LoopUp is a global cloud communications provider that helps large enterprises consolidate telephony into the cloud. The company operates in 106 countries and maintains a bespoke platform built in-house, spanning hundreds of repositories, frontends, and APIs. Engineering teams are distributed across London, San Francisco, and Jakarta, and at that scale, shipping quickly and maintaining consistency across the codebase are inseparable.

Built on AWS for global reach and reliability. LoopUp uses Amazon Web Services as part of the infrastructure supporting its enterprise customers across 106 countries. The team runs compute workloads on Amazon EC2 and uses AWS Direct Connect to establish private, high-throughput network links between corporate data centers and the cloud, supporting the consistent performance and security posture that enterprise telephony demands.

As the team grew, the challenges of shipping quickly and maintaining consistency showed up most acutely in code review.

Review bottlenecks slowing the path to production

LoopUp’s senior engineers were spending a significant share of their time reviewing pull requests, guiding architectural decisions, and mentoring junior developers. That investment in team growth was expected, but it had consequences that were hard to ignore: senior contributors had less capacity for their own work, and code was routinely sitting in review queues longer than anyone wanted. Chris Howard, LoopUp’s CTO, had set a clear goal of reducing the time it takes to get code from development into production, and the PR review step was consistently where progress stalled.

Time zones made everything harder. London, San Francisco, and Jakarta are about as far apart as three offices can be, and even straightforward feedback cycles could stretch into multi-day or week-long exchanges. At the same time, with hundreds of repositories and no unified system enforcing shared standards, consistency across the platform was starting to erode. As Chris put it,

“You could end up with 100 different projects all set up differently, running tests differently, building differently.”

Without something that could see across the full ecosystem, fragmentation was becoming a real risk.

Why context was the deciding factor

LoopUp evaluated several AI code review tools as part of a broader initiative to bring AI into the development workflow. Most could review a single pull request competently, but none of them had awareness of LoopUp’s broader platform architecture, organizational standards, or cross-codebase patterns. They reviewed code in isolation.

Where Qodo stood apart was its ability to understand how a given repository fit into the larger ecosystem and flag whether changes were consistent with the team’s established standards, not just whether the code itself was functional.

“It was really that contextual piece that was the main differentiator for us,” Chris said. “We needed something that would be aware of everything happening across our ecosystem.”

Automating 90% of code review

LoopUp configured Qodo at the organization level across their GitHub repositories, and it began reviewing every incoming pull request automatically. Setup required minimal configuration, and the results were immediate.

“It does about 90% of that initial review, and then it’s really just the final 10% where humans get involved.”

In practice, that 90/10 split means the repetitive checks that used to consume senior engineering hours, style enforcement, standards compliance, routine code review, are now handled before a human ever looks at the PR. Reviewers step in only for the architectural decisions and design judgment that genuinely require their expertise, which means the time they do spend reviewing is higher-quality and more focused.

The change in delivery speed followed directly. Before Qodo, a pull request submitted at 9 AM could take 24 to 48 hours to reach production, even when everyone was in the same time zone. The bottleneck was rarely the review itself; it was waiting for someone to start it. With Qodo, “you could get it done by lunchtime,” Chris noted. For cross-timezone work, the improvement is even more pronounced, with cycles that previously stretched to a week now resolving in minutes.

Surfacing issues that manual reviews miss

Beyond faster reviews, Qodo has also started catching issues that are easy to overlook in a standard PR review.

“There have been times where Qodo picked up edge cases or performance issues that a manual review probably wouldn’t have caught.”

In one example from just days before our conversation, a routine pull request triggered a Qodo finding about something entirely unrelated to the changes being submitted: a theme provider was being loaded redundantly across a shared frontend component library, silently increasing page load time. It wasn’t on any ticket, and it wasn’t something a reviewer would have caught during a standard PR review. Once the team addressed it, frontend load time dropped by 70 to 80%.

That kind of result speaks to the value of having a review system with deep, cross-codebase context rather than just visibility into the diff.

Key results

Same-day production. Code that previously took 24 to 48 hours to ship now reaches production the same morning.

• 90% of review work automated. Senior engineers have shifted their time from routine review to architecture and design.
• Cross-timezone speed. Week-long review cycles across three continents now resolve in minutes.
• Hard-to-find issues surfaced. Qodo consistently catches edge cases and performance problems that manual reviews miss, including one finding that reduced frontend load time by 70 to 80%.

A reliable extension of the engineering team

Chris describes Qodo as “an automated mid to senior level developer,” and the analogy holds up in practice. It reviews with the kind of awareness that typically takes a senior engineer years to build: knowledge of how the platform fits together, what the standards are, and where deviations tend to cause problems downstream. The difference is that Qodo applies that awareness to every pull request, across every repository, without the bottleneck of availability or time zones.

For a team that operates across three continents and maintains hundreds of repositories, that kind of consistency is difficult to achieve through headcount alone. As LoopUp continues to grow, the review layer scales with them.