
Manish Kapur
Articles
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Dec 23, 2024 |
thenewstack.io | Manish Kapur |Kimberley Mok |Octavian Tanase |Janakiram MSV
AI is the new frontier, and developers understand now is the time to embrace it if they haven’t already. This undeniable component of software development is changing the landscape of software development as we previously knew it. Adoption is now a table-stakes issue for any organization looking to meet the growing need for software in business. As that need continues to increase, so does the demand for software developers to write more code on which the software is based.
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Sep 3, 2024 |
thenewstack.io | Manish Kapur
Today’s developers can’t look at speed and quality as trade-offs. In our modern software landscape, teams need to see these demands as a tightly interwoven dance. The “shift left” philosophy, a popular mindset among developers, takes into account the need to strike a balance between the two. This approach urges developers to move critical checks and guardrails, such as code security and quality analysis, earlier in the software development life cycle (SDLC).
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Aug 27, 2024 |
securityboulevard.com | Manish Kapur
With so many Large Language Models (LLMs) out there, selecting the right LLM is crucial for any organization looking to integrate AI into its operations. Whether you're developing AI-driven applications, automating tasks, or exploring AI for code generation, your choice of LLM can significantly influence your project's success. Before diving into the technical details of selecting a Large Language Model, it's crucial to first define your business goals and specific use cases.
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Jul 8, 2024 |
securityboulevard.com | Manish Kapur
By Manish Kapur One critical metric to gauge the effectiveness of your code testing efforts is code coverage. SonarQube, a powerful static code analysis solution, integrates seamlessly with code coverage tools, empowering developers to write cleaner, more secure, and thoroughly tested code ... Read More
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Jul 8, 2024 |
securityboulevard.com | Manish Kapur
Ensuring your code is thoroughly tested allows you to update it with confidence, as failing tests will quickly identify any functional issues. It also helps maintain the overall quality and reliability of your software. One critical metric to gauge the effectiveness of your testing efforts is code coverage. SonarQube, a powerful static code analysis solution, integrates seamlessly with code coverage tools, empowering developers to write cleaner, more secure, and thoroughly tested code.
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