InfoQ Homepage Conferences Content on InfoQ
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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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Eclipse LMOS: Launching AI Agents across Europe at Breakneck Speed
In this talk, the authors share some of our company’s key learnings in developing customer-facing LLM-powered applications deployed across Europe. They used multi-agent architecture and systems design to create an open-source set of tools, a framework, and a full-fledged platform to accelerate the development of AI agents. This is a summary of a presentation from InfoQ Dev Summit Boston 2024.
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Building Trust in AI: Security and Risks in Highly Regulated Industries
Explore the transformative power of responsible AI across industries, emphasizing security, MLOps, and compliance. As AI drives innovation—from predicting hurricanes to enhancing legal workflows—organizations must prioritize ethical practices, transparency, and robust governance to safeguard sensitive data while navigating an evolving regulatory landscape.
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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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Prompt Injection for Large Language Models
This article will cover two common attack vectors against large language models and tools based on them, prompt injection and prompt stealing. We will additionally introduce three approaches to make your LLM-based systems and tools less vulnerable to this kind of attacks and review their benefits and limitations, including fine-tuning, adversarial detectors, and system prompt hardening.
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Elevate Developer Experience with Generative AI Capabilities on AWS
This is a summary of a talk I gave at InfoQ Dev Summit Munich 2024. I discussed the transformative potential of generative AI in enhancing developer experiences, particularly through AWS. I’ll introduce key tools like Amazon Bedrock, Code Review Assistant, Agentic Code Generation, and Code Summarization in this article.
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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.
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Navigating Responsible AI in the FinTech Landscape
Explore the dynamic intersection of responsible AI, regulation, and ethics in the FinTech sector. This article highlights key challenges and innovative practices as organizations navigate compliance with evolving guidelines like the EU AI Act. Discover how to balance transparency, efficiency, and risk management for sustainable AI growth in your business.
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Transforming Legacy Healthcare Systems: a Journey to Cloud-Native Architecture
Discover how Livi navigated the complexities of transitioning MJog, a legacy healthcare system, to a cloud-native architecture, sharing valuable insights for successful tech modernization. Our experience illustrates that transitioning from legacy systems to cloud-based microservices is not a one-time project, but an ongoing journey.
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Being a Responsible Developer in the Age of AI Hype
Justin Sheehy emphasizes that AI is code, not magic, and warns against inflated claims about AI capabilities. He urges developers to approach AI with healthy skepticism, seeking verifiable evidence and focusing on ethical practices, including addressing bias, privacy, and data integrity. Clear communication about AI’s limitations and accountable use are essential to prevent hype and misuse.