Author: Meghna Sen
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Customer Success Story: How Stable Money Accelerated Code Reviews with Panto AI
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About the Client Stable Money is India’s first digital fixed-return investment platform and has been growing rapidly. As their engineering team scaled, so did the complexity and volume of code changes. To maintain high code quality while improving speed, Stable Money adopted Panto AI for intelligent code review automation. The Challenge With an increasing number of…
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Dashboards: The Secret Sauce for High-Performing Technical Teams
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If you’ve ever worked on a technical team, you know the feeling: juggling deadlines, tracking pull requests, keeping an eye on code quality, and — oh yes — fielding the occasional “How’s it going?” from your manager. In this whirlwind, dashboards are the unsung heroes that turn chaos into clarity, helping teams not just survive, but thrive. Why Dashboards…
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How AI-Driven Development Tools are Revolutionizing the Coding Experience
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Remember the days when coding felt like solving a Rubik’s Cube in the dark? Yeah, those days are over. Welcome to the era where AI is your coding buddy, and everything just got a lot smarter — and a lot more interesting. Then vs. Now: The Coding Time Machine Let’s hop into our coding time machine for a…
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Panto AI vs. CodeRabbit
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One of the best pieces of advice we received when we started was to seek truth in everything we do-whether it’s choosing the right problem to solve, building our product and features, or ensuring the highest quality in what we offer. Seeking truth is crucial for solving the right problems and staying on course. It’s…
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How AI Code Review Tools Are Transforming Code Quality and Developer Velocity
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Why teams are adopting AI reviewers to boost code quality, cut review time, and scale engineering excellence Code reviews are a cornerstone of healthy engineering teams. They catch bugs, promote learning, and keep codebases clean. But as teams scale, the code review process starts to break. Pull requests pile up. Senior engineers get swamped. Review…
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Why Should AI Review Your Code?
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Modern software development moves faster and at a larger scale than ever. Engineering managers and tech leads know that thorough code review is essential for quality, but human-only reviews often become a bottleneck. As one analysis notes, manual reviews “slow teams down, burn reviewers out, and miss things that machines catch in seconds”. In response,…
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Integrating SAST into Your CI/CD Pipeline: A Step-by-Step Guide
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If you’re looking to supercharge your software delivery while keeping security tight, integrating Static Application Security Testing (SAST) into your CI/CD pipeline is a game-changer. It’s not just about catching bugs — it’s about making security a seamless part of your development workflow, so your team can deploy confidently and quickly. Here’s how you can do it,…
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Revolutionizing Code Reviews: How AI is Transforming Technical Debt Management
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Let’s be honest: every software team, no matter how disciplined, wrestles with technical debt. As a CTO or Product Engineering Manager, you’ve seen how those “just this once” shortcuts and legacy code patches add up. Before you know it, your team is spending more time untangling old code than building new value. But here’s the…
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Optimize Your Codebase with Custom AI Training: Achieving Better Review Outcomes
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Imagine a world where every code review is lightning-fast, every vulnerability is caught before it ships, and every suggestion aligns perfectly with your team’s unique style and security policies. That’s not just a dream, it’s the reality for teams who have embraced AI code tools, but only if they take the crucial step of training…