Launch!
Squadron AI has finally launched! After months of prototyping we are proud to launch our AI assisted code reviews and issue analysis with real-time chat in GitHub. We use Squadron to develop Squadron, so we are excited to see how our product will help developers and teams to improve their code quality and productivity.
What makes us unique
While developing our VSCode extension Wingman-AI, we realized that all AI code related products lack the ability to pull cross-file context. Sure a lot of extensions including Wingman will look at files you have open for additional context, but that may not be related to the code you are working on.
We take it a step further at doing a real-time analysis of your entire project, focusing on the code you are writing but pulling insight from external references. What does this mean? Say you are modifying a method, and inside that method you leverage external objects such as other methods or classes/types. Squadron has the ability to see across those files and deliver that context to the LLM.
Squadron AI Example
— @Squadron_AI Date
We’ve also added support for Claude Sonnet 3.5 which is the current leading AI model for code related tasks. While our competitors are focused on cutting cost with less effective models like OpenAI GPT-4o and OpenAI GPT-4 mini, we are focused on the highest possible quality output for your team.
Curious? Start with our free trial and pay nothing while you experience the best possible code reviews among our other features. Our development effort isn’t done, we are constantly improving and plan to start rolling out our cutting edge code context tooling built in to tons of new features.