Qlty Cloud

Qlty Cloud is a hosted code-analysis service that brings quality checks and coverage feedback into pull requests. It is best suited to teams that want configurable GitHub reviews across many languages; the main trade-off is keeping monthly analysis and AI-fix use within plan quotas.

Overview

Qlty combines analysis for linting, defects, formatting, duplication, security and complexity with coverage workflows, quality gates and technical-debt tracking. Its cloud workflow requires no CI setup, which can suit teams that want to start analysis without building a pipeline first. GitHub App integration handles the connection, while GitHub Actions and CircleCI Orb support coverage workflows.

The advertised catalog of more than 70 linters, formatters and security analyzers offers a single reporting layer for repositories with mixed tools. Support spans languages and formats including C/C++, C#, Go, Java, JavaScript, Kotlin, PHP, Python, Ruby, Rust, Swift, TypeScript, Terraform, Kubernetes, SQL, YAML and more. That breadth is useful for varied codebases, though the monthly minute allowance still determines how much analysis a team can run.

Key features

Pull-request quality checks

Qlty adds quality feedback and pass-fail statuses to pull requests, with customizable analysis and triage rules. Teams can tune checks to their review practices rather than accepting one fixed set of findings. Quality gates and remediation workflows support follow-through, while technical-debt tracking gives teams a way to monitor maintenance concerns.

AI autofixes

Qlty says AI generates autofix suggestions for 90% of issues, a potentially useful route from finding to correction. The monthly allowance is much smaller than the analysis quota on Free and capped at 5,000 on both paid plans, so teams should consider expected fix volume. For business services, AI explanations and fixes require opt-in; Qlty says neither it nor its subprocessors train models on customer content.

Coverage workflows

Coverage gates, diff coverage and coverage comments on GitHub pull requests put test coverage into review rather than leaving it as a separate report. Separate tags for unit and integration suites can help teams distinguish those results. GitHub Actions and CircleCI Orb support these workflows.

Security and data handling

Qlty says it holds SOC 2 Type II certification and runs analysis in sandboxed AWS Fargate containers that are destroyed after each run. It says it does not keep clones of analyzed repositories and encrypts data in transit and at rest. These controls may matter to teams weighing a cloud-based analyzer against their code-handling requirements.

Pricing

Qlty has a free plan and paid plans starting at $20/mo. The contributor count does not restrict plan access, but usage quotas do: a contributor is a unique user or bot that pushed an analyzed commit, uploaded coverage or logged in during a rolling 30-day period. Bots and AIs count if they open pull requests, so automation can affect contributor calculations even though plans advertise unlimited contributors.

Pro raises the analysis allowance twentyfold over Free and the autofix cap fiftyfold, while adding a year of trends history. Enterprise more than triples Pro's analysis allowance and adds organizational controls and priority SLA support, but does not increase the 5,000-fix cap. Free support is best-effort through Discord and GitHub; paid plans include email support, with Slack support also available on Enterprise.

Platforms

Qlty Cloud is a cloud deployment with web, API and extension access, and support across Linux, macOS and Windows.

Who it's for

Qlty is a strong fit for GitHub-oriented teams that want configurable pull-request checks, coverage feedback and broad analyzer support without setting up CI for cloud analysis. It is less compelling for teams whose workloads exceed the monthly minute or autofix caps, or whose preferred workflow does not center on GitHub for pull-request feedback.

Pros and cons

• Broad analysis coverage: More than 70 advertised analyzers and support for many languages and formats consolidate varied checks.
• Review-focused workflow: Pass-fail pull-request statuses, configurable triage, coverage comments and gates bring quality signals into code review.
• Generous contributor allowance: Free includes unlimited contributors and repositories, though minutes and autofixes remain capped.
• Fixed monthly ceilings: Analysis and autofix quotas may constrain teams with heavy use; Enterprise keeps the same autofix limit as Pro.
• Bot counting rule: Bots and AIs that open pull requests count as contributors under the rolling 30-day definition, which is worth accounting for in automated workflows.

Alternatives

Compare code quality management software if you want to survey the wider category. Consider GitHub Codespaces instead when cloud development environments are the priority: its plans include 2-core compute at $0.18 a month and 4-core compute at 0.36 USD. Qodana is another freemium option with a free trial and a Community plan described as free per active contributor, with 30 days of detailed history and unlimited LOCs and projects.

QualityGate is a freemium alternative with a free plan and free trial. ReSharper may suit non-commercial C# work: its free non-commercial plan supports C# in VS Code and compatible editors, while its listed ReSharper plan costs 389.00 USD per. Codacy offers a free Developer plan per developer per month with an IDE plugin, support for 38 programming languages and VSCode, JetBrains and Cursor integration.

CodeAnt AI is a paid alternative with a 14-day free trial and no credit card required. CodeScene may be relevant to open-source projects seeking automated PR reviews, hotspots, knowledge distribution and PDF reports in its free Community Edition. Cyclopt has a free, open-source Community Version with workflow-integrated automated code review and support for multiple languages, frameworks and cloud technologies.

Verdict

Choose Qlty Cloud if your team wants broad, configurable code and coverage checks embedded in GitHub pull requests, with cloud analysis that does not require CI setup. Its main appeal is the combination of review feedback, coverage workflows and generous contributor access; look elsewhere if your expected analysis or autofix volume will outrun its monthly quotas.