5 Essential Skills Every Software Engineer Needs in 2025

DEV Community•Sunday, November 16, 2025 at 7:48:25 PM

The software engineering landscape is rapidly evolving, driven by new tools, advanced automation, and the rise of artificial intelligence. As we approach 2025, employers are looking for software engineers who not only write efficient code but also possess a deep understanding of systems, can collaborate effectively, and are proactive in adapting to changes. Essential skills for software engineers in 2025 include mastery of AI-driven development, which enhances productivity and minimizes repetitive tasks, as well as strong foundations in computer science. These skills are crucial for developers at all levels, from beginners to experienced professionals.

— via World Pulse Now AI Editorial System

Read Original

Was this article worth reading? Share it

One More Thing in AI

Master AI with curated tools and tutorials for practical, real-world applications.

Excelorithm

Streamline your software development process with efficient, automated workflow solutions.

Tech & Developer ToolsView app details

Valuepitch

Build and deploy AI applications faster with streamlined tools and workflows.

Business & ProductivityView app details

Cybee AI

Secure your startup's compliance with AI-powered cybersecurity and SaaS solutions.

Tech & Developer ToolsView app details

AI Best Tools

Discover top AI tools to stay current with the latest in development and innovation.

Business & ProductivityView app details

V2 Chrome Extension List

Discover and apply to 5,000+ tech opportunities directly from your browser.

Tech & Developer ToolsView app details

Continue Readings

arXiv — cs.CV2 days ago

Developing Predictive and Robust Radiomics Models for Chemotherapy Response in High-Grade Serous Ovarian Carcinoma

PositiveArtificial Intelligence

A recent study has developed predictive and robust radiomics models aimed at assessing chemotherapy response in patients with high-grade serous ovarian carcinoma (HGSOC), a cancer typically diagnosed at an advanced stage. The research utilizes machine learning techniques to analyze computed tomography imaging data, enhancing the prediction of neoadjuvant chemotherapy response.

Read full article

via arXiv — cs.CV

arXiv — cs.CV2 days ago

Application of Ideal Observer for Thresholded Data in Search Task

PositiveArtificial Intelligence

A recent study has introduced an anthropomorphic thresholded visual-search model observer, enhancing task-based image quality assessment by mimicking the human visual system. This model selectively processes high-salience features, improving discrimination performance and diagnostic accuracy while filtering out irrelevant variability.

Read full article

via arXiv — cs.CV

arXiv — cs.CV2 days ago

Global 3D Reconstruction of Clouds & Tropical Cyclones

PositiveArtificial Intelligence

Recent advancements in machine learning have led to the development of a new framework for the 3D reconstruction of clouds and tropical cyclones (TCs) from satellite imagery, addressing the challenges of accurate TC forecasting. This framework utilizes a pre-training and fine-tuning pipeline to convert 2D satellite images into detailed 3D cloud maps, significantly enhancing the understanding of TC structures.

Read full article

via arXiv — cs.CV

arXiv — cs.LG2 days ago

Tuberculosis Screening from Cough Audio: Baseline Models, Clinical Variables, and Uncertainty Quantification

NeutralArtificial Intelligence

A new standardized framework for automatic tuberculosis (TB) detection from cough audio and clinical data has been proposed, aiming to establish a reproducible baseline for TB prediction. This framework addresses inconsistencies in previous studies, which varied in datasets, cohort definitions, and evaluation metrics, making it challenging to compare results.

Read full article

via arXiv — cs.LG

Ready to build your own newsroom?

Subscribe to unlock a personalised feed, podcasts, newsletters, and notifications tailored to the topics you actually care about