Category AI

AI is a developer productivity force multiplier, but poor documentation, unclear ownership and fragmented tooling don’t magically disappear with AI.

Systemic engineering bottlenecks won’t disappear by just throwing AI at them. You’ve got to fix the roadblocks to realize the full value of AI tools.

AI based Coding assistants are becoming very popular with the developers today. Find out how you can understand and measure its real impact on productivity

LLM agents are changing how developers handle code migration turning tedious, error-prone refactors into intelligent, semi-automated workflows. In this case study, we show how agents migrated a Java codebase to TypeScript by analyzing code, planning steps, and executing changes with architectural awareness and CI-backed validation.

Instead of adding yet another hot take on whether vibe coding is real or if AI is about to replace software engineers, I wanted to take a shot at predicting what software engineering might look like in 2027. 

Code migrations are like cleaning the house. We know we have to do it, but we wish we didn't have to. Yet, we are still only using AI to create new code vs cleaning the existing mess.

Taking a lens of AI, this blog post will guide you through the differences in the testing strategies and how to generate good tests

Discover how AI is revolutionizing DevSecOps. Learn about key AI technologies, best practices, and real-world examples of successful implementations.