๐๐ฒ๐ป๐ฒ๐ฟ๐ฎ๐๐ถ๐๐ฒ ๐๐ ๐ฎ๐ป๐ฑ ๐๐๐๐๐ผ๐บ ๐ฆ๐ผ๐ณ๐๐๐ฎ๐ฟ๐ฒ ๐๐ฒ๐๐ฒ๐น๐ผ๐ฝ๐บ๐ฒ๐ป๐: ๐ช๐ต๐ฎ๐'๐ ๐ถ๐ป ๐ฆ๐๐ผ๐ฟ๐ฒ? Generative AI is set to revolutionize custom software development, enabling unprecedented automation and innovation. This advanced form of AI can generate text, images, and other media, significantly enhancing code automation, debugging, testing, and documentation processes. ๐ ๐๐ฒ๐ ๐๐ถ๐ด๐ต๐น๐ถ๐ด๐ต๐๐: 1. Code Automation: Tools like DeepCoder and TabNine automate code generation. 2. Smart Debugging & Testing: AI assists in reviewing and testing code with higher accuracy. 3. Automated Documentation: AI generates comprehensive, customizable documentation. 4. Quicker Product Development: Streamlined processes and faster transitions from development to production. 5. Personalized Coding Ecosystems: Tailored support for individual developers. 6. Quicker Code Porting: Effortless code conversion across languages like C , Java, and Python. Generative AI's integration promises enhanced efficiency, though challenges like data privacy and model biases must be addressed. โจ For more details, visit the full article here.: https://lnkd.in/g8tnckVc
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Is code written by AI tools โfit for purposeโ? Thatโs a key question software development teams should be asking as the use of AI-powered tools to write code becomes ubiquitous. (And for good reason, as developers can save hours of manual time). Teams need to look closely at the AI-generated output. It should be held to the same testing and QA standards as human-written code. Questioning if the code is โfit for purposeโ, is essentially finding out whether the code is doing what it is supposed to be doing. And for this, validation and verification are key. Validation is assessing whether the right product has been built. Verification assesses whether the implementation of the product conforms to the required specifications. While validation is more subjective, verification can be standardized, and even automated, through testing. For example, a unit test writing tool like Diffblue Cover tells you what the code is actually doing, and then serves as a baseline for regression testing when making changes to code going forward. Peter Schrammel, CTO, talks about how rigorous quality standards should stay the same, whether code is written by humans, or by AI, in this latest piece via DZone.
Does AI-Generated Code Need To Be Tested Even More? - DZone
dzone.com
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๐๐ฒ๐๐ฒ๐น๐ผ๐ฝ๐ฒ๐ฟ? ๐จ๐ป ๐๐ฒ๐ ๐๐ผ๐๐ฟ ๐ต๐ฎ๐ป๐ฑ๐ ๐ผ๐ป ๐ผ๐๐ฟ ๐๐ต๐ถ๐๐ฒ๐ฝ๐ฎ๐ฝ๐ฒ๐ฟ โ๐ ๐ฝ๐ฟ๐ผ๐ด๐ฟ๐ฎ๐บ๐บ๐ฒ๐ฟโ๐ ๐ด๐๐ถ๐ฑ๐ฒ ๐๐ผ ๐๐โ. ๐ค Ever since AI came lurking around the corner, Delta Source has been closely following developments. Eager to know, senior software engineers Taner Ilyazov and Efrem Dubrovin delved into the benefits and pitfalls of AI for developers over the past few months. We examined code suggestions, code reviews and unit test generation. The result? 'A programmer's guide to AI,' a practical white paper that answers questions such as: "How do I install an AI tool (LLM) on my own laptop?", "How much can you trust the AI development tools?" and "Where in the development process can AI save me time?". Surf to our Delta Source blog for the first part of the white paper 'A programmer's guide to AI'. Discover our insights and increase your efficiency in software development with reliable AI tips, tricks & tools. ๐ง Not a developer yourself? Feel free to share this post with the IT professionals in your network. ๐ฃ #sharingiscaring #DeltaSource #IT #AI #machinelearning #programming #whitepaper
Whitepaper - A programmer's guide to AI (Part 1) - Delta Source
https://deltasource.eu/en/
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We've been using AI tools to enhance our productivity as developers. At Foxbox Digital, we've open sourced our AI Dev Playbook to show you how we do it. Will you see a 10x increase in output? Probably not. But we've found that by leveraging AI dev tools, you'll be more efficient and more effective. I'd love to hear what you think about our playbook. #aidevelopment #copilot #aitools
New breakthrough AI tools are making lofty promises to developers. ๐ย Accelerate software development ๐ย Close skill gaps ๐ย Improve overall code quality The headlines are everywhere because the value IS real. But AI tools are just that: tools. Theyโre only as effective as they are reviewed, refined and continuously realigned toward the product or experience being built. So for developers looking to put those promises into practice, we put together a brief playbook to demonstrate what we think are the most fruitful and feasible places to start. Will you be able to build custom software 10x faster? Probably not. But it will make you a more efficient and effective developer. Check it out at the link below, and let us know what you think. Weโll be making updates periodically, so any and all feedback is welcome! https://lnkd.in/gzz_NfVx
The AI Dev Playbook - How to Accelerate Development with AI
foxbox.com
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AI and Software Development: Dissecting the Role of AI in Shaping Our Digital Future Are AI advancements paving the way to a future without software developers? While AI's capabilities are evolving, the reality might not be as simplistic. This insightful piece takes a deep dive into the intricacies of software development, and challenging the notion of AI replacing human developers. It explores the relationship between requirements, software, and AI, along with a dissection of real-life cases, illustrating the complexity of creating software. Ultimately, it shows that AI might be an invaluable tool, but its limitations suggest that the human touch in software development is here to stay. Read on to find out more about this fascinating topic.
The hardest part of building software is not coding, itโs requirements
cio.com
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Product & Applications Security Lead at Verizon | AppSec Nerd | Passionate Hacker | Author | Speaker
๐ Self-healing code is the future of software development! ๐ As generative AI continues to advance, the concept of self-healing code is revolutionizing the way we create, maintain, and improve software. Imagine a world where code can automatically detect, diagnose, and fix its own issuesโdramatically reducing downtime and enhancing system resilience. By integrating AI into CI/CD pipelines, we're not just automating bug fixes and code reviews; we're paving the way for smarter, more efficient development processes. This means higher quality code, faster deployments, and less time spent on repetitive tasks. Embrace the future of software development with self-healing code and witness unparalleled efficiency and innovation. #SoftwareDevelopment #AI #GenerativeAI #SelfHealingCode #TechInnovation #CICD #FutureOfWork ๐ก How are you integrating AI into your development processes? Share your experiences below! ๐
Self-healing code is the future of software development
stackoverflow.blog
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Becoming a 10X Developer: Harnessing the Power of Modern Code Generators https://lnkd.in/d4hr-AJa #10XDeveloper #GenAI #AI #data #Dev #WebDeveloper #digitaliun #GenerativeAI
Becoming a 10X Developer: Harnessing the Power of Modern Code Generators
taliun.com
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#mustread #AI has transformed the way apps are built. It allows developers to write more eloquent code and optimize the existing software engineering landscape. AI and ML reduce the need for routine human-based programming and increase the use of interchangeable components. Read full: https://bit.ly/3RRah2Z #webdevelopment #developer #machinelearningart
Why AI is a Game-changer in Software Engineering
https://talkdev.com
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Vet|Founder|Producer of Protech Consulting Group. Cloud Native Applications on the Amazon Web Services (AWS) Platform, Providing End-To-End Solutions from Ideation to Deployment in support of Federal Agenciesโ missions.
Can AI replace Software Engineers? Interesting read about the implementation (not replacement) of AI driven programming and how it will be utilized in the near future for software development. For small businesses working in this space, how are you utilizing AI in your processes?
The Future of AI in Software Development
https://fortyseven47.com
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The Role of Artificial Intelligence in Modern Software Architecture Design https://bit.ly/48QMPrK Software architecture has come a long way since its inception. In the early days, systems were simple and programmers often hardcoded solutions to specific problems. As systems grew in complexity and size, this approach became unmanageable. We saw the emergence of structured programming, object-oriented programming, and most recently service-oriented and microservice architectures. Parallel to this, artificial intelligence (AI) has been growing and advancing at a rapid pace. AI and Machine Learning (ML) techniques are now becoming commonplace, not just in experimental or high-tech projects, but also in everyday software applications. The combination of AI and software architecture is proving to be a game changer in the way we design and build software systems. via DZone AI/ML Zone https://bit.ly/41qvfZp March 13, 2024 at 07:48AM
The Role of Artificial Intelligence in Modern Software Architecture Design https://bit.ly/48QMPrK Software architecture has come a long way since its inception. In the early days, systems were simple and programmers often hardcoded solutions to specific problems. As systems grew in complexity and size, this approach became unmanageable. We saw the emergence of structured programming, object...
dzone.com
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