Stride Conductor

Skip the gimmicks with the only AI codegen tool custom built for your environment

Imagine a world where you don't have to worry about the mundane tasks sitting in your backlog. A world where you can dedicate all your efforts to developing code that's critical for driving growth.

Introducing Stride Conductor – powered by multiple GenAI agents that seamlessly integrate into your workflow, tailored to your specific needs. These agents not only understand your requirements and your codebase, whether it's legacy or new, but also have the capability to develop new features. Tasks that once took developers 4-8 hours to code, such as 1-point stories, can now be completed in seconds—applicable to both new and existing codebases. This frees your most important resource, your people, to focus on what's important for your business!

Conductor writes code in seconds, with no human prompts required!

  • Generate custom code for both new and legacy codebases – in seconds.
  • Pulls requirements directly from backlog, writes tests, generates new or modified code, and commits code - all without human intervention.
  • Seamlessly works with both front and back end stacks.  Decomposes larger and granular tasks into discrete steps.
  • Critiques itself and produces inspectable chains of thought and action
  • Tool, platform and programming language agnostic, fits into your workflow. Not the other way around.

Copilot isn’t enough; you need Stride Conductor

Copilot is a useful tool in your GenAI toolkit. But, Stride Conductor takes you a meaningful step forward beyond autocomplete into automatic code generation. Our teams of AI agents build features using your existing code patterns and fit into your optimized CI/CD workflows in just seconds, so that you can free your developers to do your highest value work.

Say Goodbye to Legacy Code Migration

Stride Conductor uses your legacy code to train itself securely, in your environment.

And, by using our proprietary multi-agent technology, we can modernize even the gnarliest code bases in a fraction of the time it would take a team – up to 75% faster than traditional software development methods, setting a new standard in speed and innovation.

Amplify Your Team’s Productivity and Value

The Stride Conductor framework differs from existing tools such as GitHub Copilot, which requires a dedicated human developer at all times.

Stride Conductor fits within your existing workflow and can complete tasks including story refinement, technical planning, unit test creation, coding, critique/review and test automation, all semi-autonomously with human oversight and observability. Resulting in higher developer productivity and autonomy.

Stride Conductor Flow

Stride Conductor will amplify your team's productivity. Let us show you how.

See how Stride Conductor can impact your own code

We want to show you how Stride Conductor can work on your own codebase and not just another generic demo. So you can experience first hand a truly transformative improvement to your software development process.

Tailored demo process:

  • Integrated live demo - see first hand how Stride’s multi-agent approach works in your secure environment. Stride Conductor pulls stories from your backlog and writes new code that you own
  • Assessment of your software processes, from requirement to deployment
  • Analysis of backlog to assess potential Stride Conductor impact
  • Configuration of Stride multi-agent framework for your codebase
  • Training plan, materials and sessions to up-skill your people
  • 30 day pilot - gain access to Stride’s suite of agents, and a small Stride team, to ensure the tool is set up in your environment
Right side lines

Why Stride Conductor?

Right side lines

Stride Conductor is not a rip and replace. Stride Conductor learns your existing code patterns to build features, identifies CI/CD inefficiencies, and optimizes workflows to maximize efficiency, quality, and speed. Stride Conductor is a solution that scales with you, continuing to deliver value as your business grows

Like most companies, we were curious and excited about LLMs. We were having a lot informal chats, sharing the latest articles and even did a few spikes. In 6 weeks, Stride empowered the delivery of a fully secure and hosted LLM that allowed our teams to safely start solving business use cases with LLMs - just in time for an upcoming hackathon!”
Quote
CLEAR logo
Nick Peddy, CTO, CLEAR

FAQs

Frequently Asked Questions about Stride Conductor

Should I have legal concerns about LLM-generated code?

Stride typically uses OpenAI’s models for code generation, and OpenAI offers a “Copyright Shield”, meaning that they will indemnify their customers from copyright claims against works produced using OpenAI technology. Microsoft offers a comparable copyright shield for GitHub Copilot and for Azure OpenAI Service. If you have concerns about using LLM-generated code in your environment, please reach out to us, we’re happy to discuss.

Will my code decline in quality due to a decrease in human oversight?

To the contrary!  One of the best things about LLM-generated code is that patterns and conventions in your codebase are actually easier to enforce, since LLMs are great at following well-specified rules.  The process of configuring agents to work with your codebase includes this kind of enforcement, typically via testing agents, code context agents and/or “critic” agents who help improve generated code before it’s ready to commit.  Our process keeps humans in the loop in multiple ways, including code and architecture reviews, which offer additional opportunities to keep standards high.

I am waiting for Microsoft or any other big company to come up with this. Why not just wait?

Waiting has real cost – and acting now creates compound benefits. If you can save 10% of your current engineering expenditure each month, you can reinvest that capacity into higher value work, and also take advantage of the steep improvement curve on LLM tooling to save even more capacity over time. As for when MS or anyone else will solve this problem, frankly, we think they won’t. Our semi-autonomous approach requires such substantial changes to the way software teams think and work that we don’t think off-the-shelf software can solve for it in the short term. You will need a mix of consultative help and software to create the new workflows and processes that work for your team.

Right now, I have my junior developers doing these kinds of simple stories.  How will I train them if AI can do that work?

This speaks to the fact that we as software builders have typically underinvested in training and apprenticeship.  Doing one point stories doesn’t teach you to be an architect or a master coder – working with mentors and solving hard problems does!  Stride believes in pairing, and we believe pairing engineers across levels and pairing product/design/engineering across functions is the best way to create a ladder for junior engineers while taking full advantage of LLMs and their coding abilities.

What if we still need to invest heavily in human oversight?

Every team has a different level of comfort with autonomy in the development process – some have senior engineers audit every change, others rely heavily on automation.  We believe that regardless of your comfort level, there will be opportunities to save on the time and effort required to produce raw code and documentation.

Should my team be afraid of efficiencies created by LLM tools?

Stride believes that great engineers will continue to be incredibly valuable to businesses that depend on software. We also believe that pumping out code that a robot can write is a bad use of their time! We are committed to creating tools and processes that free your engineers to do your highest value work, while preserving and accentuating what makes them (and all of us) human.