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Engineers face difficulties in transitioning from deterministic programming to probabilistic agent engineering, as they often struggle to trust the adaptive capabilities of AI agents. Traditional practices, such as strict typing and error handling, clash with the need for flexibility and context-aware interactions in agent systems. Emphasizing the importance of semantic understanding and behavior evaluation, engineers are encouraged to embrace a new approach that balances trust and oversight.
The article discusses strategies for building an effective engineering team, emphasizing the importance of aligning team members' skills with organizational goals, fostering a collaborative culture, and implementing clear communication practices. It offers insights on hiring, team dynamics, and the role of leadership in cultivating a productive environment.
The article discusses the "Bitter Lesson" in AI research, emphasizing that leveraging computation is key to success, often at the expense of imposed structures. It highlights the importance of re-evaluating and adapting application structures as models improve, illustrated through the author's experiences in AI engineering and workflow development. The piece concludes with practical lessons for building AI applications effectively.
The article explores the significance of kindness in the field of engineering, highlighting how empathy and compassion can enhance collaboration and innovation among engineers. It emphasizes the importance of creating a supportive environment that fosters positive relationships and understanding within teams. By integrating kindness into engineering practices, professionals can improve not only their work but also their overall impact on society.
Establishing clear policies is crucial for startups as they grow, particularly in product and engineering teams. This guide outlines best practices for creating policies that support scaling while maintaining a strong company culture and operational efficiency.
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.
The concept of Forward Deployed Engineers (FDEs) involves embedding technical professionals with customers to gain deep insights into their challenges and needs. This approach fosters effective product discovery and development, allowing companies to create solutions that deliver real outcomes. By understanding the customer environment, FDEs can bridge the gap between product offerings and client requirements, enhancing the overall effectiveness of product creation.
Transitioning back to an individual contributor role, the author emphasizes the increasing importance of soft skills in engineering, particularly as one advances in their career. By leveraging skills such as networking, communication, supportiveness, and being outspoken, engineers can significantly impact their teams and projects, ultimately enhancing their effectiveness and career growth.
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.
FlightAware engineers address common misconceptions in aviation data, highlighting false assumptions about flights, airports, airlines, navigation, and transponders that can lead to inaccuracies in data handling. These misunderstandings have impacted their systems and customers, emphasizing the complexity of real-world aviation data management.
The author shares their positive experience with the Mapbox interview process, highlighting a take-home exercise that involved writing a blameless postmortem. This exercise emphasizes the importance of communication, empathy, and critical thinking in engineering, as it encourages candidates to analyze incidents without assigning blame and to reflect on both personal and systemic failures. The author provides an example of their own sailing incident to illustrate the postmortem concept.
Learn strategies for scaling product and engineering teams from startup phase to over $100 million in annual recurring revenue. This guide provides insights into management practices that foster growth and efficiency in tech organizations.
Miro offers a comprehensive course for engineers focused on technical diagramming, emphasizing fast, collaborative work. It features integrations with Jira and Azure, alongside tools for creating and managing diagrams effectively, while also incorporating AI to enhance workflows, backlog refinement, and retrospectives.
The article explores the transformative approach to engineering at Anduril, highlighting how urgency, ownership, and simplicity led to rapid development of advanced defense technologies. By fostering a culture of accountability and collaboration, Anduril has successfully delivered numerous innovative products to enhance national security.
The webinar featured insights from Miro power users Jan Mark Holzer and Steph Russell, focusing on how Miro enhances engineering workflows through AI-driven tools, streamlined backlogs, and improved delivery without compromising quality. Attendees learned about the effective use of AI in synthesizing customer feedback and creating diagrams efficiently. On-demand access to the webinar is available for those who missed it.
The article explores how processes and risks change at scale, highlighting the differences between small and large systems in engineering and decision-making. It emphasizes that what might seem like a negligible risk in a small context can become significant when operations are scaled up, necessitating new approaches to problem-solving. The author shares personal experiences and insights from the tech industry to illustrate these concepts.
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The article discusses the current landscape of engineering leadership, highlighting key trends, challenges, and skills necessary for effective management in engineering teams. It emphasizes the importance of adaptability and continuous learning in a rapidly evolving technological environment. Insights on fostering team collaboration and driving innovation are also presented.
Since adopting Go in 2016, American Express has gained valuable insights into its performance, efficiency, and scalability. Key learnings include improved dependency management with Go Modules, the challenges of concurrency, the importance of training for idiomatic Go, the establishment of standardized frameworks, and fostering an internal community to enhance collaboration and innovation.
Pinterest has developed TransActV2, a new model that enhances personalized recommendations by utilizing over 16,000 user actions, allowing for long-term behavior modeling and improved ranking predictions. Key innovations include a Next Action Loss function for better forecasting and scalable deployment solutions, resulting in significant improvements in user engagement metrics. The model demonstrates substantial gains in both offline and online performance, setting a new benchmark for user sequence modeling in recommendation systems.
Marius Vach discusses Richard Sutton's "Bitter Lesson," which emphasizes that general methods leveraging search and compute outperform domain-specific solutions. He argues that while engineers may feel their expertise is diminished, their role is crucial in formulating effective problems, creating evaluation systems, and setting constraints, ultimately enabling raw compute to explore solutions effectively.
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.
The article discusses methods for measuring engineering effectiveness and the impact of various metrics on team performance. It highlights the importance of aligning engineering goals with business outcomes to drive success and improve productivity. Various tools and frameworks for evaluation are also examined.
Elon Musk's assertion that UX and coding are equivalent highlights a fundamental misunderstanding between engineering and user experience, leading to a chaotic technological landscape. The article explores this divide through the lens of Bruno Latour's theories on the intersection of nature and society, arguing for the necessity of integrating human perspectives into technological development to create more effective solutions.
The article discusses Facebook's approach to distributed priority systems within its engineering teams, focusing on how it manages task allocation and prioritization across different projects. It highlights the benefits of this model in enhancing collaboration and efficiency while addressing challenges related to communication and resource management.
Anthropic is rapidly expanding its engineering team, outpacing competitors like Meta and OpenAI. Despite not offering the highest salaries, the startup is attracting engineers at a remarkable rate, hiring 2.68 times faster than it loses staff.
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.
As quantum computing advances, traditional encryption methods face potential obsolescence, prompting a dilemma for organizations on whether to invest in quantum-resistant algorithms. Amidst industry hesitance, the Signal Protocol team has successfully updated its encryption to enhance quantum resistance, showcasing a significant engineering achievement. This development marks a notable step toward securing private communications against future quantum threats.
The piece delves into the complexities of prototype development, highlighting the turf wars between design and engineering teams and the evolving roles within tech organizations. It emphasizes the need for clear definitions and collaboration to navigate the challenges posed by diverse skill sets and project demands. Ultimately, fostering a harmonious work environment is essential for successful product outcomes.
Engineering managers can enhance their effectiveness by occasionally engaging in coding themselves. This practice not only keeps their skills sharp but also fosters better communication with their teams and a deeper understanding of the technical challenges they face. Balancing managerial duties with hands-on coding can lead to more informed decision-making and leadership.
Vinoth Chandar, CEO of Onehouse and creator of Apache Hudi, discusses the evolution of Apache Hudi and the future direction of open data lakehouses in a conversation on The Joe Reis Show. The episode delves into various aspects of data engineering and the implications of open data architectures.
The article discusses Google's advancements in geothermal engineering, highlighting innovative methods to harness geothermal energy more efficiently. It emphasizes the potential of these technologies to contribute significantly to sustainable energy solutions.
GitHub engineers address platform challenges by leveraging a range of engineering practices and tools, ensuring system reliability and performance. They implement proactive monitoring, systematic troubleshooting, and scalable solutions to enhance user experience while maintaining platform integrity. Continuous improvement and collaboration among teams are key aspects of their approach to tackling complex issues.
Engineering management faces unprecedented challenges today due to rapid technological advancements, changing workforce dynamics, and the need for effective leadership. Managers must navigate these complexities while fostering innovation and maintaining team morale in a competitive environment. Adapting to these changes is crucial for success in the engineering field.
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.
The webinar focuses on leveraging Loom for enhancing collaboration within product design and engineering teams. It highlights the tool's capabilities in streamlining communication and improving project workflows through video messaging. Participants will learn how to effectively integrate Loom into their processes for better productivity and creativity.
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.
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.
LinkedIn addresses the complexities of asset ownership in engineering organizations through a structured model called "Crews," which assigns stable teams to oversee specific technical assets. This approach enhances accountability, fosters collaboration, and allows for seamless transitions during organizational changes, ultimately improving operational efficiency and clarity in ownership.
The article discusses the author's engineering values for 2025, emphasizing the importance of sustainability, innovation, and collaboration in engineering practices. It highlights the need for engineers to adapt to changing technologies and societal demands while maintaining ethical standards and a commitment to community impact. The author also reflects on personal experiences that shaped these values.
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The article discusses the importance of engineering excellence and how it can be achieved through a focus on quality and efficiency. It emphasizes the need for a strong foundation in engineering practices to foster innovation and maintain competitive advantage in the industry. By prioritizing these principles, organizations can enhance their overall performance and deliver better products.
The article discusses the evolving landscape of engineering practices, emphasizing that there is no longer a single "golden path" for software development. With the rise of diverse methodologies and technologies, teams must adapt their approaches to fit unique project needs rather than adhering to one-size-fits-all solutions.
Hiring solid engineers has become increasingly challenging, contrary to the assumption that a surplus of candidates makes it easier. Engineering managers report difficulties due to a high volume of unqualified applicants, AI-generated resumes, and candidates using AI tools during interviews, leading to ineffective traditional hiring processes. This evolving landscape may prompt a return to in-person interviews as companies struggle to find genuine talent.
Dropbox has successfully integrated AI into its engineering workflows, achieving over 90% adoption among developers by focusing on strong leadership alignment, intentional deployment, and internal knowledge-sharing. The CTO and Senior Director of Engineering Productivity discuss the importance of AI as a collaborative tool that enhances productivity, automates tasks, and redefines the software development lifecycle, while also emphasizing the need for continuous evaluation and improvement of both internal and external AI tools.
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.
Insights on scaling engineering teams are drawn from practices at Google, Facebook, and Netflix, emphasizing the importance of culture, communication, and adaptability. The article highlights key lessons and strategies that can help organizations effectively manage growth and team dynamics in fast-paced environments.
Companies looking to optimize infrastructure costs and service reliability should consider forming a performance engineering team. These teams can achieve significant cost savings and latency reductions, ultimately enhancing scalability and engineering efficiency. The article outlines the benefits and ROI of hiring performance engineers, emphasizing their role in both immediate optimizations and long-term strategic improvements.
The AI Engineer World's Fair 2025 is set to be the largest AI event of the year, taking place from June 3 to 5, 2025, featuring major AI labs, infrastructure platforms, and startups. With an expanded format including up to nine tracks, the event aims to cater to generalist software engineers, AI engineers, and AI VPs. Team ticket options are available, offering a refund for one engineer's ticket with a group purchase.
Hiring exclusively senior engineers can be detrimental to companies, as it limits diversity in experience and hinders the growth of junior talent. This practice can create a stagnant work environment where innovation suffers, ultimately affecting the company's long-term success. Balancing experience levels within teams is essential for fostering a dynamic and effective workplace.
MCP (Model Context Protocol) has gained significant attention as a standard for LLMs to interact with the world, but the author criticizes its implementation for lacking mature engineering practices, poor documentation, and questionable design choices. The article argues that the transport methods, particularly HTTP and SSE, are problematic and suggests that a more straightforward approach using WebSockets would be preferable.
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.
OpenAI is actively seeking engineers to develop cutting-edge mobile devices, indicating a strategic push into the mobile technology sector. This initiative aims to innovate and enhance user experiences through advanced AI integration in mobile platforms.
Netflix has evolved its incident management approach from a centralized model to a more democratized practice, empowering engineers to handle incidents effectively. By adopting an intuitive tool and fostering a culture of learning and ownership, Netflix aims to enhance reliability and continuous improvement in its systems.
SpaceX engineers have identified issues with the heat shield of the Starship following its recent test flight on August 26, where the rocket successfully splashed down in the Indian Ocean. Improvements are planned for future flights, particularly regarding the performance of the heat shield tiles, as most remained intact during the mission despite some visible damage and oxidation noted by Elon Musk.
Blacksmith has successfully reverse-engineered the internals of GitHub Actions cache to create a more efficient caching solution that can deliver cache speeds up to 10 times faster for users, all without requiring any code changes to existing workflows. By implementing a transparent proxy system and leveraging their own object storage, they achieved significant performance improvements while simplifying the user experience.
Port's agentic engineering platform enables the creation of autonomous workflows that enhance various engineering processes. By utilizing an internal developer portal, it aims to eliminate chaos and provide structured guidance for creativity and efficiency. A live webinar is available for those interested in learning more.
The article discusses the complexities of measuring engineering productivity, highlighting the challenges in defining and quantifying productivity metrics. It emphasizes the importance of context and multiple factors that influence productivity beyond mere output metrics, advocating for a more nuanced approach to understanding and evaluating engineering work.
The article discusses the challenges and insights from the perspective of an engineer involved in the hiring process. It highlights the importance of evaluating both technical skills and cultural fit, as well as the impact of biases on recruitment decisions. Strategies for improving hiring practices in tech are also outlined to foster a more effective and inclusive workforce.
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Engineers often resist product discovery, viewing it as a hindrance to shipping features rather than a means to safeguard investments. By reframing discovery as a risk management tool and emphasizing the value of evidence over assumptions, teams can align engineering perspectives with user-centered practices. Successful integration of discovery processes should focus on reducing uncertainty and making informed decisions based on varying stakes and evidence levels.
The article discusses methods for measuring the commercial impact of engineering initiatives at scale, emphasizing the importance of data-driven decision-making. It outlines various metrics and approaches that organizations can use to evaluate the effectiveness of their engineering efforts in contributing to business outcomes. By implementing these strategies, companies can better align their technical capabilities with commercial goals.
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.
XAI is looking to hire an engineer to develop anime-style characters for their projects, emphasizing creativity and innovation in the intersection of technology and art. The position aims to enhance user engagement through visually appealing design elements.
Cubesats are emerging as valuable educational tools for learning about space and engineering. Their small size and affordability make them accessible for students and educators, fostering hands-on experience and innovation in aerospace technology. By engaging with cubesats, learners can gain practical skills and insight into satellite operations and space exploration.
Hiring the best engineers may not be the best strategy for your organization, as it often leads to internal conflicts and a lack of collaboration. Instead, focusing on building a cohesive team with diverse skills can drive better results and foster innovation. Emphasizing teamwork and cultural fit is crucial for long-term success.
Engineers should not be forced to adopt AI tools indiscriminately, as it can lead to frustration and inefficiency. Organizations need to consider the unique needs and contexts of their engineering teams when integrating AI technologies. A thoughtful approach will ensure tools enhance productivity rather than hinder it.
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.
Amazon's engineering culture emphasizes innovation, speed, and a willingness to embrace failure as part of the learning process. The company promotes a unique blend of customer obsession and data-driven decision-making, which fosters a competitive environment where engineers are encouraged to think big and take risks. This approach not only drives technological advancement but also shapes the company's overall business strategy.
The article discusses the importance of securing engineering buy-in for projects and initiatives within organizations. It emphasizes strategies for effectively communicating ideas and fostering collaboration among stakeholders to ensure successful implementation and support for engineering efforts.
Impulse is Airbnb's internal load-testing framework designed to enhance the reliability and efficiency of system-level testing. It features a range of tools including a load generator, dependency mocker, traffic collector, and testing API generator, enabling engineers to conduct self-service load tests that integrate seamlessly with CI/CD pipelines. This decentralized architecture allows for context-aware testing, accurate simulation of production conditions, and better management of system performance under varying traffic scenarios.
China's CHSN01 super steel represents a significant advancement in material science, offering enhanced strength and durability compared to traditional steel. This innovative alloy is expected to revolutionize various industries by improving the performance and longevity of steel structures. The development underscores China's growing expertise in high-performance materials.
The article discusses Instagram's efforts to scale its recommendation system to handle 1,000 models, detailing the challenges faced and the strategies implemented to enhance user experience through personalized content. Key aspects include improvements in algorithm efficiency and data processing techniques.
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 presents insights from the "State of Analytics Engineering 2025" report, highlighting the evolving landscape of analytics engineering and its importance in data-driven decision-making. It discusses trends, challenges, and the growing demand for skilled analytics professionals in organizations aiming to leverage data effectively.
Notion AI Agents can streamline product development by automating tasks such as updating documents, generating status reports, and providing contextual information. The article presents 25 use cases that demonstrate how these tools can enhance collaboration and efficiency for product and engineering teams.
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.
Learn how to scale product and engineering teams from inception to achieving over $100M in annual recurring revenue. This guide provides essential metrics and strategies for effective team growth and management.
The article discusses advanced applications of CNC (Computer Numerical Control) machining as shared by Reddit users, highlighting techniques like five-axis machining, AI-driven toolpaths, and specialized uses in industries such as aerospace, medical, and automotive. It also encourages exploring related subreddits for further insights and community engagement in the field of machining.
The article discusses the challenges and opportunities in creating software for hardware engineering, emphasizing the need for tools that respect the complexity and technicality of hardware systems. It highlights the importance of understanding the engineering process and avoiding common pitfalls in software development to better serve hardware engineers. The author encourages a more thoughtful approach to software design that aligns with the realities of hardware engineering.
The article discusses the polarized opinions on AI-assisted coding, highlighting that many engineers have differing experiences and perspectives based on their competence levels. It emphasizes the danger of oversimplifying the discourse, as less experienced engineers may promote AI tools without recognizing the quality issues they create, while seasoned engineers often critique these tools due to their understanding of good coding practices and potential technical debt. The author warns that amidst the hype, distinguishing credible voices from the crowd is challenging.
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.
The article explores the engineering marvels surrounding Niagara Falls, detailing the geological and hydrological features that have led to significant infrastructure developments such as the Welland Canal. It highlights how these engineering feats facilitate shipping and electricity generation, transforming the region into a crucial transportation hub.
The article provides insights and advice for new principal tech individual contributors (ICs), emphasizing the shift in focus from hands-on coding to influencing and aligning teams, fostering communication, and teaching the organization to value new ideas. It highlights the importance of understanding one's strengths and the broader impact of their role in shaping technical vision and collaboration across departments.
The article discusses common mistakes engineers make during code reviews, emphasizing the importance of understanding the codebase as a whole rather than merely reviewing the diff. It advises against leaving excessive comments and highlights the need to avoid imposing personal coding preferences on colleagues, advocating for more constructive and concise feedback.