Author: Pavankumar kamat
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Cracking the Code: Practices That Transform Software Quality
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Maintaining high code quality is more than a checklist — it’s an ongoing process that can make or break your team’s productivity and software reliability. Many developers rely on the obvious basics, but the highest-performing teams are quietly using deeper strategies (and smart tools) to keep their codebase healthy and future-proof. Here are the secrets less talked…
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In the AI Era, Why Solve for Just Code Reviews When the Whole SDLC Is Being Automated?
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When we started building Panto, we weren’t fixated on “what” we were building-we were obsessed with “why.” While most startups rush toward MVPs and quick launches, we sat with the discomfort of not knowing our exact direction. And yes, it was awkward to admit, especially when people would ask, “What are you guys building?” and…
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The Illusion of Thinking: Why Apple’s Findings Hold True for AI Code Reviews
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Recent research has cast new light on the limitations of modern AI “reasoning” models. Apple’s 2025 paper The Illusion of Thinking shows that today’s Large Reasoning Models (LRMs) — LLMs that generate chain-of-thought or “thinking” steps — often fail on complex problems. In controlled puzzle experiments, frontier LRMs exhibited a complete accuracy collapse beyond a complexity threshold. In other…
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On-Premise AI Code Reviews: Boost Code Quality and Security for Enterprise Teams
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Engineering leaders must constantly balance rapid innovation with the need to protect code and data. Delivering features quickly is important, yet doing so without compromising quality or security remains a top priority. AI code reviews offer significant advantages, but relying solely on cloud-based solutions can introduce risks that many organizations, especially in regulated sectors, cannot…
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How to Reduce PR Merge Time from 14 Days to Under a Day?
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Imagine engineers finishing a new feature, only to see it sit idle in a pull request (PR) queue for days or even weeks. This delay is not just frustrating-it is expensive. According to Forrester (2024), slow PR merges cost teams up to $25,000 per developer each year. While competitors continue to release updates rapidly, delayed…
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CERT-IN Compliance for AI Code Security: Unlocking Trust with Automated Code Reviews
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Imagine a major Indian fintech startup on the verge of securing a national bank contract — until the bank demands proof of CERT-IN compliance. Overnight, teams must scramble to audit code, patch vulnerabilities, and retrofit security controls under pressure. This scenario is now common across industries, as CERT-IN compliance becomes the gold standard for code security and…
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How AI Is Reinventing Developer Onboarding — And Why Every Engineering Leader Should Care
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originally published on getpanto.ai Let’s be honest: onboarding new developers is hard. You want them to hit the ground running, but you also need them to write secure, maintainable code. And in today’s world, “getting up to speed” means more than just learning the codebase. It means understanding business goals, security protocols, and how to…
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Why Vibe Coding Cannot Build Beyond MVP
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While writing this blog, I’m also vibe coding in parallel — building a comprehensive engineering dashboard that helps managers understand the quality of code being pushed to production by their teams. Vibe coding is freakishly addictive. It delivers instant Aha moments, especially for someone like me who hadn’t coded in a while. Coming back to it and…
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Aligning Code with Business Goals: The Critical Role of Contextual Code Reviews
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As a CTO, VP of Engineering, or Engineering Manager, you understand that code quality is not just about catching bugs; it’s about ensuring that every line of code delivers real business value. In today’s fast-paced development environments, traditional code reviews often fall short. Teams need a smarter approach: one that embeds business logic, security, and…