DEVOPSdigest

AppMap announced a new release with Runtime Code Review.

AppMap's automated Runtime Code Review finds and fixes runtime flaws prior to release. Runtime Code Review surfaces insights that are only visible while code executes with new data about code behavior and novel code quality analyses.

AppMap's new release detects and fixes critical runtime performance, security, and stability issues earlier than ever, ensuring trouble-free code release to production.

With Runtime Code Review from AppMap, cycles of runtime investigation and code repair drop from weeks down to minutes saving organizations development time and money. AppMap's first CI release, their new GitHub Action, brings instant insights to developers where they evaluate code quality: in the pull request.

AppMap's users liken it to a robot software "architect" that evaluates and explains every permutation of a code change on the code's runtime behavior. Each defect that AppMap finds gets a root cause diagnosis of problems, such as failing test cases, breaking API changes, newly introduced performance problems, and new runtime security flaws. Beyond finding problems, each automated review includes a set of interactive visual maps explaining the behavior causing the issue. This analysis of new code behavior is particularly valuable in evaluating problems with AI-generated code. AppMap runtime code review and maps save development teams hours of time reproducing problems and making repairs and lightens the load on humans evaluating code changes for critical defects before release.

"AppMap's Runtime Code Review is a natural extension of the AppMap experience geared for software development organizations," says Elizabeth Lawler, founder and CEO of AppMap. "Runtime code review detects code quality issues that organizations care about most: breaking changes, slow performance, and hidden application security defects. Runtime code review provides the insight every development team needs to evaluate the impact of code and release with confidence. Human coders or AI coders: runtime analysis works well for both."