Announcing the LogicStar Visionaries Program

The next decade of software development will be defined by autonomous systems that prevent failures before they reach users. LogicStar is building this future with fully autonomous self healing capabilities for backend applications. We are opening the LogicStar Visionaries Program, a selective group of engineering teams who want to help shape this new category.

Unlike the LocalStack specific offer, the Visionaries Program is open to any company, regardless of tooling or cloud setup.

Program benefits
Members receive:

• Early access to new LogicStar agent features
• Priority tuning for their codebase
• Reserved channels for feedback and collaboration
• Support from the core LogicStar engineering team
• Optional public recognition on our site and events
• Preferential early adopter pricing

This program is designed for teams that want to be part of the shift from reactive maintenance to autonomous operations for their commercial prodcutcts/software. It is not limited by company size ( an engineering team of at least 8 people). What matters is your willingness to collaborate and shape the future.

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Who should apply
Teams that:

• Build backend services in Python, JavaScript, or TypeScript (more to come ... join our waiting list)
• Want to reduce time spent on maintenance and support
• Care about reliability and stability at scale
• Want early access to new autonomous capabilities
• Are willing to provide structured feedback to the LogicStar engineering team

How to join
Email visionaries@logicstar.ai with:

• Company name
• Backend stack (Python, JS, TS)
• One to two sentences describing your main reliability or maintenance pain points
• Optional: a link to a representative repository

A LogicStar team member will follow up with next steps.

Why now
Software is changing. Code volume is rising, AI assistance is accelerating development, and production issues are rising as a result. Most incidents already have a signal before they reach customers. LogicStar is built to detect these signals, enrich them, reproduce the issue, and deliver validated fixes without human involvement.

We want to collaborate with teams who see the same future and want to influence how it is built.

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