Get Unstuck with our 100x GenAI Service

Remove the superhuman-sized software development obstacles that are slowing you down with our GenAI-enabled engineering teams

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The Future of Problem Solving

Stride100x leverages GenAI and automation to solve your biggest software development challenges -- like the organic architecture you work around every day or the re-platforming project with a seemingly infinite scope.

Our AI engineers work alongside you to transform these  massive problems into manageable tasks that take a fraction of the time.

100x Use Cases

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FEATURED USE CASE

Re-Architecting & Re-Platforming

Accelerate your migration process by over 100% with the Stride100x team and our automation toolkit.

Working with Stride100x, you will:

  • Visualize years of organic complexity in moments

  • Document past behavior to ensure business logic is preserved

  • Generate and iterate both strategic design recommendations and tactical, merge-able code

  • Place human intervention at high leverage tollgates that are important to your business

case study

Re-Architecting +10-year-old Spaghetti

25-year-old FinTech player faced a significant challenge with its 10+ year-old Microsoft .NET applications, which were bogged down by over 600 classes, 10,000 code files, and 2,000 database tables. This bloat lead to slow, timing-out functions and halted user interactions, resulting in disrupted sign-ups and payments.

Stride brought its 100x GenAI-powered services to our customer, automating key processes such as dependency visualization and code generation. This reduced human effort from 3 days to 3 hours per service, cutting the projected migration time in half and saving our customer at least 12 months of development time.

87% reduction in time on critical architectural tasks

ADDITIONAL USE CASES

Improve Test Coverage & Safety

Increase coverage on un- and under-tested code with tests that match your style and meet your standards so that you can push to production often and easily.

Re-Pattern Your Codebase

Identify and obliterate toxic or low-performing patterns in your codebase and improve extensibility, performance and maintainabiity.

Squash  Static Analysis Errors

Remove the signal from the noise in your CI/CD pipeline so that you get a clear read on the issues that are and are not impacting your production environment

Learn how we can solve your insurmountable technical challenges and free you up to do more with less.

Get In Touch

Stride100x has changed the ROI equation for us to take care of these errors, now and in the future

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Our Guiding Principles

Tailored

Each workflow is tailored to use your standards, best practices and to meet the specifics and concerns unique to your company and domain

Empowering

Our solutions magnify the knowledge and discernment of your experts, enabling each to make massive impact across your codebases and teams

Secure

We use your tools in your environments to ensure your code, requirements and Intellectual Property are kept safe and secure.

Transformative

We make lasting change in your organization so that you can move forward in a better state. And we'll teach you along the way.

Let’s Talk.

Learn how we can to unlock your team’s potential and solve your biggest challenge.

Still Have Questions?

What’s the difference between GenAI and traditional AI/ML?

Traditional AI and machine learning is essentially pattern recognition at scale. ML can be used in various predictive settings, but it typically requires customized training and rarely applies to anything it hasn’t been specifically trained on.

GenAI builds on traditional ML – you can do a lot of the same things, like predictions based on data – but it doesn’t usually need specific training on your data set, and it adds the ability to create new digital assets upon request. This applies to all sorts of asset types – text, images, videos, code – and can be applied in some way in almost any business setting.

Why should I invest in GenAI right now?  Shouldn’t I wait until things settle down?

Learning to use GenAI and to leverage it for your business requires a focused investment of time and effort.  Even if the technology evolves and improves, the investment in figuring out how it might work in your environment is worth making now.  And if you do find a way to drive ROI, the benefits of that optimization will start to compound as soon as you get started.  You also don’t want to lag your competitors, who may figure out how to optimize their workflows and products before you do.

Do I need to build, train or host my own LLM?

Generally speaking, no. The only people who need a custom hosted or fine-tuned LLM are either working with highly unusual data sets, have cost considerations that make cloud solutions too expensive, or security concerns that take cloud off the table. For most internal use cases (knowledge bases, code generation, content creation) off-the-shelf LLMs are going to be fine.

How do I control costs?  Aren’t LLMs expensive?

As noted above, costs can be an issue, but typically only if security considerations require you to host your own model or if you are running at consumer scale.  We can help predict costs by calculating expected usage over time, and match those costs to technical solution requirements.

How do I keep up with the latest advances?  Won’t I just have to rebuild this in a few months when things change?

The best thing about LLMs is that they will improve on their own!  Stride can help you balance expected model evolution with pure infrastructure investments that will apply to any LLM-powered application stack.  Of course you don’t want to overbuild your plumbing, but good architecture makes it easier to leverage the power of LLMs.

Want to Improve Velocity & Quality with Test Automation?

Save days per development sprint by generating quality tests and user stories with GenAI.

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