BITSUMMIT’s Post

Ready-to-code environments are just the beginning. BITSUMMIT makes Dev Box work for your organization with tailored solutions that boost productivity and ensure security.   Let’s reimagine what your development teams can achieve: https://lnkd.in/gGuD876Z   #DevBox #Developertools #BITSUMMIT #coding #softwaredevelopment

Stay Ahead in Software Development! 💻 Top Trends Shaping the Future: 1️⃣ Containerization & Microservices: Scalable, efficient apps with Docker. 2️⃣ AI & Machine Learning: Automating development and decision-making. 3️⃣ Low-Code/No-Code Platforms: Faster, accessible innovation for all. 🔒 Challenges Ahead:  Security threats and talent shortages demand continuous adaptation. The future of software is bright! 🌟 Let’s keep innovating. #SoftwareDevelopment #AI #NoCode #LowCode #TechTrends #Automation #Microservices #DigitalTransformation

Stay Ahead in Software Development! 💻 Top Trends Shaping the Future: 1️⃣ Containerization & Microservices: Scalable, efficient apps with Docker. 2️⃣ AI & Machine Learning: Automating development and decision-making. 3️⃣ Low-Code/No-Code Platforms: Faster, accessible innovation for all. 🔒 Challenges Ahead: Security threats and talent shortages demand continuous adaptation. The future of software is bright! 🌟 Let’s keep innovating. #SoftwareDevelopment #AI #NoCode #LowCode #TechTrends #Automation #Microservices #DigitalTransformation

Microsoft AI researchers have published a paper on artificial intelligence handling big portions of software development tasks automatically called "AutoDev: Automated AI-Driven Development" - going beyond a Copilot https://lnkd.in/ecDhNTDe. #autodev #airesearch #artificialintelligence #microsoft

[Tech Spotlight: Microsoft Introduces AutoDev: AI-Driven Software Development] Hi all SIC friends! . Tech Spotlight is back again with information about technology released by Microsoft. On March 24, Microsoft researchers presented AutoDev which empowers AI agents to autonomously handle a spectrum of software engineering tasks, including code editing, testing, and advanced git operations. Docker containers are used to simplify and secure the development process, while maintaining user privacy and project integrity. By utilizing AI agents equipped with a wide array of tools and operations, AutoDev offers a comprehensive solution for modern software development. A new paradigm in software engineering is introduced with an emphasis on AI autonomy, allowing developers to focus on higher strategic tasks. In conclusion, AutoDev realizes significant advancements in software development, shifting to a more intelligent, efficient, and secure software engineering approach by extending AI capabilities beyond simple code suggestions to cover a wide array of autonomous software engineering tasks. Source: https://lnkd.in/gwpiP__N #Microsoft #Software #AI #AutoDev

How close are we realizing the full benefits of Application Generation Platforms (#AppGen) - a model where Turingbots for both low-code and high-code development span every step of software analysis, development, security, testing, and delivery incorporating principles of Agile and DevOps along the way? Take a look at this Forrester article on The Rise Of AI-Infused Application Generation Platforms https://lnkd.in/gzrVJpum Tech companies are already positioning for this new AppGen era. This article sets the stage for the naive, reality and absurd for how far this technology can go. #Ai #appgen #MLOps

𝗦𝘁𝗼𝗽 𝗧𝗵𝗶𝗻𝗸𝗶𝗻𝗴 𝗔𝗜 𝗜𝘀 𝗠𝗮𝗴𝗶𝗰—𝗜𝘁 𝗖𝗮𝗻’𝘁 𝗗𝗼 𝗘𝘃𝗲𝗿𝘆𝘁𝗵𝗶𝗻𝗴! The internet is flooded with videos and posts showing off AI tools (like bolt.new, Cursor, etc.), making it seem like they can build entire apps effortlessly—“Wow, I built this app with AI!” But here’s the truth: AI tools are powerful, yet they can’t replace a developer’s expertise, especially for complex applications. 𝗧𝗵𝗲 𝗦𝘁𝗿𝗲𝗻𝗴𝘁𝗵𝘀 𝗼𝗳 𝗔𝗜 𝗧𝗼𝗼𝗹𝘀 - 𝗦𝗽𝗲𝗲𝗱 𝗮𝗻𝗱 𝗘𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝗰𝘆: Great at automating repetitive tasks, scaffolding code, generating boilerplate, and handling routine jobs like documentation and testing. - 𝗣𝗿𝗼𝗯𝗹𝗲𝗺-𝗦𝗼𝗹𝘃𝗶𝗻𝗴 𝗔𝘀𝘀𝗶𝘀𝘁𝗮𝗻𝗰𝗲: Provide insights, suggest optimizations, and troubleshoot faster than traditional methods. - 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗮𝗻𝗱 𝗨𝗽𝘀𝗸𝗶𝗹𝗹𝗶𝗻𝗴: Help developers grasp new frameworks or languages by offering contextual examples and guidance. 𝗕𝘂𝘁 𝗧𝗵𝗲𝘆 𝗛𝗮𝘃𝗲 𝗧𝗵𝗲𝗶𝗿 𝗟𝗶𝗺𝗶𝘁𝘀 - 𝗨𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱𝗶𝗻𝗴 𝗖𝗼𝗻𝘁𝗲𝘅𝘁: AI struggles to grasp the full scope of a project, especially for domain-specific or highly customized requirements. - 𝗛𝗮𝗻𝗱𝗹𝗶𝗻𝗴 𝗖𝗼𝗺𝗽𝗹𝗲𝘅𝗶𝘁𝘆: Designing scalable architectures or managing interdependencies across modules and third-party libraries requires human expertise. - 𝗖𝗿𝗲𝗮𝘁𝗶𝘃𝗶𝘁𝘆 𝗮𝗻𝗱 𝗜𝗻𝗻𝗼𝘃𝗮𝘁𝗶𝗼𝗻: Suggesting patterns is one thing, but creating innovative features or intuitive user experiences is uniquely human. - 𝗖𝗿𝗶𝘁𝗶𝗰𝗮𝗹 𝗗𝗲𝗰𝗶𝘀𝗶𝗼𝗻-𝗠𝗮𝗸𝗶𝗻𝗴: Trade-offs in functionality, scalability, and performance need informed human judgment. 𝗪𝗵𝗮𝘁 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿𝘀 𝗕𝗿𝗶𝗻𝗴 𝘁𝗼 𝘁𝗵𝗲 𝗧𝗮𝗯𝗹𝗲 - 𝗨𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱𝗶𝗻𝗴 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗟𝗼𝗴𝗶𝗰: Bridging the gap between raw functionality and real-world application. - 𝗖𝗿𝗶𝘁𝗶𝗰𝗮𝗹 𝗧𝗵𝗶𝗻𝗸𝗶𝗻𝗴 𝗮𝗻𝗱 𝗦𝘁𝗿𝗮𝘁𝗲𝗴𝘆: Making decisions AI can’t—like balancing competing priorities or ensuring maintainability. -𝗘𝘁𝗵𝗶𝗰𝗮𝗹 𝗮𝗻𝗱 𝗖𝗼𝗻𝘁𝗲𝘅𝘁𝘂𝗮𝗹 𝗔𝘄𝗮𝗿𝗲𝗻𝗲𝘀𝘀: Adhering to ethical practices, legal requirements, and cultural nuances. 𝗧𝗵𝗲 𝗕𝗼𝘁𝘁𝗼𝗺 𝗟𝗶𝗻𝗲 AI is an *amplifier* for developers—not a replacement. It speeds up processes, generates ideas, and takes care of the grunt work, but it still needs a skilled developer to lead the way. So yes, AI tools are incredible, but they’re not magic. They’re just tools. Skilled developers remain the key to turning ideas into robust, scalable, and innovative applications. 𝗪𝗵𝗮𝘁’𝘀 𝘆𝗼𝘂𝗿 𝘁𝗮𝗸𝗲? Are AI tools evolving fast enough to challenge developers, or will they always be assistants in the creative process? #AI #Cursor #Boltnew #AIAgents #developers #softwareEngineering #codeWithAi

Full-Stack Software Engineering Gets a Boost: 🧠 AI Inroads Predicted in 40% of Projects by 2025 AI is poised to become a significant player in the world of application development, and full-stack software engineers are at the forefront of this exciting shift. A recent report by Gartner throws down the gauntlet: It predicts that by 2025, a staggering 40% of all application development projects will incorporate artificial intelligence (AI). This isn't a cause for alarm for developers – it's an opportunity for evolution. AI integration promises to supercharge workflows, streamline processes, and unlock the potential for next-generation applications. ➡️Book your FREE consultation call today with Vertex Agility and discover how our on-demand team can craft a winning software development strategy for your business. ✉️[email protected] 🖥️ #AI #MachineLearning #SoftwareDevelopment #DevOps #FullStackDevelopment 

🌐 Platform Engineering is evolving at lightning speed! 🚀 As we embrace 2024, I'm excited to see how Internal Developer Platforms (IDP) and AI-driven insights are redefining how we build, deploy, and manage software. With a strong focus on Developer Experience (DX) and security, we're not just optimizing processes—we're future-proofing them. 💡 Stay ahead of the curve by leveraging ephemeral environments and embedding DevSecOps at every layer. Here's to making tech smarter, faster, and safer. 💻 ✨ What trends are you seeing in Platform Engineering? How are you adapting your strategies? Share your thoughts and experiences! 💭✨ #PlatformEngineering #DevSecOps #AI #DeveloperExperience #TechInnovation #DevOps FYI: The image used in this post is AI-generated.