Cubyts is your AI Assistant for Proactive SDLC Governance, Cubyts integrates seamlessly with tools teams use (e.g. Jira, GitHub, Figma, Jenkins, etc.) to build their products; the platform enhances the development process with real-time insights, proactive flagging of potential issues, and data-driven decision-making, that ensures superlative Developer, Engineering and Execution excellence.
In this article, we comprehensively cover the network, data and information security architecture and policies.
Why is Cubyts required?
Cubyts operates on the hypothesis that tech debt arises from multiple types of drifts, which hold the team or organization back, disrupt delivery, strain the team, and increase costs—all without being immediately visible.
There are studies from credible sources (a few are listed below for reference) that clearly establishes that tech-debt is a silent drag and costs enterprises trillions.
33-150% delay in feature release, based on a study conducted by Cornell University.
33% of engineer's time spent on tech-debt, based on a paper submitted by one of the leader fin-techs (Stripe).
25% of tech budget spent on maintenance (which includes time and money time on resolution of tech-debt), based on a paper published by McKinsey.
Cubyts is built to address these challenges, enabling discovery of all the undercurrents (a.k.a drifts) that can potentially cause (unknown) tech-debt.
Types of drifts
Drifts occur everywhere—in processes, code, and documents, etc. By integrating with a wide range of tools used by teams to build digital software, Cubyts provides a methodical and structured approach to identifying drifts.
Process drift: Deviation from established processes causing Missed deadlines, Wasted effort, and Reduced team efficiency.
Technology drift: Technology and code quality drifts resulting in Increased debugging time, Delayed delivery, and Higher technical debt.
Compliance drift: Missed adherence to infosec, regulatory standards resulting in audit risks.
Feature drift (coming soon): Deviation from PRDs, User stories, Feedback resulting in Unplanned work, Delayed launches & Unrealized customer expectations.
Cubyts discovers and resolves drifts in real time by integrating with the SDLC stack, using AI to detect risks, predict impacts, and flag tech drift in real time (Take a look at this video for more details). With automated resolutions and actionable insights, it streamlines workflows, reduces rework, and boosts delivery efficiency for faster, high-quality software releases.
The core features of Cubyts
The four core features of Cubyts are as follows:
How does Cubyts work and what are the applications?
Connects to your SDLC stack, integrating with tools like Jira, Git, and CI/CD pipelines.
Flags tech drifts, detects risks and predicts impact in real-time using AI.
Recommends actionable insights and auto-resolves drifts during development.
Streamlines workflows to reduce rework and enhance delivery efficiency.
Conclusion
Use Cubyts as your silent AI assistant to review and fix process, feature, code and compliance/regulatory drifts. Enjoy reduced tech-debt, faster delivery, higher productivity, and stronger alignment with business goals.
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