Every Iteration Makes Your Code Less Secure
43.7% of LLM iteration chains introduce more vulnerabilities than baseline. Adding SAST scanners makes it worse. SCAFFOLD-CEGIS cuts degradation to 2.1%.
AI & TechnologyThoughts on design, development, AI infrastructure, and building products.
43.7% of LLM iteration chains introduce more vulnerabilities than baseline. Adding SAST scanners makes it worse. SCAFFOLD-CEGIS cuts degradation to 2.1%.
AI & TechnologyInstall the Claude Code CLI in one command, authenticate, then set up CLAUDE.md, permissions, and hooks. A working setup in under 5 minutes.
AI DevelopmentCodex CLI vs Claude Code in 2026: kernel sandboxing, hook governance, model context, pricing, China cloud access, and when to use each tool.
AI DevelopmentBuild 5 production Claude Code hooks from scratch with full JSON configs: auto-formatting, security gates, test runners, notifications, and quality checks.
AI DevelopmentAn attacker opened a GitHub issue and shipped malware in Cline's next release. Agent sandboxes fail at three levels. Here is what actually works.
AI & TechnologyGit captures what changed. Agent sessions capture why. When agents write code, the session transcript is the real design document — and we discard it.
AI & TechnologyA malicious web page injected instructions into URL metadata. The agent fetched it, read the poison, and exfiltrated the API key. No error. No log.
AI & TechnologyAI agents consume disk, CPU, and network with zero operator visibility. Three observability layers close the gap before damage is irreversible.
AI & Technology49,746 chunks, 83 MB, zero API calls. How BM25 + vector search + RRF fusion in one SQLite file turns 16,894 Obsidian files into a queryable knowledge base.
AI Engineering118 functions with slowdowns from 3x to 446x in two Claude Code PRs. AI agents optimize for correctness, not performance — here's the data.
AI EngineeringWhich AGENTS.md patterns actually change agent behavior? Anti-patterns to avoid, patterns that work, and a cross-tool compatibility matrix for 8 tools.
AI DevelopmentBuild custom Claude Code skills that auto-activate based on context. Step-by-step tutorial covering SKILL.md structure, frontmatter, LLM-based matching, and team sharing via git.
AI DevelopmentTechnical writing published at Introl
Comprehensive hardware recommendations and cost analysis for running large language models locally.
GPU selection guide comparing NVIDIA's latest datacenter accelerators for different AI workloads.
Deep technical dive into Google's Tensor Processing Unit evolution from TPUv1 to TPUv5.
Resource sharing strategies for GPU clusters in containerized environments.
Guide to building and managing distributed AI computing with Ray framework.
Analysis of open source LLM economics and DeepSeek's competitive positioning.
Future datacenter power requirements and NVIDIA's next-generation GPU roadmap.
Small modular reactor solutions for powering next-generation AI infrastructure.
Technical analysis of DeepSeek's Multi-Head Compression architecture innovations.