AI agents streamline image optimization by automatically testing codecs and quality levels during the build. With clear specs guiding size and visual thresholds, the pipeline picks the smallest acceptable image, making performance gains consistent and hands-free.
Prompts helped developers start collaborating with AI agents, but they quickly lead to fatigue, lost context, and inconsistent results. Spec-driven development with Runbooks replaces ad-hoc prompts with structured, repeatable workflows making collaboration reproducible, auditable, and scalable for real-world engineering.
Managing a large codebase is challenging from handling technical debt to ensuring code quality. This guide shares best practices to keep projects scalable and maintainable
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.
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
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.
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