Goast.ai

Goast.ai is an AI assistant designed to help engineering teams fix bugs faster by automatically analyzing and resolving issues from error logs. Operating as a 24-hour on-call tool, the assistant can pinpoint root causes, generate context-aware code, and submit pull requests in staging or production environments. It is aimed at engineering and DevOps teams looking to automate tedious debugging tasks and reduce time spent investigating software exceptions.

• Instantly analyzes error logs to find the root cause of problems
• Generates step-by-step issue resolution plans
• Creates and submits AI-generated pull requests to git providers
• Allows users to iterate on pull requests by commenting feedback like a human engineer
• Sends bug fixes in real time and sets impact and severity thresholds for triggering fixes
• Accessible from Slack, GitHub, or error monitoring platforms via tagging
• Offers free and unlimited access for eligible open source projects

Pros

• Strong root cause analysis capabilities that pinpoint errors in seconds to prevent engineers from going down research rabbit holes
• Multi-file code changes enable the assistant to handle complex fixes across an application codebase
• Flexibility to communicate and manage pull requests directly within existing workflows like Slack or git providers
• Triage settings allow teams to define specific impact and severity thresholds that trigger automated fixes

Cons

• Requires an existing error monitoring tool integration to function properly according to the plan notes
• The free trial is limited to 30 days and caps usage at 50 root cause analyses, 10 resolution plans, and 10 pull requests
• The Pro tier is priced at $499 per month and has fixed monthly limits of 100 root cause analyses, 50 resolution plans, and 50 pull requests
• Enterprise pricing requires contacting sales and relies on custom usage-based pricing which is not fully detailed on the page

Goast fits engineering and DevOps teams dealing with heavy volumes of bugs and exceptions in their error logs across staging and production environments. It is well-suited for teams that use popular observability tools and want to automate the generation of pull requests and preliminary debugging. It is a poor fit for teams not using supported error monitors or git providers, or those operating entirely outside standard web development frameworks.

The pricing model is freemium with a free 30-day trial costing $0 that includes 50 root cause analyses, 10 step-by-step issue resolution plans, and 10 AI-generated pull requests, requiring an error monitoring tool integration. The Pro plan costs $499 per month and includes 100 root cause analyses, 50 step-by-step issue resolution plans, 50 AI-generated pull requests, and usability bug fixing via prompts. The Enterprise plan features custom pricing with unlimited root cause analyses, resolution plans, pull requests, custom integrations, and usage-based pricing. Open source projects can apply for free and unlimited access.

Unlike manual debugging where engineers must search through logs and manually construct fixes, Goast automates the entire loop by watching error monitoring platforms, performing root cause analysis, generating context-aware code, and pushing pull requests directly to repositories. It distinguishes itself by integrating directly into communication channels like Slack and git providers where teams can converse with the AI and request code changes via comments.

Sentry, Datadog, BugSnag, Google Cloud, Slack, GitHub, React, Flutter, TypeScript, Go, JavaScript, and Python.