High-throughput engineering teams often hit merge delays because CI pipelines run in strict sequence. Parallel CI fixes this by running jobs concurrently, cutting down wall-clock time and giving faster feedback. Batch CI takes it further by grouping multiple pull requests into a single run, reducing redundant builds and surfacing conflicts earlier. Together, they transform CI from a bottleneck into a throughput engine, helping teams merge faster, with fewer conflicts and a smoother developer experience.
As React evolves, Enzyme has fallen behind lacking support for React 18, hooks, Suspense, and modern testing practices. Teams are switching to React Testing Library, which focuses on testing user-visible behavior instead of component internals, resulting in more stable and future-ready test suites.
Trunk-Based Development vs GitFlow isn’t just about git commands it’s about release culture. Choose between merging fast and shipping daily, or structured branching for controlled releases. This guide breaks down real-world workflows, CI/CD impact, and what it takes to migrate safely.
Monorepos can unlock significant productivity gains, but only if your team is prepared to invest in infrastructure, developer experience, and disciplined workflows.
Code ownership boosts accountability and speeds up reviews. Use CODEOWNERS strategically to align teams, reduce delays, and keep your codebase healthy.
As teams scale and repositories grow, especially in monorepos, code reviews can become a bottleneck rather than a safeguard.
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.
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.
Fast software delivery often builds up technical debt. Learn how continuous refactoring helps manage debt, improve code quality, and support growth.
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.
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.
