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Goast.ai is an AI-powered assistant designed for engineering teams to automate bug fixing. It analyzes error logs, identifies the root cause, and automatically generates pull requests with code fixes, significantly speeding up the resolution process. NOTE: The Goast.ai team has been acquired by and joined Datadog.

5.0
Added
2025-08-09
Price type:
Freemium
Monthly traffic:
3.7K

Goast.ai Overview

Goast.ai is an innovative AI assistant built to revolutionize the bug-fixing process for software development teams. Its primary function is to serve as a 24/7 on-call AI engineer that automatically analyzes and resolves issues directly from your error logs. By integrating seamlessly with popular error monitoring platforms, Goast.ai helps teams fix bugs up to 10 times faster, dramatically increasing productivity and reducing the tedious workload associated with debugging. The platform is designed to handle a team's most time-consuming task, allowing developers to focus on building new features rather than chasing down errors.

Important Notice: The Goast.ai team and technology have been acquired by Datadog. As a result, the standalone Goast.ai service is no longer available for new sign-ups, and its features are being integrated into the Datadog platform. The information below reflects the capabilities of the original Goast.ai tool.

How to use Goast.ai

The workflow for using Goast.ai was designed to be intuitive and fit directly into existing development processes:

  1. Connect Your Error Tracker: First, you integrate Goast.ai with your existing error monitoring tools such as Sentry, Datadog, BugSnag, or Google Cloud. This allows Goast.ai to watch for new issues in real time.
  2. Automatic Analysis: As new errors or exceptions are reported, Goast.ai automatically analyzes them to understand the context and pinpoint the root cause of the problem within seconds.
  3. Generate a Fix: An on-call engineer can then prompt Goast.ai to take action. This can be done via Slack, GitHub, or the Goast.ai web app. The AI can be asked to perform a root cause analysis, generate a step-by-step resolution plan, or write the necessary code to fix the bug.
  4. Receive a Pull Request: Goast.ai generates a context-aware code fix and pushes it directly to your code repository (e.g., GitHub) as a pull request (PR). This PR is ready for human review.
  5. Iterate via Feedback: If the initial fix needs adjustments, developers can simply comment on the PR with feedback, just as they would with a human colleague. Goast.ai understands the feedback and updates the pull request accordingly.

Core Features of Goast.ai

  • Automated Root Cause Analysis: Instantly analyzes errors from logs to find the precise source of the problem, avoiding wasted time on manual investigation.
  • AI-Generated Pull Requests: Automatically creates and submits pull requests with context-aware code fixes, achieving an impressive 83% merge rate.
  • Interactive Feedback Loop: Allows developers to iterate on solutions by providing feedback directly in pull request comments, which the AI uses to refine the fix.
  • Seamless Integrations: Connects with major error monitoring tools (Sentry, Datadog, etc.), Git providers (GitHub), and communication platforms (Slack).
  • Multi-Language & Framework Support: Compatible with a wide range of popular technologies, including React, Flutter, TypeScript, Go, JavaScript, and Python.
  • Severity-Based Triage: Users can set impact and severity thresholds to automatically trigger Goast.ai to generate a fix for critical issues, automating the triage process.

Use Cases for Goast.ai

Goast.ai was ideal for various scenarios, including:

  • Accelerating Production Bug Fixes: Immediately address and resolve critical errors in a live environment to minimize user impact.
  • Streamlining Staging & Development: Quickly fix bugs found during the testing and development phases, keeping the development cycle moving smoothly.
  • Reducing On-Call Engineer Burden: Automates the initial analysis and resolution steps, significantly lightening the load for on-call engineers.
  • Improving Team Productivity: Frees up senior developers from tedious bug-fixing tasks, allowing them to focus on high-value feature development.

Advantages of Goast.ai

The primary advantage of Goast.ai was its ability to act as an automated junior developer dedicated to bug fixing. This resulted in a 10x faster time-to-resolution for issues, a high merge rate for its suggested fixes, and a significant reduction in the manual effort required from the engineering team. It transformed bug fixing from a reactive, time-consuming chore into a proactive, automated process.

Pricing and Plans

Prior to its acquisition by Datadog, Goast.ai offered the following pricing structure:

  • Free 30-Day Trial: $0 for 50 root cause analyses, 10 resolution plans, and 10 AI-generated pull requests.
  • Pro Plan: $499/month for 100 root cause analyses, 50 resolution plans, 50 pull requests, and usability bug fixing via prompts.
  • Enterprise Plan: Custom pricing for unlimited usage, custom integrations, and dedicated support.
  • Free for Open Source: Goast.ai provided free, unlimited access for open-source projects.

Note: This pricing is no longer active. Functionality inspired by Goast.ai is expected to be part of Datadog's subscription plans.

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Traffic

Latest traffic

Monthly visits3.7K
Avg visit duration0:00
Pages per visit1.16
Bounce rate33.6%

Status

Rising+54.5%vs previous month
Updated at 2026-06-15

Monthly traffic trend

  • 2025-9: 2.1K
  • 2026-1: 2.4K
  • 2026-2: 5.9K
  • 2026-3: 2.9K
  • 2026-4: 2.4K
  • 2026-5: 3.7K

Geography

Top 5 countries / regions

  • 🇮🇳India
    44.5%
  • 🇺🇸United States
    38.1%
  • 🇨🇦Canada
    11.0%
  • 🇰🇷South Korea
    6.5%

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