AI 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 & TechnologyThoughts on design, development, AI infrastructure, and building products.
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 agents should call trained machine-learning models as tools instead of asking an LLM to guess prices, risk scores, forecasts, or classifications.
AI & TechnologyAI coding agents overwhelm reviewers with giant diffs. Smaller review surfaces keep engineers engaged, verification-focused, and accountable before merge.
AI & TechnologyLong-running AI agents need durable channels: workflow IDs, event logs, resumable streams, typed signals, safe cancellation, and user-visible checkpoints.
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 & TechnologyAI agent skills can change behavior while pass rates stay flat. Behavioral audits compare traces, declared capabilities, and side effects before trust.
AI & TechnologyCodex hooks, Remote SSH, and mobile control make agent work operational. Evidence, approvals, git custody, release gates, and taste now decide quality.
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 & 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 & TechnologyAgent skills, MCP servers, prompts, hooks, and commands now behave like dependencies. Teams need manifests, lockfiles, policy gates, review, and rollback.
AI & TechnologyAI agent review packets bundle claims, traces, approvals, tests, deployment proof, human review state, and unresolved gaps so agent work earns real trust.
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.