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.
Do we really need another blog talking about monorepos and polyrepos? Maybe not, but let’s try a new take on this Star Wars Day!
Learn why upgrading from Java 8 to 17 matters in 2025, and how to do it right with new features, better performance, and modern tool support.
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.
Fast software delivery often builds up technical debt. Learn how continuous refactoring helps manage debt, improve code quality, and support growth.
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.
Release management ensures smooth software deployments with minimal disruptions. Tracking key KPIs like Deployment Frequency, Change Failure Rate (CFR), and MTTR helps teams improve efficiency, reduce downtime, and enhance stability. In this blog, we break down the top 8 KPIs that drive successful releases.
Aviator Agents is a purpose-built code migration system built for scale and correctness.
Shifting from a monorepo to a polyrepo isn't just a matter of splitting code it's a rewrite of your entire developer workflow. Dependency boundaries, shared libraries, and tightly coupled CI/CD pipelines often make the transition painful. In this post, we explore when each model works best, why companies like Facebook and Netflix took different paths, and what to consider before making the switch.
When Kubernetes deployments fail due to misconfigurations, manual rollbacks are slow and disruptive. GitOps, with ArgoCD and Argo Rollouts, automates failover by detecting issues and reverting to the last stable version. ArgoCD enforces Git as the source of truth, while Argo Rollouts manages progressive deployments, preventing faulty updates from reaching users and ensuring rapid recovery.
Get the feedback without the developer survey fatigue.
How to measure software developer productivity without ending up with a stock-market-like dashboard tracking hundreds of metrics
