or implementation doesn't work.
  2. 2Weak. Approach has significant gaps: missing validation, flawed experimental design, or incomplete implementation.
  3. 3Competent. Technically solid given the short duration. Methodology makes sense, results are interpretable, limitations acknowledged, work builds toward clear conclusions.
  4. 4Strong. Thorough methodology with convincing validation. Results clearly support conclusions. Immediately useful for future work.
  5. 5Exceptional. Ambitious scope executed rigorously. Surprising findings, novel methods, or unusually robust validation.

How clearly are work, findings, and impact potential communicated?

Scoring guide
  1. 1Incomprehensible. Cannot determine what the project is actually claiming or doing.
  2. 2Hard to follow. Key information buried, missing, or diluted by excessive length. Significant effort to extract main points.
  3. 3Clear enough. Can understand the problem, approach, and results without undue effort. Core content clearly present: problem, method, findings, limitations.
  4. 4Well presented. Easy to follow, well-structured, appropriate level of detail. Target audience would get it quickly.
  5. 5Exceptionally clear. A pleasure to read. Complex ideas made accessible. Could serve as a model for how to present this type of work.

  1. Thank you for this great work!

    This is super relevant to security engineers who – now in a Mythos world – sit on a huge amount of vulnerability reports but are bottlenecked on translating those into formal / code-based validators. I'd recommend strengthening the framing as to how this work relates to wider AI Safety.

    Otherwise, this is a pleasure to read with a crystal-clear structure, strong methodology and interesting findings. Thank you also for the video walkthrough which was super helpful.

  2. Aside from somewhat uncertain impact potential concerns, I would have also been interested to see use of stronger models/agent loops, or ablations with several intermediate steps in the pipeline removed. I'm sceptical that Opus would particularly benefit, for example, from the extract step.

Cite this project

@misc{ayeku2026bugmine,
  title = {{Bugmine}},
  author = {Demilade Ayeku},
  year = {2026},
  month = may,
  note = {Submitted to The Secure Program Synthesis Hackathon, an Apart Research Sprint},
  howpublished = {\url{https://apartresearch.com/sprints/projects/bugmine-ycye}},
  url = {https://apartresearch.com/sprints/projects/bugmine-ycye}
}

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