Agents.txt Is Not Access Control
Agents.txt is not access control. Use robots.txt, llms.txt, bot verification, logs, and server-side policy to manage AI crawlers without false confidence.
AI & TechnologyThoughts on design, development, AI infrastructure, and building products.
Agents.txt is not access control. Use robots.txt, llms.txt, bot verification, logs, and server-side policy to manage AI crawlers without false confidence.
AI & TechnologyAI coding agents overwhelm reviewers with giant diffs. Smaller review surfaces keep engineers engaged, verification-focused, and accountable before merge.
AI & TechnologyExploration checkpoints let AI agents prove what they discovered before acting, reducing premature exploitation, brittle plans, and generic world models.
AI & TechnologyAI agent monitoring should catch decisive errors during a run, not after failure. Runtime intervention turns traces, policies, and alerts into safe pauses.
AI & TechnologyShuriken's Agent Kit shows why AI agent tools that can act need scoped keys, server-side limits, activity logs, revocation, and conservative defaults.
AI & TechnologyDeep research agents need evidence graphs to track missing pieces, reduce duplicate searches, and produce source-traced answers reviewers can inspect.
AI & TechnologyAI agent approval prompts need scoped authority, risk lanes, audit logs, expiry, and revocation so humans approve concrete actions, not fluent requests.
AI & TechnologyAgent skills, MCP servers, prompts, hooks, and commands now behave like dependencies. Teams need manifests, lockfiles, policy gates, review, and rollback.
AI & TechnologyCodex hooks, Remote SSH, and mobile control make agent work operational. Evidence, approvals, git custody, release gates, and taste now decide quality.
AI & TechnologyRust's draft LLM usage policy allows AI for learning, review, and experiments while banning generated comments, docs, and human-review shortcuts in Rust.
AI & TechnologySemble turns code search into a context-budget problem: hybrid retrieval, ranked snippets, and token savings beat grep-and-read loops for coding agents.
AI & TechnologyGDS guidance on AI vulnerability discovery gets open-source security right: hide less by default, fix faster, and make exceptions explicit with evidence.
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.