AI Agent Config Security Is Supply Chain Security
AI agent config security belongs in supply-chain review: hooks, editor tasks, install scripts, MCP files, and plugins can execute code before you notice.
AI & TechnologyWriting
Thoughts on design, development, AI infrastructure, and building products.
AI Agents Need Exploration Checkpoints
Exploration checkpoints let AI agents prove what they discovered before acting, reducing premature exploitation, brittle plans, and generic world models.
AI & TechnologyAgent Keys Need Risk Budgets
Shuriken's Agent Kit shows why AI agent tools that can act need scoped keys, server-side limits, activity logs, revocation, and conservative defaults.
AI & TechnologyResearch Papers Need Agent-Readable Claim Files
Agent-readable claim files let papers expose claims, scope limits, definitions, and figure commands so research agents cite, test, and reuse them safely.
AI & TechnologyAI Agent Safety Starts With Small Software
AI agent safety starts with small software: smaller tools, plain files, narrow permissions, and faster tests give coding agents fewer places to hide bugs.
AI & TechnologyAI Code Review Needs Dissent, Not Consensus
AI code review needs independent agents that preserve dissent, validate findings, route uncertainty to humans, and re-review fixes before teams merge PRs.
AI & TechnologyAgent Skills Need Package Managers
Agent skills, MCP servers, prompts, hooks, and commands now behave like dependencies. Teams need manifests, lockfiles, policy gates, review, and rollback.
AI & TechnologyOpen Source Is Not a Security Boundary
GDS guidance on AI vulnerability discovery gets open-source security right: hide less by default, fix faster, and make exceptions explicit with evidence.
AI & TechnologyRust's Draft LLM Policy Draws the Right Line
Rust's draft LLM usage policy allows AI for learning, review, and experiments while banning generated comments, docs, and human-review shortcuts in Rust.
AI & TechnologyCodex Hooks Make the Harness Real
Codex hooks, Remote SSH, and mobile control make agent work operational. Evidence, approvals, git custody, release gates, and taste now decide quality.
AI & TechnologyAgent Code Search Has a Token Budget
Semble turns code search into a context-budget problem: hybrid retrieval, ranked snippets, and token savings beat grep-and-read loops for coding agents.
AI & TechnologyAgent Search Is a Runtime Problem
A new arXiv study compares grep and vector retrieval across Chronos, Claude Code, Codex, and Gemini CLI. Agent search quality lives in the runtime layer.
AI & TechnologyExternal Publications
Technical writing at Introl
Local LLM Hardware Pricing Guide 2025
Comprehensive hardware recommendations and cost analysis for running large language models locally.
H100 vs. H200 vs. B200: Choosing the Right NVIDIA GPUs for Your AI Workload
GPU selection guide comparing NVIDIA's latest datacenter accelerators for different AI workloads.
TPU Architecture: Complete Guide to Google's 7 Generations
Deep technical dive into Google's Tensor Processing Unit evolution from TPUv1 to TPUv5.
GPU Memory Pooling in Multi-Tenant Kubernetes
Resource sharing strategies for GPU clusters in containerized environments.
Ray Clusters: Distributed AI Computing Infrastructure
Guide to building and managing distributed AI computing with Ray framework.
DeepSeek V3 Open Source AI Cost Advantage
Analysis of open source LLM economics and DeepSeek's competitive positioning.
NVIDIA Vera Rubin GPU 600kW Racks 2027
Future datacenter power requirements and NVIDIA's next-generation GPU roadmap.
SMR Nuclear Power for AI Data Centers
Small modular reactor solutions for powering next-generation AI infrastructure.
DeepSeek MHC Architecture Breakthrough
Technical analysis of DeepSeek's Multi-Head Compression architecture innovations.
