Docker, Inc’s Post

"AI is not a trend" but a fundamental shift in software development. Docker's AI Trends Report 2024 shows key findings on how AI is impacting and improving development practices and how there is an increasing reliance on AI in everyday practices as the perception of it changes positively. Docker is fueling the mission to support developers with powerful solutions and provide the necessary tools to increase productivity and a richer experience. #ai #docker #development #developers

How do developers feel about AI? The majority (65%) agree that AI is a positive option, it makes their jobs easier (61%), and it allows them to focus on more important tasks (55%). A much smaller number of respondents see AI as a threat to their jobs (23%) or say it makes their jobs more difficult (19%). 

A great read on the transformative impact of artificial intelligence (AI) on application development and the emerging opportunities for improving development practices. Striking to see the rate of adoption and areas of positive impact. For those looking to accelerate their journey, the learn more section has some great resources or reach out to us directly.

Excited to share insights on navigating the challenges of generative AI in software development! ForbesTechCouncil article dives into key strategies for leveraging AI's potential while addressing complexities. From data quality to ethical considerations, it's crucial to approach with caution and creativity. Join the conversation on how we can harness generative AI for innovative solutions. Read More: https://lnkd.in/etGRiuNG #Samprasoft #AI #SoftwareDevelopment #Innovation

#AI code assistants help improve #developers’ efficiency by summarizing and explaining, answering questions, and more. See why they're on the rise. https://lnkd.in/gEmHMTtm

AI-driven products are all around us, but did you know that you're using them in your development? If you want to deepen your understanding of AI, check out this top article on AI-driven development by Clurebyte. Thanks to people like Andrew Ng for making AI more accessible and useful to humanity. It's currently one of the best articles on this topic and is even at the top of Google search. Follow the link below to learn more: https://lnkd.in/dErrw2PW #ai #aidevelopment #aidriven #aiadoption

🚀 I'm excited to present my new open-source project #rag_bot! 🤖 This project is a development platform enabling the creation of advanced conversational agents. This platform is deployed on containerized infrastructure, and its purpose is to create context-aware cognitive reasoning applications that do retrieval augmented generation (RAG). The bot leverages the LangChain and LlamaIndex frameworks hosted on a FastAPI server. It’s also backed by a Qdrant vector store, creating a robust foundation for chatbots to engage in enriched, informed, and contextual conversations. 🌿 Why #rag_bot? It’s a solutions accelerator, empowering developers to build and deploy dynamic RAG chatbots that can adapt and learn continuously, delivering insightful interactions across various industries. 🛠️ What’s Inside? - Dev-Ready Architecture for enriched and contextually aware conversations. - Customization Options to integrate additional data sources, experiment with different models and develop new tools. - Prompt Engineering to optimize interactions with large language models using LangSmith and other resources. 👩💻 Let’s Build Together! Dive in, explore, and let’s push the boundaries of conversational AI together! 🔗 Explore rag_bot!  https://lnkd.in/gACXeP3S #AI #MachineLearning #ConversationalAI #GenerativeAI #OpenSource #TechInnovation #AIEngineering #EnterpriseSolutions #AIforGood #DeepLearning #NLP #NaturalLanguageProcessing #TechLeadership #AIProduct #AITechnology #AIFuture #ArtificialIntelligence #TechConsulting #AIIntegration #AISolutions #AIApplications #AITransformation #DigitalTransformation #TechImpact #RetrievalAugmentedGeneration #ML #DataScience #TechnologyLeadership #ITLeadership #BusinessIntelligence #InnovationLeadership #AIDevelopment #ChatbotDevelopment #CognitiveComputing #EnterpriseAI #AITrends #AIStrategy

Low code tools can empower Citizen Data Scientists and help businesses become data-driven. Now, generative AI is taking low code to the next level. A new survey from Evoke Technologies has found that three quarters of IT leaders believe that Generative AI will supercharge low code development. Moreover, 73% agree that Generative AI will break down barriers to the use of low code tools. As John Leonard reports, it seems that low code tools are beginning to evolve. Low code tools can enable fusion development and accelerate the transition to becoming a data-driven organisation - and those who become data-driven will outperform their peers. By bringing Generative AI into the mix, businesses can drive transformation, innovation, and growth faster than ever before. #LowCode #AI #Tech #IT

New research from Stack Overflow reveals that AI tool usage among developers increased to 76% in 2024, up from 70% in 2023. 81% of developers cite increased productivity as the top benefit of AI tools. No doubt AI is an incredible tool but the article continues on to talk about the risks associated. Only 43% of respondents trust the accuracy of AI tools, and 79% report misinformation. I believe it is critical to first understand AI and then how to effectively use AI to mitigate such concerns before you dive in trying to leverage AI. https://lnkd.in/gfQfpTKb #keepupwiththenews #keeupwithyourskills #pluralsight #acloudguru

Navigating the Frontier of AI Assistant Development: Key Hurdles and Prospects... The surge of interest in AI "copilots" - intelligent software assistants utilizing large language models to understand and respond to natural language prompts - is reshaping the tech landscape. These tools assist users in a variety of tasks, from GitHub's Copilot for coding to Google's Codey for IDE assistance. As companies eagerly integrate these assistants into their products, they encounter unique challenges in a realm previously unexplored by traditional software engineering, primarily designed for predictable systems. A new study, involving interviews with 26 professionals actively developing these copilots, sheds light on significant challenges encountered throughout the copilot development lifecycle: 👉 Prompt Engineering: A Delicate Balancing Act A key hurdle is the creation of effective prompts to elicit the right responses from models, a task more akin to art than science: - Due to the unpredictability of model responses, developers often find themselves in a trial-and-error loop to formulate stable prompts, a process lacking in structured engineering support. - Balancing the provision of sufficient context against the constraints of token limits, along with managing evolving prompt components, adds to the complexity. 👉 Testing Challenges in "Flaky" AI Systems Traditional testing methods falter when applied to AI copilot systems, where AI/ML model outputs resemble "flaky" tests, lacking deterministic predictability: - Developers are turning to techniques like metamorphic testing for validating these probabilistic outputs. - Absence of standardized benchmarks for model performance or clear quality thresholds reveals a significant gap in testing and validating AI's unpredictable behaviors. 👉 Safety, Privacy, and Ethical Considerations As AI systems increasingly influence real-world scenarios, ensuring safety and ethical compliance becomes paramount, presenting new challenges: - Mitigating risks from unanticipated AI behaviors requires stringent safety measures. - Handling user data amplifies privacy concerns. - Comprehensive documentation for responsible AI assessments adds considerable time to development cycles. Best practices in this area remain undefined, with pioneers charting new paths. 👉 Establishing Best Practices in a Rapidly Evolving Field In the fast-paced world of AI copilot development, practitioners often feel they are navigating without clear guidance: - Tools and workflows specific to building copilots are disparate, lacking a cohesive ecosystem. - Effective management of ever-changing models and prompts is still an area in need of development. There's an urgent need for a unified approach to the distinct challenges of AI-centric software development, integrating specialized techniques and tools. #llm #innovation #machinelearning #nlp