Dev diary
We built an AI Prototype Factory. Here’s what we learned
See how a factory prototype approach uses multiple AI agents to transform project requirements into working, testable software prototypes.
AI-assisted software development: Building a production iOS app
A real engineering story about AI-assisted software development, domain expertise, and the lessons learned while building an iOS app from scratch.
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.