Wasps

Wasps enters the AI code review space with a focused promise: bring context-aware feedback directly into the IDE, functioning as a real-time assistant that catches bugs and vulnerabilities as you type. Built by the Gitsecure team, it leans on a security pedigree that suggests serious attention to code quality, but the tool's scope is deliberately narrow. This is not a platform for CI/CD pipeline scanning or a replacement for peer review; it is an inline companion meant to reduce the friction of catching issues early. The comparison to Grammarly is instructive—Grammarly excels not by replacing human editing but by flagging surface-level and structural issues in prose without leaving the writing environment. Wasps aims to do the same for code, offering suggestions that are aware of the surrounding context, not just isolated line-by-line linting. For developers working in VSCode, this means a feedback loop that stays inside the editor, potentially cutting down the back-and-forth of manual review sessions. However, the tool's limitations are equally important. Currently, Wasps appears to be tied to VSCode as its primary IDE, with no mention of JetBrains, IntelliJ, or other popular editors. This immediately narrows its addressable audience. Additionally, the lack of standalone or CI integration means that code review remains a developer-local activity unless teams build around it. The absence of transparent pricing makes it difficult to assess value, especially for teams that need to scale. The core feature set—AI-powered review, context-aware feedback, bug and vulnerability detection, and fix suggestions—sounds comprehensive, but the depth of each matters. Context-aware feedback is the standout claim: unlike simple pattern matchers, Wasps is said to understand the codebase's broader logic, which should reduce false positives and make suggestions more relevant. In practice, this likely means the tool analyzes function scope, variable usage, and control flow to flag issues that a static analyzer might miss. For a developer writing a complex function, Wasps might catch a potential null pointer dereference or an unhandled edge case that a linter would overlook. The fix suggestions, if well-designed, could accelerate corrections, but the degree of automation versus guidance remains unclear. The primary use case—identifying and fixing buggy or vulnerable code in minutes—is most valuable in fast-paced development environments where waiting for a full CI run is too slow. A developer on a feature branch can get immediate feedback, fix issues before committing, and reduce the number of review cycles. This aligns with modern DevOps practices that emphasize shift-left security and quality. For QA engineers, Wasps offers a pre-screening layer: before formal testing, the tool can flag obvious bugs and vulnerabilities, allowing QA to focus on more complex scenarios. But the tool's effectiveness hinges on its model's training data and accuracy. Without benchmarks or third-party evaluations, it's hard to gauge how it compares to established tools like SonarQube or Snyk. Given the Gitsecure background, vulnerability detection likely leans toward security flaws—SQL injection, XSS, insecure deserialization—but the documentation is sparse. For a practical buyer, the decision comes down to workflow fit. If your team uses VSCode and values real-time, in-editor feedback, Wasps is worth a trial. If you need cross-IDE support, CI integration, or detailed reporting, it may fall short. The tool's simplicity is both its strength and its limitation: it does one thing—inline code review—and does it without bloat, but that may not suit teams with mature toolchains. Ultimately, Wasps is a promising addition for developers who want a lightweight, context-aware assistant, but its true value will only be clear after hands-on testing with real codebases. The lack of pricing and limited IDE support are significant barriers to adoption, and the Gitsecure brand, while reputable in security, does not automatically guarantee best-in-class code review. As with any AI tool, the proof is in the false positive rate, the relevance of suggestions, and the time saved. Wasps earns a look from VSCode users who want to experiment with AI-assisted coding, but it is not yet a must-have for every team.