Preeti Cholleti’s Post

DECLARATION.md | Open Standards for Transparent AI Usage https://lnkd.in/ghECdDTT Embrace the Future of AI in Coding The integration of AI in software development is transforming the landscape, offering both challenges and opportunities. The AI-DECLARATION.md file is a vital tool that promotes transparency in AI-generated code. Here’s why it matters: Clear Code Usage: By including an AI-DECLARATION.md, creators can specify which parts of their code were AI-generated, fostering trust and clarity. Skill Showcase: This declaration allows developers to exhibit both coding and planning abilities, enhancing professional credibility. Key Features of the Specification: Structured YAML Format: Mandatory fields include version, level, and a comprehensive ## Notes section. Five Levels of AI Assistance: From ‘none’ to ‘auto’, each level provides insight into the extent of AI involvement. Process Declaration: Clearly identifies AI’s role in design, implementation, testing, and more. Ready to redefine coding norms? Let's start a conversation about adopting AI-DECLARATION.md! Share your thoughts! #AI #SoftwareDevelopment #Transparency Source link https://lnkd.in/ghECdDTT

Will Humans Be Better Than AI in Coding in the Days to Come? _________________________________________________________ This question is everywhere right now - in boardrooms, coffee chats, and late-night reflections. AI is writing code faster than ever. It can debug, suggest optimization, and even build applications in minutes. So… where does that leave us as developers? Here’s the reality:AI is powerful - but it is not purposeful. It can generate code, but it doesn’t understand why that code truly matters. It doesn’t sit with ambiguity, navigate messy business problems, or challenge assumptions. It doesn’t feel the pressure of a production issue at 2 AM or the satisfaction of solving something truly complex. The future of coding isn’t Human vs AI. It’s Human + AI. The developers who will thrive are not the ones competing with AI - but the ones who: Ask better questions Design better systems Understand business context deeply Use AI as a force multiplier, not a replacement Think of it this way: AI can write code. But humans define what is worth building. And that… is the real power. So no - humans are not becoming obsolete. We are evolving. The keyboard may be shared now, but the vision is still ours. #AI #SoftwareDevelopment #FutureOfWork #DataScience #Innovation #CareerGrowth

What if AI coding can be *this* good, without needing a supercomputer? 🤯 The narrative has always been "bigger is better" for AI. But a new 27B model, Qwen3.6-27B, is rewriting the rules. It’s delivering flagship coding performance that rivals much larger models, all in a surprisingly compact package. This isn't just about efficiency; it’s about democratizing advanced AI coding assistance. Imagine developing more sophisticated features, faster, without the massive infrastructure costs. OpenAI and 🤗 are pushing boundaries, but this compact model shows another path forward. The implications for developers are huge. Are we on the cusp of a new era of accessible, powerful AI coding tools? Discover how this breakthrough is reshaping the future of software development: https://lnkd.in/d2CD94hN #AIBenchmarks #MLPerformance

🚀 𝐀𝐈-𝐍𝐚𝐭𝐢𝐯𝐞 𝐒𝐨𝐟𝐭𝐰𝐚𝐫𝐞 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 is not just about using AI tools—it’s about rethinking how software is built. 🔄 𝐅𝐫𝐨𝐦 𝐂𝐨𝐝𝐞 𝐭𝐨 𝐈𝐧𝐭𝐞𝐧𝐭 Focus shifts from how to code to what to achieve. 🤝 𝐀𝐈 𝐚𝐬 𝐚 𝐂𝐨𝐥𝐥𝐚𝐛𝐨𝐫𝐚𝐭𝐨𝐫 Not just a tool, but a co-creator across design, development, and testing. 🧠 𝐂𝐨𝐧𝐭𝐞𝐱𝐭 𝐈𝐬 𝐄𝐯𝐞𝐫𝐲𝐭𝐡𝐢𝐧𝐠 Better inputs (codebase, docs, user data) → better AI outputs. 🔁 𝐅𝐞𝐞𝐝𝐛𝐚𝐜𝐤-𝐃𝐫𝐢𝐯𝐞𝐧 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 Continuous iteration with human + AI loops improves outcomes faster. 🛡️ 𝐓𝐫𝐮𝐬𝐭, 𝐓𝐞𝐬𝐭𝐢𝐧𝐠 & 𝐆𝐨𝐯𝐞𝐫𝐧𝐚𝐧𝐜𝐞 AI systems need validation, monitoring, and guardrails by design. 📈 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 Software that evolves by capturing patterns, prompts, and usage over time. The future isn’t AI-assisted coding… It’s #AINativeSoftwareEngineering. #AINative #SoftwareEngineering #AI #TechTrends #FutureOfWork #Innovation

Recent data shows AI coding tools are doubling developer output. But what happens when you combine that power with a low-code platform? You get an enterprise revolution 🚀 News about platforms like Launchpad.io shipping enterprise apps in weeks—not years—confirms this shift. The future isn’t just about writing code faster; it’s about building smarter, faster, and together 🤝 This is where Wizergos changes the game. Our low-code platform, supercharged with AI/ML capabilities, empowers both professional and citizen developers to: ⚡ Build and deploy enterprise-grade apps 10X faster 🔗 Integrate seamlessly with existing systems using minimal code 🧠 Leverage built-in AI, NLP & computer vision 🔒 Ensure ironclad security, data privacy & compliance Stop choosing between speed ⚡ and quality 🏆. With Wizergos, you get both. Are you ready to accelerate your digital transformation journey? 🌐 Learn how Wizergos can help you build the future, faster: 👉 https://www.wizergos.com #LowCode #AI #DigitalTransformation #Innovation #BFSI #HealthcareIT

In today's world, where anyone can use AI to build anything… It has never been more important to build something that matters. I love that AI has gotten more people interested in the world of software engineering and coding… But it does mean more “AI slop” than ever before (especially in the absence of human-in-the-loop). So, when you prompt with detail, go through an intensive validation process, and create something actually usable? That stands out. AI definitely has not decreased the need for qualified builders in our industry. If anything, AI has increased it. So if you are saving time on the front end by letting AI build the bones… It is well worth spending time later to make sure the output is spectacular. #AI #SoftwareDevelopment #FutureOfWork

AI in software development is powerful—but only if used with discipline. After a recent deep dive into Agentic AI, here are a few practical lessons that changed how I approach it: 🔹 Use AI to build a factory, not as a routine executor 🔹 Context is everything—definitions, examples, constraints matter 🔹 Follow Test-Driven Development—never trust unverified output 🔹 Don’t let AI guess—be explicit, reduce ambiguity 🔹 Enforce boundaries to create a clear playground 🔹 Add validation & status checks to build confidence 🔹 Don’t assume everything can be automated 🔹 Explore tool capabilities before scaling usage AI is smart—but it still needs direction, structure, and guardrails. The real shift is this: We’re moving from writing code to orchestrating intelligence. Use AI as a collaborator, not a replacement. #AI #SoftwareDevelopment #AgenticAI #Engineering #TDD #Innovation

Most AI systems fail not because of the model — but because of the lack of clear direction. This presentation focuses on how Spec-Driven Thinking can improve the way we design AI agent architectures. Instead of “vibe coding” and guessing, defining a clear spec first helps build systems that are predictable, scalable, and reliable. If you’re working with AI agents, this approach can change the way you think about building systems. 👉 You can also explore approaches like the Ralph method to better understand how to structure AI systems. 👉 I’d love to hear your thoughts — feel free to share your feedback. #AI #ArtificialIntelligence #AIAgents #SoftwareEngineering #SpecDriven #SystemDesign #VibeCoding #MachineLearning #Tech #Developer

Recently, we had an interesting case that really reflects how fast our industry is evolving. You’ve probably heard about "vibe coding" – building solutions with heavy reliance on AI-generated code. A new client approached us to conduct an audit of a codebase created almost entirely this way. It turned out to be a fascinating deep dive, both into the code itself and into a new way of thinking about development where speed, experimentation, and AI collaboration reshape traditional engineering practices. As the landscape changes, so do the challenges… and, naturally, the services required to address them. Curious if your AI-generated code would stand up to a professional audit?  Feel free to reach out. I'm happy to discuss ☺️ #AI #AItech 

I recently noticed something interesting while using AI for coding. I had a bug in my code. I gave it to AI to fix. Instead of correcting the root cause in the existing logic, it wrote new code that simply bypassed the issue. Now the system: → Creates the bug → Then runs extra steps to fix it The output is correct. But the process is inefficient. This is going to be a larger trend over the next few years. AI will help us ship faster. But it won’t always ensure we’re building the right way. We’ll start seeing: More code than necessary Layered fixes instead of clean solutions Hidden inefficiencies inside “working” systems The real risk isn’t wrong answers. It’s inefficient systems that look correct. Before pushing AI-generated code to production, we need to pause and ask: Did we fix the root cause? Or did we just add another layer? AI is powerful. But good engineering judgment matters more than ever. #AI #SoftwareDevelopment #Engineering #CodeQuality