Adoping Vibe Coding and Agentic Software Engineering can help you in improving productivity and faster time to market. Vibe Coding tools can help solve complex challenges across the development lifecycle including building complex apps, creating design, reviewing code, explaining & debugging code.
Vibe coding uses AI tools and agents (in the IDE, console or web browser) to primarily generate code, review code and perform other code related tasks based on natural prompt by used. The term was coined by AI researcher Andrej Karpathy in early 2025
Develop comprehensive Gen AI strategies aligned with your business objectives, including use case identification, technology selection, and implementation roadmaps.
Evaluate your organization's readiness for Gen AI adoption, assessing technical capabilities, data maturity, and organizational alignment.
Build autonomous AI agents that can perform complex tasks, make decisions, and interact with systems with minimal human intervention.
Design scalable and secure Gen AI architectures tailored to your enterprise requirements and integration needs.
Develop and deploy generative AI applications, from large language models to custom AI solutions for your specific use cases.
Implement ethical AI practices, bias detection, fairness frameworks, and governance structures to ensure responsible AI deployment.
Vibe coding uses AI tools and agents (in the IDE, console or web browser) to primarily generate code, review code and perform other code related tasks based on natural prompt by used. The term was coined by AI researcher Andrej Karpathy in early 2025. Vibe coding tools like Cursor or GitHub Copilot uses powerful LLM in the behind. While initially Vibe Coding tools were mostly in IDEs, now we see them in terminal / CLIs and web browsers also.
While traditional vibe coding directly generates code from user's natural prompt, spec driven development takes a more structured approach. It uses a 4 step process to generate code - Step 1: Generate requirement from user's natural prompt. Step 2: Generate system design from requirement. Step 3: Create a list of tasks to be implementated. Step 4: Lastly, generates code following the list of tasks.
AI Assisted Software Engineering applies AI agents to not just coding, but to a wide spectrum of software engineering like generating unit tests, preparing synthetic data and creating DevOps pipeline to name a few.
Placeholder content for Agentic DevOps. Autonomous DevOps agents that handle deployment, monitoring, and infrastructure management with minimal human intervention.
Placeholder content for Agentic DevOps. Autonomous DevOps agents that handle deployment, monitoring, and infrastructure management with minimal human intervention.
Placeholder content for Agentic DevOps. Autonomous DevOps agents that handle deployment, monitoring, and infrastructure management with minimal human intervention.
Placeholder content for Agentic DevOps. Autonomous DevOps agents that handle deployment, monitoring, and infrastructure management with minimal human intervention.
AI Pair Programmer. Autocomplete-style suggestions in VS Code, Visual Studio, Neovim, and JetBrains IDEs.
An AI-first code editor. Built to increase developer productivity with AI-native features like Chat and Copilot++.
The first agentic IDE. Uses "Flow" to understand your entire codebase and anticipate your next move.
Generative AI-powered assistant for software development and AWS cloud infrastructure management.
Anthropic's advanced coding agent capable of complex reasoning, refactoring, and multi-file architecture.
Project IDX. An AI-assisted workspace for full-stack, multi-platform app development in the cloud.
The model behind GitHub Copilot. Capable of translating natural language to code in over a dozen programming languages.
Integrated AI coding assistant in the browser. Features code completion, explanation, and generation.
Generative UI system. Describe an interface and v0 generates the React/Tailwind code instantly.
Client: UK-based Automobile and Home Insurer. 500,000 quotes a day, 4 million customers
Scope: Migration of Guidewire, Apps (100+), APIs, Microservices, Data, Infra and DevOps to Azure.
Europe's first successful modernization and migration of Guidewire to cloud (> 15 mil GBP)
Tech stack: Azure, Azure VMware Solution (AVS), APIM, Snowflake, Azure Data & Integration, Guidewire
Outcome: Increased performance by 1.6 times. 4 to 5 times faster insurance adjustments. Legacy-free IT estate, APIfication, automation, data modernization, and operational cost savings.
Client: Asia based health insurance and financial services major
Scope: Modernization and cloud migration of legacy and complex apps to Azure.
Apps: 20+
Lines of code: 2 million +
Technology: Azure, Java, .NET, Sybase, SQL Server, DB2, WebSphere MQ
Client: Middle east based petroleum and natural gas major
Scope: Define strategy & platform architecture for a new Joint venture organization that would be curved out from parent company
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