The Bug Reporting Problem Every Development Team Faces
Traditional Bug Reporting Challenges
Development teams waste 60% of their debugging time sifting through thousands of duplicate crash reports, trying to identify the root cause of issues. Manual bug triage is time-consuming, error-prone, and often leads to critical bugs being overlooked while teams chase ghost issues that don't actually impact users.
Shakebug's AI-Powered Solution
Our intelligent bug reporting platform uses advanced machine learning algorithms to automatically detect patterns, eliminate duplicates, and group related crashes. Instead of managing 8,000 scattered reports, your team gets 150 prioritized, actionable issues with detailed solutions and fix recommendations.
Revolutionary AI Features That Transform Bug Management
Shakebug leverages cutting-edge artificial intelligence to revolutionize how development teams handle bug reporting, crash analysis, and software debugging. Our platform combines multiple AI technologies to deliver unprecedented accuracy and efficiency in bug management.
Crash AI - Intelligent Pattern Recognition
Our proprietary Crash AI engine uses advanced machine learning algorithms to analyze thousands of bug reports simultaneously. It identifies hidden patterns, filters out noise and duplicates, and intelligently groups related crashes. Transform overwhelming volumes of 8,000+ scattered reports into a manageable list of 150 core issues, each prioritized by impact and frequency.
Crash Solutions - AI-Generated Fix Recommendations
Beyond identification, Shakebug's AI provides detailed crash analysis and actionable solutions. Our system doesn't just tell you what's broken—it explains why it happened and recommends specific fixes. Get comprehensive explanations, code suggestions, and step-by-step resolution guides so your development team can implement solutions immediately.
Bug Solutions - Individual Issue Analysis
Every reported bug receives the full AI treatment. Our intelligent analysis system examines individual bugs beyond crashes, providing contextual insights, potential root causes, and practical solutions. Eliminate the back-and-forth guesswork between QA and development teams with AI-powered bug resolution recommendations.
Smart Chatbot - Your Personal Debugging Assistant
Navigate your Shakebug account effortlessly with our intelligent chatbot assistant. Get instant answers about your projects, find specific bug reports, understand crash trends, and access detailed analytics through natural language conversations. It's like having a debugging expert available 24/7 to help your team stay productive.
Why Leading Development Teams Choose Shakebug
Shakebug isn't just another bug tracking tool—it's an AI-powered development acceleration platform that transforms how teams approach software quality assurance and debugging workflows.
Cut bug resolution time by up to 95% with automated crash analysis and AI-generated solutions.
Advanced AI pattern recognition automatically identifies and groups duplicate bugs, reducing noise by 80%.
Accelerate software delivery with intelligent bug prioritization and automated solution recommendations.
Gain deep understanding of software quality trends with AI-powered analytics and predictive crash detection.
Free your developers from manual bug triage to focus on building features that matter.
Proactive bug detection and resolution leads to more stable, reliable applications.
See Shakebug's AI in Action
Watch how Shakebug's artificial intelligence transforms overwhelming bug chaos into organized, actionable development insights. Our demo shows real-world results from actual customer implementations.
Before Shakebug
Scattered crash reports, duplicates, confusion, wasted developer time
After AI Processing
Organized core issues, prioritized by impact, with solutions included
How Shakebug's AI Bug Detection Works
Automated Data Collection
Shakebug automatically collects crash reports, error logs, and bug submissions from your applications. Our system integrates seamlessly with existing development workflows and monitoring tools, capturing comprehensive debugging information without requiring code changes or complex setup procedures.
Intelligent Analysis & Grouping
Our advanced AI algorithms analyze incoming bug reports using natural language processing, stack trace comparison, and pattern recognition. The system identifies relationships between seemingly unrelated issues, groups duplicate reports, and classifies bugs by severity, impact, and root cause analysis.
Solution Generation
Based on extensive analysis of your codebase and similar issues from our knowledge base, Shakebug generates specific, actionable solutions for each identified bug. These recommendations include code fixes, configuration changes, and architectural improvements tailored to your specific development environment.
Continuous Learning
The AI system continuously learns from your team's debugging decisions and solution implementations. This machine learning approach improves accuracy over time, providing increasingly relevant recommendations and better bug prediction capabilities for your specific application patterns.
Online Bug & Crash Tracker Tool
How does an AI Bug Reporting Tool improve development workflows?
Why should teams switch from traditional bug reporting to an AI Bug Reporting Tool?
Traditional reporting is time-consuming, tedious and does not cover all the details. An automated AI Bug Reporting Tool, such as Shakebug, will capture the logs, device information and steps to recreate bugs, all before we have changed our screens. This implies rarely any delays and quick resolution.
Does an AI Bug Reporting Tool work for both mobile and web applications?
Yes. Shakebug is one of the modern AI reporting tools used to report bugs, with support for iOS, Android, and web apps. They are directly connected to your workflow, where the problems of any platform are captured and analysed in real time.
Can an AI Bug Reporting Tool help identify duplicate or recurring bugs?
Absolutely. Pattern recognition is one of the significant benefits of AI. Shakebug has built-in functions to automatically identify duplicate and recurring bugs so that your team can work on only new bugs and not duplicate the effort and time spent.
How secure is data collected by an AI Bug Reporting Tool?
The Top AI Bug Reporting Tools place emphasis on data security. Shakebug encrypts all bug reports and has stricter controls to protect sensitive information, keeping your project's data secure.
Is an AI Bug Reporting Tool useful for small teams, or just enterprises?
Both. Small startups receive shorter releases and reduce the QA expenditure, whereas bigger team sizes increase speed and handling of thousands of bug reports. Shakebug is developed to accommodate teams of any size.
How fast does an AI Bug Reporting Tool capture and report issues?
Instantly. The minute a crash or error happens, Shakebug logs the bug, gets analysed with AI and delivers a report straight to your dashboard in real-time.
Can AI in bug reporting reduce QA costs?
Yes. The reduction of the manual testing hours, issues prioritisation, noise elimination on reports, all of which can be accomplished by AI Bug Reporting Tools such as Shakebug, reduces overall QA costs.
Does Shakebug offer a free trial as an AI Bug Reporting Tool?
Yes. Testing Shakebug is free of charge; after that, you can choose a plan that your team would like to use regularly.