Tag: code
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Best Practices for Writing Secure Code: A Developer’s Guide to Protecting Your Projects
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In an era where software powers everything from personal blogs to global enterprises, the importance of secure code cannot be overstated. Security breaches can compromise user trust, damage reputations, and result in significant financial losses. Whether you’re developing solo or as part of a larger team, integrating security best practices into your workflow is essential…
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How a Null Pointer Exception Brought Down Mighty Google: 7 Hours of Downtime Explained
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On June 12, 2025, Google Cloud Platform (GCP) suffered a major outage that rippled across the internet. Popular services like Spotify, Discord, Snapchat and others reported widespread failures, as did Google’s own Workspace apps (Gmail, Meet, Drive, etc.). Downdetector showed ~46,000 outage reports for Spotify and ~11,000 for Discord at the peak. According to Google’s…
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Introducing Panto’s New PR Summary Feature to 10 Customers — Here’s How It Went
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Earlier this month, we rolled out Panto’s brand-new PR Summary feature to a select group of 10 customers. Our goal: to see how real engineering teams would use AI-generated, natural language summaries for every pull request, and whether it would truly transform their code review process. What Is the PR Summary Feature? Panto’s PR Summary feature…
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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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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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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…
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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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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…