Developer Tools & Software Engineering / Automation
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Build vs. Buy: Evaluating AI Coding Assistants for Enterprise Engineering Teams
AI-powered coding assistants are transforming software development by enhancing productivity and code quality. As enterprises face increasing project complexity, these tools streamline workflows, offering real-time error detection and learning support, while prompting teams to consider building or buying solutions.
Google Adds Raft of AI Agents and Platforms to Automate Software Development
Google recently showcased a suite of artificial intelligence (AI) agents and platforms designed to help application developers and DevOps teams automate various software engineering tasks, enhancing efficiency and innovation in the tech industry.
Applying DevOps Principles and Practices as a Quality Assurance Engineer
DevOps enhances software development through automation and collaboration, as highlighted by Nedko Hristov. Testers' curiosity and adaptability are vital for success, turning failures into growth opportunities that refine skills and practices, according to insights from Ben Linders.
Building a Distributed Multi-Language Data Science System
In the evolving landscape of automation, software developers are encouraged to embrace AI and automation tools while honing valuable, hard-to-automate skills. The authors emphasize that these technologies will not replace developers but enhance their capabilities.
AI-Powered Coding: Developer Tool Trends To Monitor in 2025
The New Stack explores emerging trends in AI-powered coding tools, highlighting options like agentic IDEs, cloud-native environments, and AI-enhanced terminals. The article emphasizes the evolving landscape and the potential preferences of new developers in 2025.
Pi
The article explores a comprehensive ML and Data Science toolkit designed specifically for software engineers, highlighting its features and benefits. The publication emphasizes how this toolkit enhances productivity and streamlines the integration of machine learning into software development.
AI-Driven Self-Healing Tests With Playwright, Cucumber, and JS
Automated testing is vital for software development, yet traditional frameworks struggle with UI changes. AI-powered self-healing automation enhances reliability by dynamically adapting locators, significantly reducing maintenance overhead and improving test stability and efficiency, according to the authors.
What Are AI Code Assistants and How Should You Use Them?
The 2024 Stack Overflow Developer Survey reveals that 76% of developers are using or planning to use AI code assistants, with Gartner predicting a rise to 90% by 2028. These tools enhance productivity, satisfaction, and organizational success.
Diffblue Launches Test Review: New Feature Gives Developers Versatility in Unit Testing Workflows
Diffblue has launched Test Review, a new feature for its AI-driven unit testing tool, Diffblue Cover. This addition allows developers to edit and verify AI-generated tests, enhancing trust and collaboration in AI-assisted workflows while improving code quality and productivity.
AI Coding Assistants Are Reshaping Engineering — Not Replacing Engineers
AI coding assistants are evolving, enhancing developer productivity by automating repetitive tasks and generating code. However, they still struggle with system design and context understanding. The New Stack emphasizes that AI will augment, not replace, software engineers.
How to Adopt Developer Tools Through Internal Champions
Successfully adopting developer tools requires a strategic approach, including identifying needs, evaluating options, planning the adoption process, training teams, and measuring success. By following these steps, organizations can enhance productivity and improve project quality effectively.
Developers Are Embracing AI To Streamline Threat Detection and Stay Ahead
Developers are increasingly leveraging AI to enhance threat detection in cybersecurity. This integration improves speed and accuracy, allowing teams to focus on strategic tasks while maintaining ethical oversight and privacy controls in automated security operations.
Article: Virtual Panel: Increasing Engineering Productivity, Develop Software Fast and in a Sustainable Way
Companies must navigate the challenge of rapid feature development while ensuring long-term product sustainability. The authors explore strategies and techniques to enhance development effectiveness, focusing on user privacy, security, accessibility, and regulatory compliance.
CodeTogether Unveils Vision AI: Engineering Intelligence Powered by AI That Turns Data Into Strategy
CodeTogether has launched Vision AI, an innovative AI-driven platform that transforms engineering performance data into actionable strategies. This tool enhances collaboration, optimizes workflows, and provides real-time insights, empowering engineering teams to improve efficiency and drive innovation effectively.
From Automation to Optimization: AI’s Expanding Role in Software Development
AI is revolutionizing software development by automating routine tasks, allowing developers to focus on creativity and problem-solving. This partnership enhances productivity and quality, positioning AI as a vital ally in the evolving landscape of technology.
10 Open Source Tools to Supercharge Your Coding Game
The New Stack highlights ten powerful open source tools designed to enhance coding productivity. From Visual Studio Code to Tauri 2.0, these applications streamline workflows, improve collaboration, and automate tasks, making them essential for developers seeking efficiency.
BrowserStack Unveils Comprehensive Test Platform to Transform Software Testing in the AI Era
BrowserStack has launched its innovative Test Platform, designed to streamline software testing for engineering teams. This comprehensive solution enhances productivity, reduces costs, and integrates AI throughout the testing lifecycle, addressing the challenges of modern development environments.
Redefining Developer Productivity: Balancing Data and Human Experience in Developer Success Measurements
DZone's 2025 Trend Report emphasizes the importance of developer productivity in delivering production-ready software tools. The article explores three key elements that influence both qualitative and quantitative metrics, highlighting the intersection of productivity, process satisfaction, and platform engineering.
TestAI
A new tool enables users to run over 1,000 automated tests for AI agents with a single click, streamlining the evaluation process. This innovation promises to enhance efficiency and reliability in AI development, making it a game-changer for developers.
Web automation testing: Types and 4 tools to streamline workflows
Explore various types of web automation testing and discover the best tools to enhance your website development and design projects. This insightful guide offers valuable information for optimizing efficiency and ensuring quality in web applications.