For Practitioners

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

Categories
All Categories 45
AI & ML
AI Security 5 AI Systems 3
Quality & Testing
QA Automation 1
Systems & Performance
Systems Engineering 5 Embedded Systems 4
Security & Reverse Engineering
Mobile Security 1 Reverse Engineering 4 Security Engineering 2
Frontier & Crypto
Crypto Infrastructure 3 Quantum Computing 4
Other
C++ 9 DSAVE 2 Rust 1 SRMA 1
Types
All Types 45 Analysis 34 Automation 1 Comparison 3 Deep Dive 3 Guide 4
Showing AI Systems Clear filters
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 article on what to measure in LLM systems, from latency and tool calls to 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 spend with batching, routing, caching, and observability that preserve product quality.

 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 with approvals, rollbacks, rate limits, and operational control rather than demo-grade optimism.
1

Contact

Start the Conversation

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

0 / 10000
No file chosen

Prefer a call instead?