Robotics expert Ken Goldberg discusses the challenges and advancements in robotics as we approach 2025. He highlights the limitations of current technologies while emphasizing the importance of combining AI with traditional engineering to improve robots' capabilities in tasks that are intuitive for humans.

TRAE is an AI-driven platform designed to function as a highly efficient software engineer, capable of independently creating software solutions. It emphasizes a smoother user experience and faster response times, encouraging users to explore its capabilities.

The article showcases on-demand videos from the {unscripted} VIRTUAL conference, featuring insights from various industry leaders in software engineering, DevOps, and cloud operations. Key speakers include executives from companies like Deluxe, Sony, and Capital One, who discuss the future of AI-powered software delivery and related innovations.

AI is transforming engineering workflows by boosting productivity and accelerating processes, but over-reliance on it poses risks to critical thinking and skill development. To cultivate great engineers, teams must intentionally integrate AI while ensuring that learning, ownership, and quality are not compromised. Emphasizing accountability and deep understanding over mere speed is essential for sustainable growth in engineering expertise.

The article highlights a series of on-demand videos from the {unscripted} VIRTUAL conference, featuring industry leaders discussing the future of AI-powered software delivery. Experts from various companies share insights into enterprise architecture, security, DevOps, and cloud operating models, showcasing the evolving landscape of software engineering and technology.

Leading engineering experts will share insights on optimizing cloud strategies at the hybrid Autocon event in San Jose, CA, on June 17. Attendees will learn from industry legends who have significantly reduced costs and enhanced application performance, gaining valuable lessons in cloud management and innovation.

The article discusses how GitHub leveraged Copilot to enhance their secret protection engineering efforts, resulting in significant efficiency improvements. By integrating AI-driven tools, the team was able to accelerate their workflows and improve code security practices. This initiative illustrates the potential of AI in streamlining complex engineering tasks.

Anthropic engineers are integrating AI coding agents into their workflows, adapting to the evolving landscape of software development. The article discusses how these AI tools are redefining traditional developer tasks and emphasizes the importance of upskilling engineering teams to leverage these advancements effectively.

The author discusses the concept of compounding engineering, where AI systems learn from past code reviews and bugs to improve future development processes. By utilizing AI like Claude Code, developers can create self-improving systems that enhance efficiency and reduce repetitive work, ultimately transforming how they approach coding and debugging.

The author discusses feelings of imposter syndrome in the context of the increasing claims of productivity boosts among engineers using AI tools. After experimenting with various AI coding assistants, they conclude that while AI can assist in coding, it does not lead to the drastic productivity gains often claimed, emphasizing the importance of understanding the limitations of AI in software development.

The evolution of internal developer portals into agentic engineering platforms is transforming software development by leveraging AI to automate tasks traditionally performed by humans. Port's Agentic Engineering Platform aims to address engineering chaos by providing AI with the necessary context, guardrails, and collaboration tools to enhance software delivery and maintain control over the development process.

Profound has announced a $35M Series B investment led by Sequoia Capital to enhance its platform for marketing to AI, positioning itself as a crucial tool for businesses seeking to connect with superintelligence. The company aims to build a world-class engineering team to tackle the complex challenges of creating AI-optimized content, moving beyond traditional marketing methods.

The article discusses the principles and methodologies for building effective AI agents, emphasizing the importance of aligning agent behavior with human values and preferences. It highlights various engineering practices and considerations that lead to the development of robust and reliable AI systems.

The article explores the development of Claude Code, a revolutionary AI-powered development tool that has rapidly gained popularity since its release. It highlights the innovative tech stack, rapid feature prototyping, and the AI-first approach that characterizes the engineering practices at Anthropic, providing insights into the future of software development with AI integration.

NodeSmith is an AI-driven automation system developed by Coinbase that streamlines the process of upgrading blockchain nodes across more than 60 networks. By reducing engineering effort by 30% and ensuring no mandatory upgrades are missed, it enhances operational efficiency and reliability in managing blockchain infrastructure.