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ToMAS provides a preliminary rubric and pipeline for converting diagnosed coordination failures into trainable partner-state reasoning items and identifies the requirements for a conclusive matched-domain evaluation.
The Static-Pass Dynamic-Fail (SPDF) phenomenon and a three-stage agentic pipeline combining static scanning, LLM-driven Common Weakness Enumeration (CWE) reasoning, and autonomous exploit verification in isolated Docker containers are introduced.
This work compares a ~28M-parameter autoregressive Tiny Recursive Model (TRM-AR) on natural-language-to-Python code generation against parameter-matched and depth-matched controls, tracking fit and generation across 40 epochs and three seeds.
Overall, prompt structure improves compliance but is an unreliable substitute for robust security controls in LLM-assisted development.
This tutorial introduces a reusable, end-to-end evaluation pipeline grounded in empirical software engineering practices, focusing on post-generation validation rather than prompt design, allowing for validating AI-generated code in modern development workflows.
DevCoach is presented as a reference architecture built on the Model Context Protocol to make GenAI assistance more lifecycle-aware, governable, and inspectable in organizational settings and reframes GenAI integration as a software engineering design and governance problem rather than a prompt-level optimization probl...
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