AI Engineering
Building with models in production: agents, evaluation, retrieval and local inference.
Articles
Speed is not confidence: a harness for AI-generated software
A practical look at why AI-written code needs a verification harness rather than trust in a capable chat window, covering context rules, local gates, clean-machine CI, human review and production proof.
AI EngineeringAI SecuritySoftware Engineering9 min readAir-Gapped Threat Enrichment: A Practical DFIR Intel Dashboard
A Flask-based DFIR dashboard that enriches IPs, domains and hashes against multiple threat intelligence APIs in one pass, with optional local LLM summaries via LM Studio.
AI EngineeringCybersecuritySoftware Engineering1 min read