"Neurosymbolic AI: A New Path for Software Engineering Automation"

We’re using our AI to build our AI, and it’s changed how I think about software engineering. I’ve been coding the old way for years, setting up scripts and wiring things together - the usual grind. At Orchestra, we’ve been building with our own vibe-coding platform; we’re using it to build itself. What used to take me two days to set up now takes about 45 minutes. At first, I thought it’d feel like cheating; I even found myself double-checking its implementations line-by-line, but it doesn't. The AI handles the mundane tasks, allowing me to focus on architecture, business logic, and edge cases that require human judgment, the engineering part. It hasn’t replaced my CS fundamentals; it’s made them more useful. Are there any parts of development you are still keeping AI away from - and is that caution? or just habit? #VibeCoding #SoftwareEngineering

The future of software development is already here — powered by AI and Machine Learning. In our latest blog, we explore how these technologies are reshaping the way developers build, test, and deploy modern applications. From AI-assisted coding to intelligent automation — it’s time to rethink how we approach software creation. 🔗 Read the blogs: https://www.indsc.in/blog #AI #MachineLearning #SoftwareDevelopment #Innovation #TechTrends #StartupLife

The future of software development is already here — powered by AI and Machine Learning. In our latest blog, we explore how these technologies are reshaping the way developers build, test, and deploy modern applications. From AI-assisted coding to intelligent automation — it’s time to rethink how we approach software creation. 🔗 Read the blogs: https://www.indsc.in/blog #AI #MachineLearning #SoftwareDevelopment #Innovation #TechTrends #StartupLife

The future of software isn’t written in code — it’s declared in intent. We’ve used documentation to tell each other how systems should work. We’ve used specifications to make sure they do. The difference now is that we’re no longer the only ones reading them. AI can interpret structure, reason through logic, and test intent in real time. That changes everything. Spec-driven isn’t new — it’s just newly alive. It’s the bridge between human intention and machine reasoning. It’s how we design systems that don’t just follow instructions, but understand them. AI has unlocked the next era of software. Not code-first. Not document-first. Intent-first. #specdriven #intentfirst #ai #architecture #NeuralNuance

AI-driven coding tools are becoming the primary workspace. Legacy IDEs must adapt or shrink. #Investment is shifting to products that convert #AI into concrete engineering efficiency.

Why are some of us still cautious about letting AI write our core code? It's simple: AI, right now, doesn't actually *understand* what it's doing. It's brilliant at predicting the next piece of code, like a super-smart auto-complete, but it lacks the deeper comprehension of intent, system architecture, or subtle context that humans bring. Think about finding a needle in a haystack. An AI might give you a perfectly crafted piece of hay that *looks* like a needle. It’s good at patterns, but it doesn't grasp the principles. Real-world software engineering goes beyond just generating lines. It demands a holistic view, an intuition for potential pitfalls, and a sense of how all the pieces fit together. That's a distinctly human skill, honed by experience and critical thinking. Relying purely on AI for crucial code means outsourcing that vital insight. We need to remember that code is more than syntax; it’s a reflection of deeper logic and purpose. Like and share this post if you agree! Does our reliance on AI for coding risk dimming our most profound engineering insights? #AICode #SoftwareEngineering #TechDebate #HumanIntelligence #FutureOfCode #DeveloperInsights

If you’re an aspiring AI engineer, here’s the shift you can’t afford to miss: We’ve officially moved from Prompt Engineering → Context Engineering. Prompt engineering was about crafting better inputs. Context engineering is about designing smarter systems. As models get larger and more capable, the real differentiator isn’t how well you can write a prompt, it’s how well you can manage, structure, and serve context. In our next hands-on AI workshop, we’ll dive deep into: - What “context” really means in LLM systems and why it determines how powerful your model can become - Techniques like Summarization, Query Rewriting, Context Offloading, Isolation, and Memory - How to balance accuracy, cost, and reliability in production use cases - A live demo bringing these methods together in real time 📅 November 8 ⏱️ 1.5 hours 🎙️ With Arvind Narayanamurthy & me 🎟️ Save your spot: https://lnkd.in/dvFmMiRr

There’s been a lot of noise lately about AI “replacing developers.” A former colleague I deeply respect offers a much more grounded view — arguing that generative AI won’t eliminate software engineers, but will instead elevate them. It’s about shifting focus from repetitive coding tasks to what actually creates value: understanding problems, designing solid architectures, and delivering reliable systems. A thoughtful and balanced read for anyone in tech navigating the AI era. 👉 GenAI for developers: a real productivity boost? https://lnkd.in/dfHNKkRW by Mathieu Corbin

Source: https://lnkd.in/dUqXWCcZ 🚀 AI is reshaping software engineering—here’s how leaders can stay ahead!💡 Platform Engineering is key: Build AI-powered tools with paved roads and secure LLM integration.🔧 Composable APIs enable seamless AI agent workflows—think of them as the “glue” for modern apps.📊 AI-ready data isn’t just a buzzword—it’s the backbone of generative models. Prioritize MCP and data fabrics!🧠 Pro tip: Cultivate innovation cultures with exploration teams and psychological safety. Let engineers experiment without fear. Ready to future-proof your team? Start by rethinking your software stack today. #AI #SoftwareEngineering