Reviewed the original private final capstone at commit 2248d933f7820f93295cb4ec2b6467bba2c987c0, its README, workflow files and selected orchestration/generation/coverage/fuzzing/runner modules. Reviewed relevant ChatGPT project history about master prompts, optimization plans and AFL++ strategy failures. The supplied resumes confirm the CI/integration and local validation work. LinkedIn could not be retrieved (HTTP 999); no claim of reading inaccessible profile content is made.
The supplied test-type Word document enumerates 48 categories; these were extracted and mapped to applicability rather than fabricated execution. Coding-reference material informed transparent metric definitions, bounded resources, explicit language trade-offs and the distinction between asymptotic analysis and measured runtime. Original source/team documents were used for understanding, not copied or republished.
Primary implementation references consulted:
- Electron security checklist: isolation, sandboxing, permissions, navigation, CSP and updates.
- electron-builder NSIS: one-click per-user installer options.
- Docker running containers and CLI limits: runtime flags, network, capabilities, read-only root and resource constraints.
- LLVM libFuzzer: genuine compiler instrumentation, entry contract, corpora and bounded runs.
- GitHub Actions secure use: least privilege, immutable action SHAs, untrusted checkout and secret handling.
- Ollama API: local-model protocol.
- Hugging Face causal language modeling and SFT trainer: actual training mechanics and evaluation context.
Inference from these references: a practical successor should separate an advisory AI control plane from restricted compiler workers and measured evidence. They do not imply universal language support, container escape-proofing, production readiness or that generated code is correct.