Blogs

AI-Generated Code: Finding the Right Percentage for Your Development Team

The question isn't how much AI code you should have, but how well your team can integrate, review, and maintain it. This article explores the nuanced balance between productivity, quality, and team confidence when adopting AI-generated code.

Jul 11, 2025

Best Practices for Writing Secure Code: A Developer’s Guide to Protecting Your Projects

In an era where software powers everything from personal blogs to global enterprises, the importance of secure code cannot be overstated. This guide outlines sixteen actionable strategies every developer should follow to ensure their code is as secure as it is effective.

Jul 10, 2025

How a Null Pointer Exception Brought Down Mighty Google: 7 Hours of Downtime Explained

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.). This article explains how a single null pointer exception in Google’s control plane caused a global disruption.

Jul 09, 2025

Introducing Panto’s New PR Summary Feature to 10 Customers — Here’s How It Went

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.

Jul 08, 2025

Generative AI: The Productivity Power-Up

Imagine a world where your wildest ideas can be sketched, written, or even sung into existence by a digital genie — no magic lamp required. Welcome to the era of Generative AI, where productivity isn’t just getting a boost; it’s strapping on a jetpack and blasting into the stratosphere.

Jul 07, 2025

AI-Driven Development: The Future of Building Software in 2025

In 2025, AI-driven development isn’t just a buzzword — it’s the new reality for how software is built, tested, and shipped. Advanced AI tools are now woven into every phase of the software lifecycle, making development faster, smarter, and more collaborative than ever before.

Jul 04, 2025

From Concepts to Consistency: Key Tactics for Building a Successful Market

Launching a product that creates a whole new market isn’t just business — it’s a wild adventure. Think of it as trying to convince people to eat sushi for the first time in a land where only burgers exist. At Panto AI, we’ve been on this rollercoaster, and we’re here to spill the secrets, share some industry legends, and sprinkle in the numbers that matter.

Jul 03, 2025

Dashboards: The Secret Sauce for High-Performing Technical Teams

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.

Jul 01, 2025

How AI-Driven Development Tools are Revolutionizing the Coding Experience

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.

Jun 30, 2025

How AI Code Review Tools Are Transforming Code Quality and Developer Velocity

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 quality drops, or slows delivery. Now, a new kind of teammate is stepping in: the AI-powered code reviewer. These tools don’t just check formatting. They surface logic issues, enforce best practices, and provide structured feedback. The result? Faster shipping, fewer bugs, and cleaner code across the board.

Jun 26, 2025

Why Should AI Review Your Code?

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](https://linearb.io/blog/ai-code-review#:~:text=Manual%20code%20reviews%20slow%20teams,own%20work%20and%20review%20tasks) notes, manual reviews “slow teams down, burn reviewers out, and miss things that machines catch in seconds”. In response, AI-powered code review tools are gaining traction. These tools apply machine learning and large language models to analyze code changes instantly, offering speed, consistency, and scalability that complement human judgment. In this blog we’ll explore why AI review can outperform solo humans in many situations, what pitfalls it addresses, and how teams can combine AI and human reviewers to accelerate delivery without sacrificing quality.

Jun 25, 2025

Revolutionizing Code Reviews: How AI is Transforming Technical Debt Management

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 twist: AI code reviews and AI code tools are turning the tables on technical debt. The results are game-changing.

Jun 24, 2025

Integrating SAST into Your CI/CD Pipeline: A Step-by-Step Guide

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, step by step, with a little help from Panto AI.

Jun 24, 2025

Optimize Your Codebase with Custom AI Training: Achieving Better Review Outcomes

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 AI on their own codebase. As a CTO or Product Engineering Manager, you’re already juggling speed, quality, and security. The question is: are you ready to unlock the next level of software excellence with AI code reviews that truly understand your context?

Jun 21, 2025

Measuring What Matters: KPIs for Code Quality and Business Impact in the Age of AI Code Reviews

We’re all under pressure to ship faster while maintaining high standards. But in the race to deliver, it’s easy to lose sight of what really drives value: code quality and its direct impact on the business. The right KPIs act as your North Star, guiding your team toward both technical excellence and meaningful business outcomes. Let’s cut through the noise and look at what metrics truly matter, why AI code reviews are changing the game, and how AI code tools can help you measure and improve both code quality and business results.

Jun 18, 2025

On-Premise AI Code Reviews: Boost Code Quality and Security for Enterprise Teams

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 afford.

Jun 15, 2025

The Illusion of Thinking: Why Apple’s Findings Hold True for AI Code Reviews

Recent research has cast new light on the limitations of modern AI “reasoning” models. Apple’s 2025 paper [The Illusion of Thinking](https://machinelearning.apple.com/research/illusion-of-thinking#:~:text=Recent%20generations%20of%20frontier%20language,investigate%20these%20gaps%20with%20the) 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 words, after a certain level of difficulty, their answers become no better than random. Equally striking is their **counter-intuitive effort scaling**: LRMs ramp up their chain-of-thought as a problem grows harder, but only up to a point. Beyond that, they actually **give up** – even when the token budget remains ample, their detailed reasoning steps abruptly shrink. These findings suggest a fundamental gap: LRMs do not truly “think” in a scalable way, but rather pattern-match up to modest complexity and then fail.

Jun 14, 2025

CERT-IN Compliance for AI Code Security: Unlocking Trust with Automated Code Reviews

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 business credibility in India, especially with cybersecurity incidents skyrocketing from 53,000 in 2017 to 1.32 million in 2023. As an AI practitioner, I’ve seen CERT-IN’s influence grow, especially with the launch of the world’s first ANAB-accredited AI security certification, CSPAI. For organizations using AI code tools and automated code reviews, achieving CERT-IN compliance is no longer optional — it’s a strategic necessity, especially with the average cost of a data breach in India now exceeding $2.18 million.

Jun 13, 2025

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

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 collaborate across teams. If you’re an engineering leader, you know the pain points. According to a recent survey by Stripe, nearly 75% of CTOs say that onboarding is their biggest bottleneck to productivity. Meanwhile, McKinsey reports that companies with strong onboarding processes see 2.5x faster ramp-up for new hires. The message is clear: invest in onboarding, and you’ll see real returns. But here’s the twist: traditional onboarding just isn’t cutting it anymore.

Jun 12, 2025

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 performance considerations directly into the review process.

Jun 11, 2025

From Mundane to Meaningful: How AI Tools Boost Developer Productivity

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 repetitive tasks that could be automated,** according to GitHub Next & Wakefield Research, 2023. As a founder and former engineer, I’ve seen it firsthand: we hire people for their creativity and problem-solving ability, then bury them under mechanical, repetitive work. It’s no wonder developer satisfaction and retention are ongoing challenges for teams everywhere. So why does this happen? And more importantly, how do we stop it?

Jun 10, 2025

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 beyond the moment of analysis. In this post I’ll explain why zero code retention is critical for AI-powered code reviews, how our architecture enforces it, and what it means in practice (for example, one customer cut PR merge times in half without sacrificing privacy). We’ll also cover how a privacy-first design meshes with industry standards like SOC 2, ISO 27001, and GDPR.

Jun 10, 2025

Build vs. Buy: Panto’s Take on AI Code Reviews and Code Security

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 paper: “Our engineers can tailor every feature” and “we keep everything in-house”. But from Panto’s perspective, that choice comes with hidden complexity. In this post, I’ll walk through why developing your own AI code tools—with layers of GenAI, compliance logic, and developer workflows—turns out to be far more challenging (and expensive) than most teams expect. I’ll also share how Panto has evolved its agent to solve these problems out of the box, and why many fast-moving teams find it smarter to buy rather than build.

Jun 02, 2025

Why SCA Should Be Part of Code Review Checks

Panto introduces its new Software Composition Analysis (SCA) module for real-time visibility into open-source dependencies. As part of Panto’s unified security platform (including SAST, IaC, and secrets scanning), the SCA module delivers severity-based vulnerability alerts, SBOM insights, license risk reporting, and developer-friendly dashboards. Learn how Panto SCA empowers teams to secure code fast without slowing delivery.

May 27, 2025

Customer Success Story: DPDZero Elevates Engineering Standards with Panto AI

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 quality high without slowing down became a challenge. Manual code reviews were starting to buckle under the pressure: they were inconsistent, time-consuming, and prone to misses. So the team brought in Panto AI to help.

May 20, 2025

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, see common examples in Kotlin, and show how Panto’s GitHub-integrated AI review can spot and fix them in a real project.

May 17, 2025

Customer Success Story: SkorLife Accelerates Development with Panto AI

Fintech startup SkorLife improved code quality, accelerated feature rollouts, and caught 250+ bugs early by integrating Panto AI into their development process. This success story highlights how Panto AI enabled faster merges, fewer downtimes, and higher developer velocity—earning trusted recommendations from SkorLife’s team.

May 13, 2025

In the AI Era, Why Solve for Just Code Reviews When the Whole SDLC Is Being Automated?

At Panto, we asked ourselves why AI code review matters in an era dominated by LLMs and AI code generation tools. After talking to dozens of engineers and validating real-world pain points, we realized that pull request review is still one of the biggest unsolved bottlenecks in SDLC. Our AI PR review tool helps dev teams ship confidently by catching critical issues, reducing merge time, and automating quality control—while preserving the human element of software craftsmanship.

May 06, 2025

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.

Apr 24, 2025

How to Reduce PR Merge Time from 14 Days to Under a Day?

Discover how slow pull request (PR) merge times impact engineering teams and learn how Panto AI leverages AI automation, daily reports, and actionable dashboards to drastically reduce these delays, improving developer productivity and accelerating software delivery.

Apr 17, 2025

Reports VS Dashboards

Explore the importance of effective code review automation in software development, focusing on optimizing engineering team performance through actionable metrics. Learn how Panto AI leverages data-driven insights, dynamic dashboards, and personalized email reports to enhance code quality and accelerate PR merge times. This blog delves into best practices for building dashboards, integrating version control systems, and tracking developer performance, while also highlighting the significance of customer feedback and security. Discover how leveraging key metrics, such as PR reviews, developer performance, and SCA, can streamline your engineering processes and lead to better decision-making.

Apr 15, 2025

The Unseen Hero of Software Excellence: Why Code Review Is Your Secret Weapon (And How Great Teams Do It Right)

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 problems that are expensive, time-consuming, or even dangerous. In today’s world—where software powers everything from finance to healthcare—the room for error is tiny. A single overlooked line of code can break trust, ruin reputations, or even cost lives. In that context, code review is more than a task. It’s a mindset. A commitment to building quality software that stands the test of time.

Apr 10, 2025

Panto AI vs. CodeRabbit

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..

Apr 03, 2025

The Myth of Expensive Tech: How AI PR Review is Changing Software Development

For years, the narrative has been that building world-class software requires deep pockets. Massive engineering teams, million-dollar budgets, and elite talent seemed like the only way to succeed. But here’s the reality: software development is no longer an expensive process.

Mar 19, 2025

The Rise of AI in Coding: Why AI PR Review & Vibe Debugging Matter

The landscape of software development is changing rapidly. With the rise of AI-powered tools, people with zero programming experience are now publishing apps. AI code generation has democratized development, allowing users to create entire codebases in minutes without writing a single line of code.

Mar 18, 2025

Product Iteration: The Rollercoaster Ride to Success

Product iteration is not for the faint of heart. It’s an insane loop that can make you question your sanity, your skills, and your very existence as a product creator. But when it works, it’s pure magic.

Jan 06, 2025

Navigating the Challenges of Market Creation

When we settled on the idea of a new-to-market (or new-to-habit) solution a few months back, I was excited by the prospect of market creation. Unlike replacing an existing product, we would be introducing something entirely new. However, as we’ve progressed through the early stages of our go-to-market strategy, I’ve come to realize that cultivating new habits in our target audience presents a unique set of challenges

Jan 05, 2025

How Bootstrapping Feels Like

The last few years have been a wild ride for entrepreneurs. Entrepreneurship is no longer an anomaly; it’s widely accepted and celebrated across the country! Thanks to platforms like Shark Tank and venture capital fund houses, entrepreneurship has been glorified and embraced by society

Jan 05, 2025

Good to Have or a Must-Have?

The moment this question is asked, both the buyer and seller naturally lean toward the must-have side. However, the success of a product isn’t strictly tied to which category it falls into. Many must-have products are successful, but just as many companies solve good to have problems exceptionally well and build strong businesses on top of them.

Jan 05, 2025

Introducing Panto Security: The Complete Solution for Static and Dynamic Analysis

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.

Jan 05, 2025