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We are on a mission to radically transform the software development lifecycle.

AI-Supercharged Development

Crowdbotics accelerates enterprise app development and minimizes risks by strategically integrating AI throughout the software lifecycle.

The Challenge

MOST PROJECTS FAIL BECAUSE OF BAD REQUIREMENTS

According to the Project Management Institute, 70% of project failures happen because of bad or missing requirements. While IT builds the app they understand the business requested, more often than not, the result doesn’t actually meet the business’ needs. This happens for two reasons: first, the process of enumerating requirements is cumbersome and invariably results in missing details. Second, while the business expresses their requirements in plain language, developers think in terms of functions, features, components, and processes. There is a critical communications mismatch between IT and the business which results in misunderstandings, mistakes–and ultimately failure.

The CodeOps Future

A FRAMEWORK FOR USING AI ACROSS THE SDLC

While most AI solutions for software development focus on enhancing the developer’s IDE, there’s a broader spectrum of opportunities to leverage LLMs across the SDLC. Beyond coding productivity, AI can improve architectural decisions, data modeling, infrastructure provisioning, and even the generation of common, boilerplate code. This not only saves time but also ensures a higher level of quality and reliability. However, the most transformative potential of AI lies in establishing a robust foundation for the entire SDLC. By generating high-quality, comprehensive requirements and context, AI can significantly improve the quality and efficiency of subsequent development stages. Furthermore, this AI-driven approach dramatically reduces the risk of project failure.

Platform

Supercharging the Entire SDLC with AI

The Crowdbotics platform accelerates app development by strategically integrating AI throughout the software development lifecycle. This approach reduces development time and minimizes the risk of project failure. Starting with requirements gathering, the platform employs AI to transform business stakeholder input into detailed specifications optimized for high-performing dev teams. Even for legacy apps without documentation, Crowdbotics can reverse engineer requirements from the existing codebase using AI. Then throughout the development process, from architecture and data modeling to deployment, the platform leverages AI to drive efficiency. Rest assured, the platform works in harmony with your existing DevOps investments. The platform even integrates with GitHub Copilot to improve results by feeding it additional context. Using AI throughout the software development lifecycle, Crowdbotics speeds up development and improves the likelihood of project success.

A strategic approach to using AI across the SDLC

The Crowdbotics platform uses AI to build the strongest foundation possible for your projects–accelerating application development and guaranteeing better results.