Author: Pavankumar kamat
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How to Identify and Fix Code Smells in Kotlin
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AI-powered code review tools are revolutionizing how teams maintain code quality. For Kotlin developers, these tools can automatically catch bugs, style issues, and even subtle code smells that hurt maintainability. By automating mundane review tasks, Panto’s AI lets your team ship features faster while still enforcing best practices. In this tutorial we’ll define code smells,…
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Zero Code Retention: Protecting Code Privacy in AI Code Reviews
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As CTOs and engineering leaders, you know that source code is your crown jewels — it embodies your IP, contains customer data, and reflects years of design decisions. When we built Panto as an AI code-review platform, we treated code with that level of trust: our guiding rule has been never to store or expose customer code…
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Why SCA Should Be Part of Code Review Checks
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Software Composition Analysis (SCA) is the practice of scanning applications to identify all open-source and third-party components, along with known vulnerabilities and license information. In 2025, SCA is mission-critical. The use of open-source software has exploded — Sonatype reports over 6.6 trillion OSS downloads in 2024, with 90% of modern applications containing open-source components. At the same…
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From Mundane to Meaningful: How AI Tools Boost Developer Productivity
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Ask any high-performing developer what gets them excited about work, and you’ll rarely hear “writing unit tests,” “checking for input sanitization,” or “rewriting a poorly structured PR description.” Yet, this is exactly where so many engineers spend a chunk of their day. 77% of developers say they spend half or more of their time on…
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Build vs. Buy: Panto’s Take on AI Code Reviews and Code Security
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As we talk to CTOs and engineering leaders, a common refrain we hear is, “We could just build this ourselves.” The idea of a custom, home-grown AI code review or code security tool can be tempting. It offers promises of full control, perfect fit to internal processes, and no subscription fees. It sounds great on…
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Introducing Panto Security: The Complete Solution for Static and Dynamic Analysis
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Customer: “The Wall of Defense works great for dynamic analysis, but we need Panto to also do static analysis and provide feedback to ensure the highest security and vulnerability detection.” Panto: “But there are other tools for that. Have you tried them?” Customer: “We’ve tried multiple tools, both paid and open-source. While they solve parts of the problem,…
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Customer Success Story: DPDZero Elevates Engineering Standards with Panto AI
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Client: DPDZero Industry: Fintech Solution: Panto AI Key Results The integration of Panto AI delivered significant improvements: Overview DPDzero is a collections and debt recovery platform for lenders that automates and improves the collection process. It helps lenders manage their collection portfolios across various channels to increase collections. But as the team grew, keeping code…
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Customer Success Story: SkorLife Accelerates Development with Panto AI
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Client: SkorLifeIndustry: FintechSolution: Panto AI Key Results The results were immediate and measurable: Overview SkorLife, an innovative fintech startup that helps users understand and improve their credit scores, was among the earliest adopters of Panto AI. After starting with a trial in November, they integrated Panto’s AI-powered code review into their development pipeline—leading to faster…
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The Unseen Hero of Software Excellence: Why Code Review Is Your Secret Weapon (And How Great Teams Do It Right)
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In a world where nearly 90% of software projects fail due to quality issues, code review isn’t just a routine step—it’s the silent hero that separates reliable apps from risky rollouts. Think of it like launching a rocket without a pre-flight check or publishing a book without an editor. Skipping code reviews can lead to…