Welcome back, everyone, to another HackerNoon Company of the Week feature. Each week, we spotlight a noteworthy company from our Tech Company Database, which spans S&P giants and rising startups alike. These companies are making their mark on the global technology ecosystem while improving their users’ lives and workflows, and we’re excited for you to learn more about them.

For this edition, our sights are set on Qodo, an AI code review and governance platform for engineering teams that want to keep quality up as AI writes more of their code. Some of its customers include Walmart, NVIDIA, Red Hat, Box, Intuit, Ford Motors, and Monday.com.

Get to Know Qodo

A coding assistant can produce a thousand lines in minutes but the person on the other end of the pull request still has the same amount of time and pair of eyes. Qodo is built for that gap.

Most AI review tools focus on what changed, while Qodo focuses on how a change affects the whole system, factoring in organizational standards, history, and risk tolerance. In practice, that means specialized AI agents that review every pull request against the full repository, its history, and a team's standards, catching breaking changes and spec gaps that diff-only tools miss.

The platform doesn't wait for the pull request either. Qodo reviews code in the IDE, inside Git, and through the CLI, and it can bring rules into an agent's context while code is still being written. On the compliance side, it advertises zero data retention, SOC 2 Type II certification, bring-your-own-model support, and deployment options that include on-prem and air-gapped setups.

If you're weighing your options, explore Qodo's documentation to see how the review workflow fits your stack, or check out their HackerNoon profile.

Qodo🤝 HackerNoon Business Blogging

Qodo has been using HackerNoon to walk engineering leaders through the AI code review landscape, one guide at a time. Their series covers why AI-generated code fails in predictable ways, how to judge review tools on benchmarks (not marketing), and which tools fit GitHub, GitLab, and Bitbucket teams.

One of their recent stories, a Monday.com case study, reports that Qodo now prevents an average of 800 potential issues from reaching production every month and saves developers about an hour per pull request.

The following are some of their recent stories with us:

• Best AI Code Review Tools for GitLab (2026)
• AI-Generated Code in Enterprise Engineering
• AI Code Review Tools: Benchmarks & Comparison

Follow Qodo’s Lead. Reach the Right Readers on HackerNoon

HackerNoon’s Business Blogging Program is one of the many ways we help brands grow their reach and connect with the right audience. This program lets businesses publish content directly on HackerNoon to boost brand awareness and build SEO authority by tapping into ours.

Here’s what’s in it for you:

• Full editorial support – we’ll help refine your story so it truly shines.
• Multiple permanent placements – across HackerNoon, plus social media amplification.
• Audio storytelling – your articles converted into audio format and distributed via RSS feeds.
• Global reach – automatic translation into 12-76 languages.
• SEO & domain authority boost– piggyback on HackerNoon’s trusted brand to strengthen your search rankings.

Our Company of the Week is just one part of the story. We’re also highlighting three projects from our Proof of Usefulness Hackathon, created to spotlight solutions to the problems people face in their everyday lives and work. This week’s picks tackle AI costs, brand visibility, and Linux service management.

Meet HackerNoon’s Projects of the Week

• Nervu is a voice rehearsal tool for the conversations people dread, like asking for a raise or giving honest feedback. You describe your situation, get a game plan, then practice out loud against an AI playing the other person, with coaching after every exchange. It needs no signup and stores no data.

• Toolora is a privacy-first tools platform with 28+ utilities for things like merging PDFs, compressing images, and formatting JSON, all processed locally in the browser so files never get uploaded. Its creator also plans a free MCP server so AI agents can use the tools, plus a paid API for heavier server-side jobs.

• SkillGauge is an AI interview platform that runs real-time video interviews with live coding and SQL editors, then delivers scored feedback. Recruiters use it to automate screening, and candidates use it for mock interviews. Its team reports more than 50,000 interviews a month across 500+ client companies.

That’s all for this week.

Until next time, Hackers!