Tag: ai

  • How AI Is Reinventing Developer Onboarding — And Why Every Engineering Leader Should Care

    How AI Is Reinventing Developer Onboarding — And Why Every Engineering Leader Should Care

    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…

  • Why Vibe Coding Cannot Build Beyond MVP

    Why Vibe Coding Cannot Build Beyond MVP

    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…

  • Aligning Code with Business Goals: The Critical Role of Contextual Code Reviews

    Aligning Code with Business Goals: The Critical Role of Contextual Code Reviews

    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…

  • How to Identify and Fix Code Smells in Kotlin

    How to Identify and Fix Code Smells in Kotlin

    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,…

  • Zero Code Retention: Protecting Code Privacy in AI Code Reviews

    Zero Code Retention: Protecting Code Privacy in AI Code Reviews

    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…

  • Why SCA Should Be Part of Code Review Checks

    Why SCA Should Be Part of Code Review Checks

    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…