Personal blog — standalone articles on AI engineering, infrastructure, and security.
Live at asadani.github.io
AI Engineering Open-Source 2026
The AI coding agent ecosystem has matured past prompt engineering. An architectural map of the five layers — context, methodology, memory, review, and orchestration — and which tools belong where.
Interactive Mind Map Tools
Companion to the article above. 37 tools across 6 clusters, pan/zoom SVG, filter by cluster, GitHub links on every node. Built with vanilla JS, no dependencies.
AI Engineering Production Observability
The model you deployed last quarter is not the model running today. Quality can degrade silently between API versions. How to detect it, log it, and defend against it.
AWS S3 Infrastructure GA
Native NFS v4.1 access directly on S3 buckets — backed by EFS-powered caching — erases the decade-old object vs. file storage divide. What changed, what it costs, and when to use it.
Gemini API Cost Optimization Latency
Optimize cost, reliability, and latency for production workloads by choosing between Flex and Priority inference tiers. Benchmarks, trade-offs, and batch API patterns.
Linux Policy IP Open-Source
The Linux kernel’s first official rules for AI-assisted code contributions — redefining what authorship, ownership, and the Developer Certificate of Origin mean in the age of LLMs.
Security Supply Chain CVE PyPI
How a hijacked maintainer account, a malicious .pth file, and the booming MCP plugin ecosystem combined into one of the most targeted credential-theft campaigns in the Python ecosystem. 95M downloads at risk.
Two themes — warm-light (analysis, how-to) and dark-cyberpunk (security) — both fully inline CSS, no external stylesheets. See CLAUDE.md for the complete design system.