AI-generated unit tests and the reality behind them
A practical look at using AI to generate unit tests. What it handles well, where it falls short, and why human review still can't be skipped.
AI test automation: Why context matters more than prompts
Generating reliable automated tests depends less on prompts and more on context. This article shows how capturing real user interactions improves test quality, consistency, and overall reliability.
AI agents in startup workflows: Lessons from bees
How lessons from bee colonies inspired a framework for AI agents, multi-agent systems, and structured workflows to improve startup product development.
Events processing with AWS Lambdas
How to design scalable event processing with AWS Lambda and Kinesis without sacrificing parallelism. A practical look at concurrency, ordering, and architecture trade-offs.
Firestore real-time updates with tenant isolation
An architecture guide for multi-tenant real-time data delivery using Firebase Firestore, custom authentication tokens, and server-enforced security rules.
Costs of hosting reduced
Why our Kubernetes setup became too costly and how managed services provided a simpler, cheaper alternative.