pip install cracken
30s to try
cracken break your-app
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Write test cases in natural language
Enhance collaboration with non-technical stakeholders and bridge the gap between requirements and testing.
Get results verified by an autonomous agent
Boost efficiency and consistency, reduce errors, and free human resources for high-value work.
Check best practices recommended at each step
Boosts stakeholder trust via enhanced software quality, streamlined processes, and consistent outcomes.
Wider coverage in testing
Autonomously generate test cases, including edge cases.
Cheaper and faster security analysis
Overcome having limited dedicated resources.
Flexibility to code in preferred console
Allow the team to calibrate testing to a level suitable for its risk appetite in cybersecurity.
Manual QA
Hard to Scale
Inconsistent
Outside CI/CD
Low Code
Limited Coverage
Limited Functionality
Hard to Maintain
Automated
Limited Coverage
Hard to Write
Hard to Maintain
CrackenAGI
Scalable
Reliable
Robust
Is this similar to code generators like Github Copilot or Codium?
Why choose our solution over generalized ones like AutoGPT?
What type of Large Language Models (LLM) power your backend?
What data do you collect and how is it secured?
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