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Self-Healing Tests and Beyond — Building Resilient Automation with AI Self-Healing Tests and Beyond — Building Resilient Automation with AI How AI can stop your test suite from becoming a maintenance nightmare — practical patterns, research evidence, case studies, and a roadmap for adopting self-healing automation. Abstract Automation promised freedom from repetitive manual checks. Instead many teams got a new job: maintaining brittle test scripts. A small CSS change, renamed API field, or timing difference can turn a green pipeline into a red alert parade. Self-healing tests, powered by AI, offer a different path. They detect when tests break, reason about intent, and adapt — sometimes automatically — so pipelines stay useful rather than noisy. This article explores the idea end-to-end: what self-healing means, how it works, evidence it helps, tool opt...

AI for Software Architecture & Design Patterns | Smarter System Design with AI Agents AI for Software Architecture & Design Patterns Abstract Software architecture defines the structural and behavioral boundaries of a system. It shapes scalability, maintainability, resilience, and cost over the product lifetime. Recently, AI agents—driven by large language models (LLMs) and agentic toolchains—have begun to assist engineering teams with architecture drafting, pattern detection, and living documentation. This article synthesises empirical evidence, real-world experiments, practical prompts, and governance advice to help teams adopt AI-assisted architecture responsibly. 1. Why Architecture Still Matters Architecture decisions propagate. A single early choice—how respon...

Code reviews and pull requests are the heartbeat of modern software development. They’re where teams enforce standards, debate approaches, and catch mistakes before they slip into production. But anyone who has spent late nights combing through large diffs knows they can also be slow, tedious, and inconsistent. Copilot changed how developers write code. Now, AI agents are beginning to change how we review it. They don’t just autocomplete functions — they scan diffs, highlight risks, suggest tests, and even draft polite review comments. If Copilot was autocomplete on steroids, AI review agents are like having a sharp-eyed teammate always available to sanity-check your code. This piece continues the narrative from Blog 1 (which explored agents moving beyond Copilot in code generation). Here we look at the review side: research, tools, developer experience, risks, and where this is h...