Cubyts AI (An introduction)

Cubyts AI platform powers your SDLC with state of the art AI technology with clear focus on predictable and high quality of outcomes delivered by SDLC teams. 

Why is Cubyts AI required?

Vibe coding, tool sprawl, and hidden risks are silently crippling software delivery, creating major governance gaps and rework that impact up to 70% of non-coding efforts. Cubyts addresses the following stress factors in SDLC:

1. Navigating complex code bases

New or unfamiliar codebases force developers to spend hours grasping structure—slowing productivity and increasing errors. Developers lose at least 3 months ramping up on complex codebases, delaying productivity and resulting in error-prone feature delivery

2. Aligning intent with execution

Teams often discover gaps between intent and execution too late in the software lifecycle, forcing them to scramble and fix issues reactively. 30–40% of a software team’s productive time is lost to addressing unknown issues retrospectively.

3. Inefficient software support

Developers spend a significant amount of time triaging incidents, doing repetitive RCA, and writing/maintaining documentation—taking focus away from core innovation. 25–30% of developer capacity is consumed by L2/L3 support tasks, delaying feature delivery and slowing innovation. 

4. Delayed code modernization efforts

Enterprises struggle to upgrade codebases; whether moving to newer language versions, frameworks, or cross-language migrations because of logical challenges, complexity and resource constraints. Modernization projects drag for months or years, consuming 20–40% more effort than estimated and delaying business agility. 

How does Cubyts AI work?

The working model and associated layers in the Cubyts AI platform is described below:

1. Integration layer: 

The Cubyts platform connects with your SDLC tool chain (project management tools like Jira, Definition tools like Figma, Code repositories like Github, CI/CD tools like Jenkins and Support tools like Jira Service Management), extracts the data from these tools either using PATs or using oAuth protocol.

2. Data lake layer: 

The platform builds a massive data lake by extracting multiple raw data points from the aforementioned tools. This acts as a baseline input for the other layers of the platform.

3. Knowledge graph layer:

The data points in data lake are converted to a semantic knowledge consisting of inferred data points and code from the aforementioned tools. This establishes the relationship (and the relationship strength) between artefacts (e.g. Work items from Jira, Design sections from Figma, Code branch/PR from Github, CI/CD job from Jenkins, Support tickets from JSM, etc.). The code part of the graph is an Abstract Syntax Tree representation of the codebase (behaves like a compiler) optimized for .NET, JAVA, JavaScript, Golang and Ruby; this makes the RAG factories and LLMs behave and think like a compiler.

4. RAG Factories: 

The RAG factories (based on the expected tasks) leverages the knowledge graph as the semantic context layer with state of the art prompt layer for the various solutions that are possible using the Cubyts platform.

What solutions are supported by Cubyts AI?

The Cubyts AI platform supports the following use cases and solutions:

1. Drift Guard (Reliable and Fail-proof Software delivery)

Prevents costly drifts between intent and execution—whether in requirements, coding standards, or processes. With Cubyts, teams deliver reliably and bring products to market 20–40% faster.

2. Code Navigator (Decipher complex codebase with ease)*

Cuts developer ramp-up time by 30%. Powered by Cubyts AST and AI, Code Navigator delivers instant summaries, clear dependency insights, and intuitive navigation—right where developers work.

3. RCAI (Autonomous L2/L3 support)*

Free up 30% of developers’ capacity by automating RCA, suggesting resolution paths, and backfilling documentation—shifting focus from support to innovation.

4. Code Migrator (Accelerate Code Modernization)*

Enable seamless upgrade to newer language versions or migrate across languages—powered by Cubyts’ AST and AI infrastructure for accurate, efficient modernization.

Note: Solution 1 is available for production usage, Solutions 2, 3 and 4 can be easily built on top of the Cubyts AI platform.

Conclusion

Cubyts AI is your Agentic partner powering predictable, high-quality SDLC, Set up an Agentic Workspace in Cubyts and connect your SDLC toolchain. Powered by a semantic knowledge graph and AI-driven RAG, Cubyts AI ensures reliable delivery, effortless support, and faster modernization.