Author: Pavankumar kamat
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Building a Healthy Code Review Culture: Lessons from Fast-Growth SaaS Teams
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In the world of modern software development, few processes play as significant a role in shaping product quality, team collaboration, and engineering culture as the code review. For fast-growing SaaS companies — where speed, scalability, and innovation are constant pressures — building a healthy, sustainable code review culture isn’t just a nicety. It’s a survival…
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How to Reduce Pull Request Cycle Time: 5 Proven Strategies for Faster Code Reviews
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Pull requests are the heartbeat of software collaboration. They allow developers to share work, catch bugs earlier, and maintain code quality at scale. But talk to any engineering leader at a growing SaaS or tech-enabled company, and you’ll hear the same frustration: pull requests that sit idle for days. What looks like a small delay…
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CodeRabbit vs Greptile: AI Code Review Tools Compared
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Artificial intelligence is transforming software development. Tools like GitHub Copilot act as an AI coder to assist developers by generating code snippets, while dedicated AI code review tools such as CodeRabbit and Greptile analyze pull requests (PRs) and suggest improvements. These AI tools aim to improve pull request reviews and embed into best practices for…
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Vibe Coding vs Vibe Debugging: The Modern Developer’s Reality
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What is Vibe Coding? Vibe coding, a term popularized by computer scientist Andrej Karpathy in early 2025, represents a shift in software development. At its core, vibe coding means the user expresses intention in plain speech and AI transforms that thinking into executable code. Unlike traditional software engineering that demands extensive knowledge of programming languages and…
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CodeRabbit Alternatives
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What is Code Review? Code review is the process of systematically examining code changes before they are merged into a codebase. It helps catch bugs early, improve code quality, maintain consistency, and ensure adherence to best practices. By reviewing each pull request, teams can reduce technical debt and improve long-term maintainability. In modern software development, code…
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The Age of Agentic AI: The Next Leap in Intelligent Software Systems
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A New Era of Autonomy We are entering a profound shift in the world of artificial intelligence — one where machines are no longer just reactive systems crunching data and answering questions. Instead, they are becoming proactive agents, independently charting paths to desired outcomes, executing multi-step plans, interacting with digital ecosystems, and learning along the way.…
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Top 7 AI Coding Tools 2025
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AI-assisted software development uses large language models (LLMs) to help developers at every step — from writing code and generating tests to reviewing pull requests and fixing bugs. In practice, AI coding assistants can autocomplete lines of code, write whole functions from comments, and even explain complex code. For example, studies show developers solve coding tasks around…
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Why Bad Code Review Advice Still Hurts Your Team — and How Context-Driven AI Transforms Reviews
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While writing this piece, I’m also scrolling through developer Slack channels — sifting through endless discussions on AI code review tools, manual review habits, and “best practices” that range from helpful to… let’s just say, well-meaning chaos. If you’ve spent any time in engineering, you know the memes: comments about commas, nitpicks on personal style, or the…
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Avoiding the Illusion of Intelligence in AI Agents
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Let’s peel back the surface. Under the hype and swagger of modern AI, most agents crack the moment production reality hits. Why? The answer runs deeper than demo pizzazz — just like those “reasoning” models that promise more than they deliver, most AI agents collapse when complexity kicks in. The core problems are structural, not cosmetic. The…