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 & TechnologyBuild 5 production Claude Code hooks from scratch with full JSON configs: auto-formatting, security gates, test runners, notifications, and quality checks.
AI DevelopmentSet up Claude Code in 5 minutes: install via npm, configure CLAUDE.md project context, set permissions, and add your first hook. Practical walkthrough with real config.
AI DevelopmentKernel-level sandboxing vs application-layer hooks, AGENTS.md vs CLAUDE.md, cloud tasks vs subagents. A technical comparison with clear decision criteria.
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 & TechnologyAI agents consume disk, CPU, and network with zero operator visibility. Three observability layers close the gap before damage is irreversible.
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 & 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 & 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 EngineeringBuild 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 DevelopmentWhich AGENTS.md patterns actually change agent behavior? Anti-patterns to avoid, patterns that work, and a cross-tool compatibility matrix for 8 tools.
AI DevelopmentTechnical writing 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.