Stride

Reduced technical debt and increased developer productivity.

Engineering

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Technology

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Reinforcement Learning

Project Overview

AI-driven tool for managing and mitigating technical debt by automating code maintenance, testing, and refactoring tasks.

Layman's Explanation

Stride Conductor uses AI to handle tedious coding tasks that pile up over time, like fixing outdated code and running tests, freeing up developers to focus on new projects.

Analogy

Imagine a maintenance team that not only fixes issues in the background but also anticipates and prevents new ones, keeping everything in top shape without much supervision.

Details

Stride Conductor is an AI-based solution that uses a team of collaborative agents to tackle technical debt in real-time. By automating static analysis, code testing, and large-scale updates, it handles low-level code maintenance tasks that often slow down developers. The multi-agent setup enables the system to work semi-autonomously, integrating seamlessly into development environments and generating transparent, explainable code. This empowers teams to address maintenance backlogs efficiently, reducing developer burnout and allowing teams to focus on high-impact projects.

Project Novelty

The multi-agent, LLM-driven approach is innovative, enabling collaborative, autonomous management of technical debt in a highly integrated manner.

Project Estimates

Timeline:

12 months

Cost:

$400,000

Headcount:

6

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