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Top 25 AI Tools for Software Development in 2025

Marktechpost

From enhancing software development processes to managing vast databases, AI has permeated every aspect of software development. As businesses strive to stay competitive, adopting AI tools can streamline workflows, minimize errors, and unlock innovative possibilities.

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Carl Froggett, CIO of Deep Instinct – Interview Series

Unite.AI

This is the advantage of the platform being powered by DL and enables us to provide a proactive, prevention-first approach whereas other solutions that leverage AI and ML provide reactionary capabilities. Once the repository is ready, we build datasets using all file types with malicious and benign classifications along with other metadata.

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MLOps Landscape in 2023: Top Tools and Platforms

The MLOps Blog

Some of its features include a data labeling workforce, annotation workflows, active learning and auto-labeling, scalability and infrastructure, and so on. The platform provides a comprehensive set of annotation tools, including object detection, segmentation, and classification.