The intelligent code suggestions help speed up the coding process, especially during busy sprints.
It can be a bit slow to process large repositories, which is a drawback when working with bigger projects.
It helps keep our code organized and ensures we efficiently handle feature requests and bugs.
The ability to directly manage GitHub issues within the tool is fantastic. It centralizes our workflow.
There are occasional bugs that require workarounds, which can be frustrating.
It streamlines our development process and ensures we don't miss important updates from GitHub.
I appreciate the integration with GitHub and Slack, which makes communication easier within the team.
The automation often misses the nuances of our specific coding standards, leading to more manual adjustments, which defeats the purpose.
While it helps manage tickets, we're still facing issues with accuracy in code suggestions, which can slow down our workflow instead of speeding it up.
The automation of code changes based on tickets is a game changer for our team. It saves us a lot of manual coding time.
Sometimes the AI's suggestions are not aligned with our specific coding practices, which forces us to do some rework.
It significantly reduces the time spent on ticket management, allowing developers to focus more on actual coding rather than administrative tasks.
The ability to automate code changes based on tickets is truly innovative and saves us a lot of time.
There are times when the suggestions don’t fit our project needs perfectly.
It allows us to maintain code quality while managing our backlog more efficiently.
The concept of automating ticket management is brilliant and saves some time, especially when dealing with repetitive tasks.
The user interface is not very intuitive, and I often find myself confused about how to access certain features.
It helps in organizing tasks better, but I still need to oversee a lot of the automation, which can be tedious.
I like how it integrates with Slack, allowing for real-time updates about ticket status.
It sometimes creates unnecessary tickets for minor issues, which clutters our workflow.
It does help in tracking bugs and feature requests, but I still find myself manually sorting through tickets to find priorities.
I enjoy the automation features that help in keeping track of multiple projects at once.
The learning curve is a bit steep for new users, which can slow down onboarding.
It allows us to handle multiple tickets simultaneously without losing track of priorities, improving team productivity.
I like the potential for saving time on ticket management, especially during high-pressure projects.
The AI can misinterpret ticket instructions, which sometimes leads to incorrect coding outputs.
It helps in tracking our progress on tickets, but we still need to double-check the AI's work to ensure quality.
I love how it streamlines our workflow and allows for quick communication through Slack.
The setup process was complicated and took longer than expected.
It reduces the amount of time we spend on ticket management, letting us focus more on coding.
The integration with GitHub is seamless, which makes it easy to manage ongoing projects.
It occasionally crashes, especially when processing large amounts of data.
It helps in organizing tasks, but we have to be cautious about its reliability.