Study shows AI coding assistants actually slow down experienced developers

AWS Kiro represents a significant advancement in AI-driven development tools. By combining features such as natural language prompt conversion, multimodal input, and automation through agent hooks, it enables developers to work smarter and faster. Its compatibility with VS Code and cross-platform support make it an adaptable solution for both individual developers and teams. Whether you are prototyping a new application or refining an existing system, AWS Kiro’s AI-powered capabilities provide the tools you need to achieve your goals with precision, efficiency, and confidence. To demonstrate the capabilities of Taskmaster AI, consider building a YouTube metadata extractor. This application retrieves video metadata—such as titles, descriptions, transcripts, and comments—and organizes it into a structured JSON file.

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Devin is handling routine tasks at Goldman Sachs, such as updating internal codebases to newer programming languages. Assignments often considered tedious by human developers are now being offloaded to the agent as part of a larger strategy to free up engineers for higher-value work. In comments to CNBC, Chief Information Officer Marco Argenti said the AI will take on real software development tasks, starting with low-level engineering work. While Devin doesn’t require training, vacations, or breaks, it will be closely supervised by Goldman’s developers as the bank explores the future of human-AI collaboration. Despite the productivity setbacks, 69% of study participants continued using Cursor after the experiment ended, suggesting developers value aspects beyond pure speed.

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This flexibility ensures that your workflow remains efficient and adaptable, even as project requirements change. By continuously refining tasks and addressing dependencies, you can maintain momentum and achieve your development goals. Despite the slowdown, many participants and researchers continue to use AI coding tools. They note that, while AI may not always speed up the process, it can make certain aspects of development less mentally taxing, transforming coding into a task that is more iterative and less daunting. Most tellingly, developers accepted less than 44% of AI-generated code suggestions, with 75% reporting they read every line of AI output and 56% making major modifications to clean up AI-generated code.

Taskmaster AI provides the tools needed to overcome these challenges effectively. Industry forecasts suggest the release of new Vision Pro models in 2025 and 2028, as well as the introduction of Vision Air in 2027. Additionally, Apple is reportedly working on smart glasses and XR glasses with AI integration, expected to launch in 2027. These devices are anticipated to further expand the possibilities of XR, offering users new ways to interact with digital environments. Vision OS 26 introduces persistent widgets designed to keep you informed without disrupting your workflow. These widgets provide real-time updates on essential information, such as weather, news, and calendar events, and remain visible within your field of view.

• AI tools may still offer greater benefits to less experienced programmers or those working on unfamiliar or smaller projects.
• Post-experiment, participants estimated that AI had reduced their completion time by 20%, despite data showing the opposite.
• While still in its early stages, this technology underscores Apple’s commitment to innovation and its vision for the future of XR.

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The IDE’s JSON-based configuration system further enhances flexibility, allowing you to manage MCP servers and settings efficiently. This streamlined workflow ensures that you can focus on delivering high-quality applications while minimizing bottlenecks and delays. As your project evolves, you may encounter new dependencies or need to refine existing tasks. Taskmaster AI simplifies this process by allowing you to modify tasks, update dependencies, and integrate additional tools or frameworks as needed.

Gain insight from top innovators and thought leaders in the fields of IT, business, enterprise software, startups, and more. Each developer estimated how long a task would take with and without AI, then worked through the issues while recording their screens and self-reporting the time spent. Participants were compensated $150 per hour to ensure professional commitment to the process. The results remained consistent across various outcome measures and analyses, with no evidence that experimental artifacts or bias influenced the findings.

The findings arrive as enterprises pour billions into AI coding tools, with the METR study noting that GitHub reports 41% of new code is now AI-generated. Yet the research reveals a fundamental trust deficit that may be undermining effectiveness. We find that when developers use AI tools, they implement issues in 19% more time on average and nearly all quantiles of observed implementation time see AI-allowed issues taking longer. AWS Kiro distinguishes itself with its ability to translate natural language inputs into structured outputs, such as system architectures, detailed specifications, and implementation plans. This capability eliminates the need for manual interpretation of requirements, allowing you to focus on high-priority tasks and strategic decision-making. With tasks defined and analyzed, use Gemini Code Assist to execute them step by step.

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• The study’s findings suggest enterprise technology leaders should approach AI coding tools with measured expectations.
• All participants recorded their screens, providing insight into actual usage patterns, with tasks averaging two hours to complete, the study paper added.
• This document serves as a blueprint for task generation and execution, making sure that your project remains aligned with its objectives and avoids unnecessary deviations.
• This feature is particularly valuable for augmented reality (AR) applications, as it enables developers to create experiences that blur the boundaries between digital and physical spaces.
• These widgets provide real-time updates on essential information, such as weather, news, and calendar events, and remain visible within your field of view.

However, the biggest security consideration with MCP is around tool execution itself. Many tools need (or think they need) broad permissions to be useful, which means sweeping scope design (like a blanket “read” or “write”) is inevitable. Even without a heavy-handed approach, your MCP server may access sensitive data or perform privileged operations — so, when in doubt, stick to the best practices recommended in the latest MCP auth draft spec.