For Practitioners

Filter by discipline. Narrow by format. Get straight to the articles that fit the work.

Categories
All Categories 41 AI Security 5 AI Systems 3 C++ 7 Crypto Infrastructure 3 DSAVE 2 Embedded Systems 4 Mobile Security 1 QA Automation 1 Quantum Computing 4 Reverse Engineering 3 Rust 1 Security Engineering 2 SRMA 1 Systems Engineering 4
Types
All Types 41 Analysis 31 Automation 1 Comparison 3 Deep Dive 2 Guide 4
Private AI on Mobile and Edge: Protecting Sensitive Data While Keeping the Product Fast
Embedded Systems Analysis

Private AI on Mobile and Edge: Protecting Sensitive Data While Keeping the Product Fast

A practical guide to private AI on mobile and edge devices. It covers on-device inference, data minimization, update strategy, and safeguards for sensitive workloads.

 Autonomous AI Systems Deployment: Rollbacks, Approvals, and Runtime Control for Real Production Use
AI Systems Analysis

Autonomous AI Systems Deployment: Rollbacks, Approvals, and Runtime Control for Real Production Use

A technical guide to shipping autonomous AI systems beyond demo mode. It covers approvals, rollbacks, rate limits, and runtime controls for real production use.

 LLM Observability: What to Measure When AI Systems Reach Production
AI Systems Analysis

LLM Observability: What to Measure When AI Systems Reach Production

A production-minded guide to what to measure in live LLM systems. It covers latency, tool calls, retrieval quality, drift, and user-visible reliability.

 Inference Optimization: How to Cut LLM Latency and GPU Cost Without Making the Product Feel Smaller
AI Systems Analysis

Inference Optimization: How to Cut LLM Latency and GPU Cost Without Making the Product Feel Smaller

A practical guide to reducing LLM latency and GPU cost in production. It covers batching, routing, caching, observability, and ways to preserve product quality.

 RAG Security Best Practices: How to Keep Enterprise Knowledge Systems Useful, Searchable, and Controlled
AI Security Analysis

RAG Security Best Practices: How to Keep Enterprise Knowledge Systems Useful, Searchable, and Controlled

A technical guide to secure RAG design for enterprise knowledge systems. It covers tenant isolation, document trust, access-aware retrieval, and prompt-injection resilience.

 Agentic AI Security: How to Control Tool-Using Systems Without Slowing Product Teams Down
AI Security Guide

Agentic AI Security: How to Control Tool-Using Systems Without Slowing Product Teams Down

A buyer-focused guide to securing tool-using AI systems in production. It covers scoped permissions, approvals, audit trails, and runtime controls that support fast teams.
« Prev 1 2 3 4 5 6 7 Next »

Contact

Start the Conversation

A few clear lines are enough. Describe the system, the pressure, and the decision that is blocked. Or write directly to midgard@stofu.io.

01 What the system does
02 What hurts now
03 What decision is blocked
04 Optional: logs, specs, traces, diffs
0 / 10000

A concise brief works perfectly here. Prefer a call instead?