This Pragmatic Engineer Newsletter article, featuring insights from Addy Osmani, explores the evolving impact of AI-assisted coding on software engineering. It highlights the transformative potential of AI tools while addressing the nuanced realities behind their usage. Key Points: AI Adoption and Tooling Trends:Since the release of ChatGPT in 2022, AI...
How AI-assisted coding will change software engineering: hard truths
The Future of Hiring: How AI is Redefining Recruitment Process
The current recruiting process presents a myriad of challenges for recruiters, stemming from a scarcity of resources and budgetary limitations. Despite these constraints, the pressure to deliver results remains constant. These challenges are pervasive, affecting organizations of all sizes and spanning across diverse roles. In a current job market, it...
The Role of Generative AI in Patient Care: The Blooming Frontier in Healthcare Innovation
Generative AI is rapidly emerging as a game-changing technology in the healthcare sector. By harnessing the power of advanced algorithms, this technology can analyze vast amounts of data, generate new insights, and even assist in automating routine tasks. The potential for generative AI to revolutionize healthcare is massive, offering improvements...
AI – Your companion in the Job Hunt: Transforming Employment Opportunities with Smart Technology
Looking for a new job can often feel overwhelming. From researching relevant opportunities to perfecting your resume and crafting thoughtful cover letters, there’s a lot to juggle. On top of that, interview preparation and staying organized throughout the process can quickly become a daunting task. The latest and most significant...
AI and Industry 4.0- Transforming Business in Healthcare, Banking, Insurance, Education & Legal services
Artificial Intelligence is rapidly reshaping industries across the globe. From healthcare to banking, AI is a transformative force driving efficiency, innovation, and better decision-making. In this tech blog, we will explore the applications of AI in key sectors such as healthcare, insurance, banking, education and legal providing real-world examples of...
Emerging Patterns in Building GenAI Products
The article explores emerging patterns in building Generative AI products as they transition from prototypes to production. It identifies key challenges like hallucination, unbounded data access, and non-determinism. Patterns include Direct Prompting, Retrieval Augmented Generation (RAG), Hybrid Retriever, Query Rewriting, Guardrails, and Fine Tuning, each addressing specific issues in GenAI...
How OpenTurf Optimized ESL Architecture Using KEDA for Performance Boost and Cost Reduction
A global leader in ESL(Electronic Shelf Labeling) technology innovation with its own manufacturing facilities, the company excels in reducing development time, maintaining strict quality control, optimizing supply chains, and ensuring cost competitiveness. Built on a strong technological foundation and industry expertise, the company invests heavily in innovation, design, and product...
Unpacking SRE and Observability: How OpenTurf Empowers Clients with Modern Engineering Practices
Most of the businesses today rely on reliable and scalable software systems to deliver exceptional customer experiences. The two important key practices, Site Reliability Engineering (SRE) and observability, play a crucial role in ensuring the performance of these systems. The expertise in SRE and observability, enable companies to build resilient,...
The Role of AI in Customer Service: Chatbots and Virtual Assistants
Artificial Intelligence (AI) has become a transformative force in every industry, and one domain where its impact is especially noticeable is customer service. AI-powered chatbots and virtual assistants are not just enhancing how businesses interact with customers — they are revamping the entire customer service experience. However, despite their growing adoption, many...
How AI-assisted coding will change software engineering: hard truths
The article highlights how AI coding tools (like GitHub Copilot) will automate much of the “grunt work” of programming, freeing engineers to focus on higher-level tasks such as design, architecture, and complex problem-solving. Junior developers may write less boilerplate code, but must learn to collaborate effectively with AI and critically...