Customer Success Story: DPDZero Elevates Engineering Standards with Panto AI

Client: DPDZero
Industry: Fintech
Solution: Panto AI
Key Results
The integration of Panto AI delivered significant improvements:
- Faster Code Reviews: Developers received instant feedback on pull requests.
- Enhanced Code Quality: Fewer errors and inconsistencies reached production.
- Improved Engineer Satisfaction: Code review became more efficient and less burdensome.
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 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.
The Challenge
More code means more pull requests. And with developers stretched across multiple projects, catching every issue, especially the small but important ones, just wasn’t realistic. Review fatigue set in. Things slipped through. The intent was there, but manual review alone wasn’t cutting it.
The Solution
DPDZero integrated Panto AI into its pull request flow. Suddenly, the tedious but critical checks—style, security patterns, obvious bugs—were handled automatically. Setup was quick. Results were immediate.
“We have worked with them to tell what we expect & they are able to do a lot of trivial but important things automatically on every pull request and devs get that feedback immediately. It in fact catches a lot more issues than a human being because at the end of the day code review is hard and people are lazy.”
The Impact
- Faster Reviews: Devs get feedback instantly, with less back-and-forth.
- Better Code: Fewer mistakes reach production.
- Happier Engineers: Review feels less like a chore—and more like a boost.
The Takeaway
DPDZero didn’t slow down to improve quality. With Panto AI in every pull request, they’ve turned a common bottleneck into a real advantage—where consistency, speed, and quality all move forward together. Experience the benefits of AI-powered code review. Start your free trial with Panto AI today at getpanto.ai
Your AI code Review Agent
Wall of Defense | Aligning business context with code | Never let bad code reach production
No Credit Card
No Strings Attached


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

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