Apexon’s Post

Shared some thoughts with InfoWorld on the impact of gen AI on software delivery lifecycle. Several of developers I respect are writing 60%-70% code using tools like GitHub copilot. Software projects that took days or weeks can now be completed in hours. Understanding how to prompt code generation models can give superpowers to developers and devops engineers. #generativeai #developertools #devops

Generative AI will radically change how many professionals do their work, and that's even more the case for DevOps teams. Ashish Kakran from Thomvest shares his predictions on how this trend will evolve with Isaac Sacolick at InfoWorld along with Joe Duffy at Pulumi, Ed Thompson at Matillion, Kaxil Naik at Astronomer, and other thought leaders in software development. #devops #devopsjourney #generativeai #infoworld #thomvest

Process, process, process. When you can test as part of your process directly from your CI/CD pipeline using AI/ML, you can do more than ever as a guardian of quality!

Discover the evolution of CI/CD pipelines from their origins in Extreme Programming to their current role in modern software development. Learn how continuous integration and delivery have transformed workflows and what distinguishes continuous delivery from continuous deployment. Also, explore how AI/ML is revolutionizing CI/CD pipelines for smarter, more dynamic testing strategies. Rafael E. Santos' latest blog is perfect for tech leaders aiming to improve their CI/CD process! #CICD #softwaredevelopment #AI #extremeprogramming #developers https://lnkd.in/eMnAqtdz

Yes - coding is getting outsourced to robots - good riddance. But coding is an increasingly small % of a developer’s time anyway. Design, problem-solving, and collaboration are much higher-value activities. I would like to think AI will cause a step function in productivity across the SDLC. However, I suspect it will barely help organizations keep their heads above water in the face of increasingly demanding expectations, more responsibility, the increasing complexity of the software stacks, and a continued skills shortage. Not embracing and investing in an AI-augmented SDLC will continue to put your organization at a disadvantage. #ai #sdlc #softwareengineering

Shreds.AI today unveiled a namesake generative AI platform based on a large language model it trained to automate software engineering tasks specifically. The platform has been trained to create the tens of thousands of lines and files of code needed to drive complex software engineering workflows. Find out more about the new platform here: https://lnkd.in/eWzAMnbi #DevOps #AI #LLM #LanguageModel #IT #Tech #SoftwareEngineering #AppDev #Applications #Software

Elevate Your Coding with the Intelligent Engineering Course Hey everyone! I recently co-instructed the "Intelligent Engineering with AI" course on June 19-20, 2024, and thought I'd share some of the standout elements with you. https://lnkd.in/dvKbrJBc Course Highlights: Bridging AI and Traditional Methods 1. AI Tools Integration: We explored how to harness AI coding assistants like GitHub Copilot and ChatGPT for writing, documenting, and testing code. The focus was on practical applications to enhance day-to-day coding efficiency. 2. Reinforcing Test-Driven Development (TDD): Participants revisited core TDD principles. We worked on real-world katas such as Fizz Buzz and Gilded Rose to practice writing tests first, ensuring code reliability and simplicity. 3. Software Craftsmanship: We delved into design patterns (like Singleton and Factory) and principles (SOLID, DRY, YAGNI). The emphasis was on applying these concepts to write clean, maintainable, scalable code. 4. Practical Exercises and Applications: They are building a Task API: A hands-on approach to creating an API where AI tools assist in improving development speed and quality. Prompt Engineering & Refactoring: Participants practiced prompt engineering with AI and learned techniques for refactoring code while maintaining functionality. 5. Continuous Integration/Continuous Deployment (CI/CD): A critical part of modern development is setting up CI/CD pipelines using GitHub Actions. This section was about maintaining quality and facilitating rapid deployment through continuous feedback. 6. Emergent Design and Legacy Code: We tackled legacy code using TDD, focusing on Kent Beck's emergent design principles. The goal was to show how to maintain and incrementally enhance existing systems. Real-World Applications: - Enhanced Productivity: Utilizing AI tools to write and test code faster. - Quality Code: Through TDD and refactoring, ensuring the codebase remains robust and maintainable. - Seamless Deployment: Setting up and optimizing CI/CD pipelines to streamline the integration and deployment. In two days, participants gained practical skills and insights into blending AI with traditional engineering practices, resulting in a more intelligent, efficient development workflow. For more details and future course registrations, check out the GitHub page: https://lnkd.in/gt3ENwZr. #SoftwareEngineering #ArtificialIntelligence #TestDrivenDevelopment #TDD #AIinTech #CodingWithAI #DevOps #CleanCode #SoftwareCraftsmanship #ContinuousIntegration #GitHubActions #Refactoring #EmergentDesign #GitHubCopilot #ChatGPT LeanDog

For years, the core of software engineering has remained fairly stable despite the fast pace of technological advancement. We’ve had other “-First” methodologies like Code-First and API-First, which reshaped aspects of the SDLC, but not fundamentally so. However, with the advent of generative AI, we’re left wondering: what will AI-First development look like, and how will it change our familiar landscape? As a software engineer who has loved being one for many years, I’m truly intrigued by AI-First development - how it might transform software building processes, redefine software engineers’ roles, and what we can do now to best prepare for this new world. Read more of my musings here - https://lnkd.in/gvP5PCse #ai #githubcopilot #softwareengineering

Feeling overwhelmed by development tasks? 🤯 AI can automate testing, generate code & personalize experiences. 🤖💻 Discover how AI is transforming software development in this blog post. 🚀 Read the full blog post - https://lnkd.in/g7U7wjD7 . . . . . #AI #SoftwareEngineering #ProductDevelopment #MachineLearning #DeepLearning #ArtificialIntelligence #SoftwareDev #DevOps #Coding #Programming #EOV #EmbarkingOnVoyage

I'm excited to announce the completion of our recent "Intelligent Engineering with AI" course in collaboration with LeanDog! This hands-on, immersive course covered key aspects of integrating AI tools into traditional software development practices, offering participants a comprehensive learning experience. AI Tools Integration: We explored how to leverage GitHub Copilot and ChatGPT for code generation, debugging, and real-time documentation. These tools have proven invaluable in making coding faster and more intuitive, even for those with limited familiarity with certain programming languages. TDD Mastery: We emphasized the importance of Test-Driven Development (TDD) to ensure code reliability and maintainability. Integrating AI into TDD practices allowed for intelligent code suggestions while ensuring no regressions. Software Craftsmanship: Participants delved deep into SOLID principles, DRY, YAGNI, the Boy Scout Rule, and ZOMBIES. This section was crucial for understanding how to write clean, maintainable, and efficient code that stands the test of time. Refactoring Techniques: We tackled identifying and addressing code smells and practical refactoring techniques to enhance code readability and maintainability. CI/CD Excellence: We set up robust CI/CD pipelines using GitHub Actions. AI tools assisted in ensuring seamless integration, testing, and deployment, streamlining the entire development process. Our approach included hands-on exercises, from prompt engineering to enhancing a pre-built Task API project. These practical sessions allowed participants to apply their newly acquired skills in real-world scenarios, ensuring they were theoretically versed and practically equipped. By the end of the course, participants had gained a thorough understanding of how to integrate AI tools into their software development workflows, driving smarter and more efficient coding practices. Stay tuned for more updates on upcoming courses and insights. Would you be ready to transform your approach to coding? Visit my GitHub and LinkedIn pages for more information. https://lnkd.in/gEbMGzSg #AIinTech #SoftwareCraftsmanship #TestDrivenDevelopment #DevOpsExcellence