Accelerate development, reduce rework, and deliver better software faster. At NEC Software Solutions India, our AI-assisted coding framework leverages intelligent tools like GitHub Copilot to streamline coding, debugging, and automated testing, enabling faster delivery with higher accuracy and quality.
Our AI models assist coders with intelligent and context-aware code suggestions to accelerate code development. It also helps developers by auto-completing code, generating boilerplate templates and recommending logical next steps, allowing team to focus on their core-competencies.
We leverage AI to analyse existing codebases and recommend restructuring to make it cleaner, more modular and easier to maintain, without altering it’s functionality. It also assists in identifying redundant logic, improve code efficiency and align with best practices.
Our AI engines analyse code structure and logic to generate unit test and functional test. It also helps in predicting potential edge cases, validates input-output relationships and ensures each function works as expected. Our AI tools deliver reliable and stable software releases as it increases the test coverage, identifies defects and reduces manual testing time.
Reduce rework and downtime with AI- powered debugging. Our AI tools help in identifying the root cause of bugs, predict potential failures and suggest fixes by analysing error logs and stack traces. Learning from past defects enhances system’s accuracy, ensuring faster resolution and smarter error handling.
Maintain top–tier codes with AI driven code reviews. Our platform evaluates codes for compliance with coding standards, security best practices and industry benchmarks. It performs real-time quality checks on code-submissions, flags logic flaws or insecure patterns and ensure every commit meets quality, security and performance requirements before deployment.
Our primary focus is GitHub Copilot due to its deep IDE integration and measurable productivity gains for development teams.
We begin with comprehensively evaluating your existing development workflows, coding practices and team readiness to identify the areas where AI needs to be implemented, whether it’s accelerating code generation, optimizing reviews or automating testing.
Next, we execute a focused pilot sprint to validate the effectiveness of implementing AI assisted coding. We measure tangible improvements in developer productivity, delivery speed and defect reduction, offering insights into tool performance before scaling further.
After successful pilot sprint, we execute a full-scale integration of AI tools into your development ecosystem, which includes embedding AI aassisted features into your daily workflows, CI/CD pipelines, version control frameworks and testing frameworks.
Finally, we help you implement AI assisted coding across teams and projects. We leverage internal guides and best practices for seamless AI integration across teams and help developers to use AI confidently. This stage helps in building a sustainable AI-driven development culture, ensuring long-term scalability, quality, and innovation.
Our AI-assisted coding approach delivers measurable improvements across engineering efficiency, code quality and business outcomes.