Engineering practices, grounded in runtime context
Expert articles, best practices, and product updates
- All
- AI Debugging
- Best Practices
- Dev Tools
- Developer Observability
- FinOps
- Inside Lightrun
- Market News
- Product Updates
- Solutions
- Tutorials
- Uncategorized
Why AI Agent Orchestration Needs Runtime Context Between Agents
Every multi-agent system depends on one agent handing its output to the next, and nothing...
Why AI Agent Architecture Needs a Runtime Context Layer
Every AI agent architecture diagram shows the same five layers: perception, memory, reasoning, action, and...
SDLC Phases and the Reliability Gap AI Can’t Close
Decisions in each SDLC phase from planning to design, development, testing, deployment, and maintenance are...
Best PR Review Tools for AI-Generated Code (2026)
Most PR review tools answer one question: does this code look correct? They scan the diff, flag known patterns, catch security violations, and post inline comments before merge,...
Deterministic vs Probabilistic AI Engineering Explained
Deterministic processes carry one guarantee: the same input will produce the same output. That guarantee...
How AI Agents Are Changing Each Agile SDLC Phase
The Agile software development lifecycle was designed to surface problems early, with short sprints, iterative testing, and continuous integration built on the premise that faster feedback loops produce...