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Virtual Panel: How Software Engineers and Team Leaders Can Excel with Artificial Intelligence
Artificial intelligence is impacting the individual work of software developers, how professionals work together in teams, and how software teams are being managed. In this panel, we'll discuss how artificial intelligence is reshaping software development, and what mindset and skills are required for software developers and engineering leaders to become adaptable and resilient in the age of AI.
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One Network: Cloud-Agnostic Service and Policy-Oriented Network Architecture
Bringing together software infrastructure leads to faster development time and easy control of large, spread-out systems through clear rules. In this QCon SF 2024 presentation, Anna Berenberg shared learnings and achievements when building One Network, addressing complex infrastructure layers, open-source integration, and uniform policy enforcement for improved reliability and security.
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Optimizing Search Systems: Balancing Speed, Relevance, and Scalability
Innovative software engineer focused on optimizing search performance in dynamic environments. This article highlights key strategies from our QCon San Francisco 2024 presentation, addressing challenges faced by platforms like Uber Eats in data indexing and retrieval. Our advancements ensure swift, relevant user experiences amidst ever-growing datasets.
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Inflection Points in Engineering Productivity as Amazon Grew 30x
In this article, Carlos Arguelles elaborates on how engineering productivity needs a shift as organizations scale. He shares examples from his time at Google and Amazon, explaining how some architectural decisions made at these companies shaped the way they develop software. Engineering productivity investments depend on inflection points, scale, controls, data, and tooling choices.
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From Code to Charisma: Emotional Mastery for Tech Leaders
In tech, leadership is about more than managing projects—it's about influencing teams and driving collaboration. This article explores how understanding the brain’s states—rational, emotional, and survival—can enhance decision-making and innovation. By mastering emotional regulation, trust, and psychological safety, leaders can empower teams to thrive and unlock their full potential.
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Legacy Modernization: Architecting Real-Time Systems around a Mainframe
At its heart, our transformation journey is about breaking dependencies at multiple levels. Many enterprises face similar challenges with legacy systems: tightly coupled architectures that are difficult to scale, change, or maintain. For us at National Grid, the solution came through four complementary paradigms that worked together to enable different forms of decoupling.
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Renovate to Innovate: Fundamentals of Transforming Legacy Architecture
Rashmi Venugopal explores the inevitability of legacy systems in successful companies and the importance of transforming legacy systems to accelerate innovation. Rashmi discusses various strategies to tackle such technical renovation initiatives, like evolutionary architecture, deprecation-driven development, and intentional organization design.
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Virtual Panel: Increasing Engineering Productivity, Develop Software Fast and in a Sustainable Way
Companies need to balance between rapid feature development and long-term product sustainability. Engineers are taking on more left-shifted, cognitive load as their features intersect with user privacy, security, accessibility, and regulations. We'll discuss approaches, philosophies, and techniques that companies and products applied to improve the effectiveness and efficiency of development.
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Prompt Engineering: Challenges, Strengths, and Its Place in Software Development's Future
Prompt engineering is evolving as a crucial skill that bridges AI communication and programming, blending creativity and precision to shape the future of software development. The future of software development might involve a synergistic blend of both approaches. Prompt engineering can accelerate prototyping and enhance interactivity, while traditional programming ensures robustness.
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Launching GenAI Productivity Tools: Insights and Lessons
In this article, based on a talk at QCon San Francisco 2024, author Mandy Gu shares some of the ways her company uses GenAI to enhance productivity and the lessons they learned along the way, including failed bets and features that were rolled back because of low user adoption. Most important, they learned to focus on building tools that were aligned with business goals.
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A Framework for Building Micro Metrics for LLM System Evaluation
LLM accuracy is a challenging topic to address and is much more multi-dimensional than a simple accuracy score. Denys Linkov introduces a framework for creating micro metrics to evaluate LLM systems, focusing on goal-aligned metrics that improve performance and reliability. By adopting an iterative "crawl, walk, run" methodology, teams can incrementally develop observability.
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Virtual Panel: How to Become a Principal Engineer
As a software engineer or individual contributor, the next step in your career can be to become a principal engineer. The path to becoming a principal engineer at companies can feel unclear, which can inhibit individual engineering careers. But that also provides opportunities for engineers to invent and shape the role of principal engineers.