Compound Context: Why AI Projects Improve Over Time
Every problem you solve with an AI agent deposits context that the next session withdraws with interest. This is context compounding.
AI & TechnologyThoughts on design, development, AI infrastructure, and building products.
Every problem you solve with an AI agent deposits context that the next session withdraws with interest. This is context compounding.
AI & TechnologyTrivy got compromised via tag hijacking, then LiteLLM on PyPI, then 47,000 installs in 46 minutes. The AI supply chain worked exactly as designed.
AI & TechnologyHybrid BM25+vector retrieval, skills as markdown, drift detection. Five March 2026 papers validate the same architecture built from production failures.
AI & Technology1 in 8 enterprise AI breaches involve autonomous agents. Runtime hooks, OS-level sandboxes, and drift detection break the deploy-and-defend cycle.
AI & TechnologyMidjourney V8 prompting: personalization-first workflows and what V8.1 Alpha changed. Default HD, image prompts back, stable srefs, V7-spirited aesthetic.
AI & Technology43.7% 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 DevelopmentInstall 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 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 & 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 & TechnologyTechnical 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.