20 software engineering laws that explain why rewrites fail, late projects slip, and teams game every metric. They're about people under pressure, so they still hold.
Senior developers now own two roles: traditional engineering plus AI systems architecture. This split reshapes compensation, hiring, and what 'senior' actually means.
As AI generates more code and tests, requirements become the control layer that keeps delivery consistent, traceable, and aligned with the system context.
Learn Temporal workflow design patterns for reliable distributed systems using durable execution, sagas, polling, fan-out/fan-in, signals, and versioning.
A proxy-free workflow — online tester for endpoint validation, Chrome extension for live frame interception and transformation, no server access needed.
Use workflows for control, agents for flexibility, and multi-agent systems only when complexity truly demands it. Add intelligence only where it makes a real difference.
Replacing unreliable “vibe coding” with a rigorous automated evaluation loop using curated datasets, Claude judge agents, and metric tracking for production AI agents.
Tracing agentic systems uses hierarchical IDs to form a System DAG, exposing performance and cost issues. Observer agents automate diagnosis and system self-correction.