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Hopper

Hopper
Launch Date: May 13, 2026
Pricing: No Info
mainframe, AI, automation, IT tools, mainframe development

Hopper is a new software tool designed to help developers work with mainframe computers. Mainframes are powerful, old-style computers that many large companies use to store and process huge amounts of data. Working with them is usually very hard because it requires special, old-school terminals and complex commands. Hopper changes this by using artificial intelligence to let developers use a modern computer screen to control the mainframe. It acts like a smart assistant that can navigate the system, write code, fix errors, and answer questions about data without the user needing to know every single old command.

Benefits

Hopper offers several major advantages for people who work with mainframes. First, it makes a difficult job much easier. Developers no longer need to stare at a black-and-white screen or memorize thousands of commands. The AI agent handles the heavy lifting of moving through the system interface. Second, it speeds up problem solving. When a job fails, the tool can read error messages and explain exactly what went wrong in simple terms. This saves hours of manual searching. Third, it allows for automation. The system can write job scripts and run them automatically while waiting for user approval before making changes. Finally, it works on modern devices. Users can access the mainframe from their laptops or phones running Windows, Mac, or Linux instead of being stuck at a specific terminal location.

Use Cases

This tool is perfect for IT teams and developers who maintain legacy systems. A common use case is when a developer needs to fix a broken computer job. Instead of manually checking logs, Hopper can read the error files and suggest the fix. Another use case is data analysis. The tool can query large databases stored on the mainframe using standard SQL language, which is much easier for modern programmers to understand. It is also useful for testing new software. Developers can compile, test, and deploy code in one go using the AI assistant. Organizations that rely on mainframes for banking, insurance, or government services can use Hopper to modernize their development process without replacing their entire infrastructure.

Pricing

Hopper offers two main pricing options. There is a free hobby plan that does not require a credit card. This plan lets users connect their own mainframe and access the tool from Windows, Mac, or Linux. It includes all the core features needed for basic work. For larger organizations, there is a custom enterprise plan. This version costs more and is tailored to specific needs. It includes advanced features like secure login for teams, admin controls, and priority support. It also allows the software to be installed on private servers or in the cloud for extra security.

Vibes

Early users and the community seem very excited about this tool. It is seen as a breakthrough because it brings modern AI capabilities to a very old and difficult technology. People in the developer community are calling it a game changer for mainframe work. The tool is viewed as professional and reliable because it handles complex tasks like decoding error logs and managing strict job formats. The community feels that it is built by experts who truly understand both modern AI and the intricacies of mainframe systems. Many users appreciate that it makes a scary and complex environment feel manageable and friendly.

Additional Information

Hopper is built by a team of top researchers and engineers from leading technology companies. The project is part of a larger company called Hypercubic. The team focuses on delivering real impact by solving hard problems in computing. Users can join a community group to talk to other builders and follow updates from the Hypercubic team. The software is currently available for trial through a form submission on the Hypercubic website. The development team is known for their work in advanced AI and technology strategies.

NOTE:

This content is either user submitted or generated using AI technology (including, but not limited to, Google Gemini API, Llama, Grok, and Mistral), based on automated research and analysis of public data sources from search engines like DuckDuckGo, Google Search, and SearXNG, and directly from the tool's own website and with minimal to no human editing/review. THEJO AI is not affiliated with or endorsed by the AI tools or services mentioned. This is provided for informational and reference purposes only, is not an endorsement or official advice, and may contain inaccuracies or biases. Please verify details with original sources.

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