The LiteLLM supply chain attack exposed a risk most developers running AI agents haven't thought through: a compromised dependency doesn't need to escalate privileges — it already has your source code, SSH keys, and an unobstructed path to the internet. Four layers of hardening for local AI agent workloads on WSL2: interop lockdown, scoped filesystem access via bind mounts, VS Code remote isolation over SSH, and uid-based outbound traffic restriction via nftables and Squid.
ETF-Praxisguide ohne Affiliate-Links: Konkrete ETF-Empfehlungen mit 5-Jahres-Trackingdifferenz, Vorabpauschale
2026, Broker-Vergleich und Steuer-Basics. Alles was Einsteiger wirklich wissen müssen.
In a 20-year ETF benchmark, a simple rule-based allocation outperformed Markowitz and Black-Litterman in CAGR while
trading less and staying aligned with client mandates. Optimization improved Sharpe ratio — but failed the
production test. The constraints of retail wealth management aren't obstacles to performance — they define what
optimal actually means.
Daily standups often waste more time than they save — what if a structured team channel could replace them? This article presents a complete framework for asynchronous dailys: posting rules, blocker escalation paths, anti-patterns to avoid, and metrics to measure success. Plus an honest look at when async works, when it doesn't, and why hybrid models usually win.
Every bank in Europe calculates the Liquidity Coverage Ratio daily – for large institutions, this involves over a hundred million positions. How fast could this be? Benchmark with four databases, realistic Basel-III workloads, identical hardware. ClickHouse calculates 100 million positions in 0.67 seconds. Oracle takes over five minutes for 50 million. Open Source vs. €760,000 license costs.