Mohamad Anouti’s Post

I'm happy to share with you a short 𝚖̶𝚘̶𝚟̶𝚒̶𝚎̶ story about 𝗔𝗜 𝗛𝗲𝗹𝗹 (in software development.) "𝘈𝘐 𝘏𝘦𝘭𝘭" 𝘪𝘴 𝘵𝘩𝘦 𝘩𝘺𝘱𝘰𝘵𝘩𝘦𝘴𝘪𝘴 𝘵𝘩𝘢𝘵 𝘵𝘩𝘦 𝘶𝘴𝘦 𝘰𝘧 𝘈𝘐-𝘨𝘦𝘯𝘦𝘳𝘢𝘵𝘦𝘥 𝘤𝘰𝘥𝘦 𝘤𝘰𝘶𝘭𝘥 𝘦𝘹𝘱𝘰𝘯𝘦𝘯𝘵𝘪𝘢𝘭𝘭𝘺 𝘪𝘯𝘤𝘳𝘦𝘢𝘴𝘦  𝘣𝘰𝘵𝘩 𝘵𝘩𝘦 𝘷𝘰𝘭𝘶𝘮𝘦 𝘢𝘯𝘥 𝘵𝘩𝘦 𝘤𝘰𝘮𝘱𝘭𝘦𝘹𝘪𝘵𝘺 𝘰𝘧 𝘢 𝘤𝘰𝘥𝘦𝘣𝘢𝘴𝘦 𝘵𝘰 𝘵𝘩𝘦 𝘱𝘰𝘪𝘯𝘵 𝘸𝘩𝘦𝘳𝘦 𝘪𝘵 𝘣𝘦𝘤𝘰𝘮𝘦𝘴 𝘶𝘯𝘮𝘢𝘯𝘢𝘨𝘦𝘢𝘣𝘭𝘦 𝘣𝘺 𝘵𝘩𝘦 𝘦𝘹𝘪𝘴𝘵𝘪𝘯𝘨 𝘵𝘦𝘢𝘮. Don’t get me wrong: I believe Generative AI is a great opportunity for software development. But we must be cautious. Today’s AI tools can’t yet handle large systems, especially for maintenance and refactoring. Over-reliance on AI-generated code could lead to an unmanageable codebase—what I call AI Hell. What do you think? Is AI Hell a real risk for some organizations, or will AI advancements arrive just in time to prevent it? You can also explore this story as a presentation (with music!) or in a more traditional article format - links in comments.

Why Smart Machines Still Need Smart Developers? There's a lot of talk about AI taking over developer jobs, but that really misses the point of what developers do. Sure, they write code from specs, but there's way more to it than that. Specs are hardly ever perfect or complete. People often ask what will happen when AI gets good at writing code. The answer? Developer jobs are safe because perfect specs don't exist! The real job of developers is to figure out and refine those specs. They dig into both the obvious and hidden requirements. Here are a few things they think about: - What's the long-term impact of this new feature? - How will this feature affect maintenance costs? - Could this feature mess up other applications? - Do its requirements clash with other features? - How might users misuse this feature? If we look at AI, it can help in ways, like: - Automating repetitive coding tasks - Detecting bugs and vulnerabilities - Offering code suggestions and completions - Analyzing data to improve software performance But AI can't replace the critical thinking and problem-solving developers bring to the table. What do you think about AI in software/application development?

AI is transforming Quality Assurance like never before! Artificial intelligence is embedded in software development, thus integrating quality assurance to assure even more efficiency, precision, and foresight. At ALAS, we've embraced this technological evolution by incorporating sophisticated AI tools, which streamline our operational process and predict and proactively avoid issues. Our approach is to focus on innovation using AI to raise the bar on software quality to new heights. This proactive strategy will help our deliverables meet or even exceed such industry standards at all times, coupled with excellent value and reliability. ALAS stands at the forefront of this transformation and is committed to pioneering this development, which will transform the QA landscape. While we explore the many possibilities in AI, we would like you to join us and work with us as we begin to set newfound expectations for excellence in software development. Let’s connect to learn how these innovations can further enhance your projects!

AI's transformative journey from science fiction to a vital force in our lives is a testament to the relentless efforts of scientists and engineers. In software development, AI's evolution opens new frontiers, serving as both a powerful tool and an object of development. Definition and Applications of AI in Software Development 🔻 AI's ability to solve complex problems, generate information, and learn has led to its integration into various aspects of modern life. In software development, AI serves as a valuable tool for tasks such as data analysis and classification, while also being an object of development for customized solutions. Applications in Software Engineering 🔷 Code Generation: AI can generate code based on parameters, potentially reshaping the role of developers. 🔷 Requirements Gathering: AI streamlines requirements compilation, reducing manual documentation. 🔷 Planning, Estimating, and Designing: AI assists in project planning, cost estimation, and team setup recommendations. 🔷 Quality Control and Feedback Management: AI scans for errors, enhances quality assurance processes, and manages user feedback. Industries and Areas Harnessing AI AI extends beyond software development, contributing to automation and enhancement in various sectors: ⚫ Automation: Fields like data mining, analysis, and classification operate autonomously. ⚫ Enhancement: AI elevates productivity in smart devices, autonomous driving, gaming, writing, and visual art. Benefits of AI for Developers 🔶 Precise Planning: AI aids in setting realistic project goals and timelines. Predictable Workflow: Developers can rely on AI for consistent workflow management. 🔶 Informed Decision-making: Data-driven insights enable informed decision-making. 🔶 Accurate Estimates: AI assists in precise cost, resource, and deadline estimation. 🔶 Better Security and QA: Automation improves security checks and vulnerability assessments, enhancing software quality. Challenges in AI Implementation 🔴 Demand for Specialist Skills: Effective AI operation requires skilled specialists. 🔴 Hardware and Resource Requirements: AI tools demand powerful computational resources. 🔴 Licensing Costs: Commercial use of advanced AI solutions may involve substantial licensing fees. The Future of AI in Software Development AI's integration in software development is set to grow as developers increasingly use specialized AIs to create more advanced solutions. While AI simplifies tasks, its successful integration demands a high level of skill, emphasizing the need for continuous learning in the evolving landscape of AI and software development.

In today's rapidly evolving tech world, the fusion of artificial intelligence (AI) and programming is revolutionizing how we develop software. AI-powered tools automate tasks like code generation and testing, speeding up development and improving code quality. These tools also enhance developers' productivity by automating repetitive tasks and offering intelligent suggestions. By analyzing data, AI provides insights for better decision-making, improving code efficiency and system reliability. The integration of AI enables the creation of next-generation applications that can understand and respond to human interactions, reshaping industries and user experiences. However, challenges such as ethical concerns and the need for continuous learning remain. Overall, AI in programming offers unprecedented opportunities for efficiency, productivity, and innovation, propelling technology into new realms of possibility.

AI is the Backbone of Technological Progress   AI is constantly influencing the choices made by R&D departments across multiple industries, from healthcare to defense technology. Research by Accenture reveals that by the end of the next fiscal more than 65% of all globally incorporated outfits plan to invest in AI. Daffodil can provide their insightful understanding of AI to build technology solutions such as the MANI App. If you wish to know how AI can expedite your technological processes, you can find out about our AI Software Development team.

Technology is an ally, not a competitor 🤖. AI is not here to take developers' jobs but to enhance and improve them. By automating repetitive tasks and providing robust coding, debugging, and testing tools, #AI allows developers to focus on more creative and complex aspects of their work. This collaboration between human ingenuity and AI capabilities increases productivity, innovation, and job satisfaction, making the development process more efficient and enjoyable.

Building the Future: Why Infrastructure and Programming Remain Crucial in the Age of AI The rise of Artificial Intelligence (AI) has many wondering – will programmers and IT infrastructure specialists become obsolete? The answer is a resounding no. In fact, these fields are more critical than ever in a future shaped by AI. --> The Solid Foundation: Infrastructure Imagine a bustling city. No matter how impressive the buildings, they crumble without a strong foundation. Similarly, powerful AI needs a robust infrastructure to function. Here's why: Scalability: As AI applications become more complex, they'll require ever-increasing processing power and data storage. Infrastructure specialists ensure these resources are available and adaptable. Security: AI deals with sensitive data. Strong infrastructure protects against breaches and ensures the integrity of AI models. Efficiency: Optimizing infrastructure keeps AI systems running smoothly, maximizing their potential. --> Building the Tools: Application Development and Programming Think of AI as a powerful engine. But it needs a skilled driver to navigate its potential. Programmers are those drivers, developing the applications that harness AI's power for specific tasks. Here's why they'll remain crucial: Focus and Control: AI can be a double-edged sword. Programmers ensure AI is directed towards solving specific problems and prevent unintended consequences. User Interface: Programmers bridge the gap between complex AI models and human users, creating intuitive interfaces that make AI accessible and user-friendly. Specialization: Different industries will require AI tailored to their needs. Programmers will develop specialized applications leveraging AI's power in unique ways. --> The Future Landscape: Collaboration is Key The future belongs to those who can leverage the strengths of both humans and AI. Programmers and infrastructure specialists will collaborate with AI to: Automate Tasks: Freeing humans to focus on creativity, innovation, and strategic thinking. Augment Decision Making: Providing data-driven insights to improve human judgment. Continuously Improve: AI can learn and adapt, but it needs programmers to guide its learning process and refine its outputs. In conclusion, AI is a transformative force. But it doesn't replace the need for infrastructure and programming . Instead, it creates new opportunities for collaboration, propelling us towards a future where human ingenuity and AI power work together to create a better world. #AI #future #applicationdevelopment #ITinfrastructure #integriti

Discover how Ai is reshaping the tech landscape. From automation to predictive analysis, AI is revolutionizing the way we build, deploy, and maintain software. Check out this fascinating post: #AI #SoftwareDevelopment #TechTrends https://lnkd.in/gC2Gbbam