But manual checks can be time consuming, inconsistent, and can cause delays in development and releases. That means you need a solution that boosts and complements what is still a vital part of the process.

We’ve all been there, it’s the last day of the month, deadlines are looming, and a new request has just landed on your desk. Of course, you want to be vigilant in looking for every insecure database query and input validation flaw during your manual reviews, but with the clock ticking and other tasks to consider, errors can slip through under pressure.

Upcoming deadlines and mounting tasks don’t just impact consistency, they can also cause blockages in your workflow. If you’re waiting for a senior developer to complete a manual security review before you can move your project to the next stage, you’re often at the mercy of that person’s own workload and calendar.

You may have SLAs in place (Google’s guidelines, for example, say developers should respond to reviews within one day), but the reality can be different. When you find someone to do your code reviews, it may still take two or three days before they free up their own time, leaving you waiting on next steps.

It may be that one reviewer fails to focus on something like unused imports that others have considered important. Or perhaps you’ve kept previous feedback in mind, only for a lack of alignment to mean a different reviewer contradicts what you’ve heard before. Either way, inconsistent feedback can make the process frustrating and leave you exhausted.

Manual reviews are integral in your process, allowing you to make measured calls and give considered feedback based on context. But spotting emerging patterns, such as repeated security mistakes, across your wider codebase is challenging in more focused manual checks. This can be a problem when these patterns continue, leading to rising technical debt.

Highlight vulnerabilities and code defects that might be missed when the pressure is on, like incomplete authorization checks or logic flaws, or when you and your reviewers aren’t familiar with specific security patterns. This helps you to deliver a more consistent security sweep of your codebase.

Code review automation means quality becomes objective rather than dependent on a reviewer’s mood, energy levels, or personal preferences. That means you get a more consistent output and a safety net for the rare occasions when issues are missed during manual review.

Let automated reviews handle the more mundane elements of checks, including style violations, unused imports, and formatting, leaving your human reviewers to focus on tasks more in need of their expertise, such as architecture, design patterns, and business logic, helping to alleviate backlogs.

Drive consistency by giving new team members the same quality guidance as experienced developers, without requiring senior staff to spend as much time on code quality education.

If quality’s falling, you’ll know about it with automated checks. Don’t let bugs, inconsistencies, security and severe issues become unmanageable and unnecessarily expensive. Spot patterns as they start to emerge and fix them before they become more problematic.

Enjoy faster, more reliable feedback loops, so issues get fixed sooner, with less of the reworking and refactoring that slows down development.

Apply identical rules across all team members, projects, and environments, whether they’re junior developers or senior architects.

See the same issues locally in your IDE that will appear in CI analysis. You’ll have no more surprise failures when code that looked clean in development gets flagged during the build process.

Configure specific rules based on your needs. Focus on the most relevant vulnerabilities, such as web security for frontend teams, memory safety for systems programming, or compliance checks for regulated industries.

Qodana’s analysis runs parallel to your builds, providing feedback while developers still have the context fresh in their minds, so you get results and quick fixes in minutes rather than hours or days.

Track trends and identify issues with Qodana’s cross-project analysis dashboards. See which parts of your codebase accumulate the most technical debt and where your team consistently struggles with specific types of issues.

Automated checks from Qodana are a priceless asset to your team’s efficiency. And integration is a lot easier than you might think.

Run the same inspections your team already trusts in IntelliJ IDEA, PhpStorm, and other IDEs on every commit. Detect SQL injection vulnerabilities, path traversal risks, and null pointer exceptions automatically, without waiting for human reviewers to spot these issues.

There’s no need to change your existing workflow, because Qodana integrates with your current setup and adds automated quality gates. Integrate with GitHub Actions, GitLab CI/CD, TeamCity, Jenkins, and other tools your team already uses.