Platform Engineering with GenAI at DDD Melbourne

AI-first architecture changes everything. When AI agents hit production, costs spike, state breaks, and security gets real. This story explores why demos lie, what fails at scale, and how teams can design AI systems that hold up under pressure. Shashank Singla, founder of HCODE Technologies and co-founder and CTO of Paytunes By Harsh Sharma: https://lnkd.in/gPvR-8Je #PCQuest #AI #HCodeTechnologies #Playtunes #AIagents

AI adoption fails when teams don’t trust the outputs. At #Sciverse, we build AI for the engineers and operators who stake their reputation on the results. • Designed-In Explainability: No black boxes-just clear, traceable logic your experts can validate. • Audit-Ready Architecture: Built for rigorous validation, long-term maintenance, and compliance. • Edge-Ready Resilience: High-performance AI that functions offline and under real-world constraints. Stop building for the demo. Start building for the mission. Swipe to see why trust is built into our DNA. #Sciverse #AI #EdgeComputing #TechLeadership

AI is only as powerful as the foundation it’s built on. Across industries, organizations are racing to embed advanced AI into existing systems. But successful implementation requires more than strong models. It requires intentional architecture, integration discipline, and a clear understanding of how technology performs in real-world environments. In this case study, we explore what it takes to move AI from concept to production in complex operational settings, where reliability, scalability, and user trust matter just as much as innovation. Explore the 3DR Labs case study to see how thoughtful execution turns advanced AI into measurable impact: https://rebrand.ly/rz5jpuy #ArtificialIntelligence #DigitalTransformation #EnterpriseTechnology #SoftwareEngineering #SOLTECH

Day 1 at #AIDevCon2026: The Blueprint for Reliable AI It’s 6:00 PM at the NIMHANS Convention Center, and the YantramOps booth has been a hub of intense architectural dialogue. Today wasn't about flashy demos; it was about addressing the "Crisis of Trust" in enterprise AI. What we spent Day 1 discussing with Bengaluru’s tech leaders: Solving Agentic Sprawl: We met with CTOs and Engineering Leads who are struggling to manage uncoordinated AI bots. Our Mission-oriented Architecture became the focal point of how to bring order to the chaos. The 10 Principles: We walked dozens of developers through our framework—explaining why a deterministic lifecycle is the only way to scale autonomous agents safely. Ending Intellectual Inertia: The concept of Wisdom Anchoring resonated deeply. People are looking for ways to ensure their AI doesn't just "chat," but actually builds a permanent knowledge substrate for their business. The energy in the room proves that the industry is moving past the "hype" phase and into the "Architecture" phase. We are thrilled to be at the center of that shift. We’re back at Booth AI-10 tomorrow morning. If you want to talk strategy, governance, or how to move your AI from "Amnesiac" to "Sovereign," come find us. Jayant Kaushal, Rashmi Pawar, Vipin Tiwari #YantramOps #AIDevCon2026 #AIArchitecture #EnterpriseAI #BengaluruTech #SovereignMesh #NIMHANS #MissionDrivenIntelligence #MissionOrientedArchitecture

Most AI agent discussions focus only on the LLM. That’s the wrong layer to obsess over. The real engineering challenge is designing the system around the model: • Clear purpose and constraints • Strong system prompts and guardrails • Tool integrations and APIs • Memory systems (vector DBs, episodic memory, structured storage) • Orchestration workflows and triggers • Continuous evaluation loops Without these layers, you don’t have an AI agent. You just have a chatbot calling an API. The next wave of GenAI innovation will come from agent architecture, not just larger models. #AIEngineering #GenAI #AIAgents #LLM #SystemDesign

What does it truly mean to be AI-first? It’s not about adding intelligence as a layer.  It’s about designing systems where intelligence is the foundation.  When AI is built into architecture - not bolted on - organizations scale better, adapt faster, and make smarter decisions. At TensorLogic.ai, AI-first means building infrastructure that learns, evolves, and delivers real outcomes. Because AI isn’t a feature.  It’s the core. #AIFirst #AppliedAI #AIinEducation #EnterpriseAI #DigitalTransformation #TensorLogicAI #EdTechIndia

AI Agent Experience Guide Reveals Critical Design Patterns for Next-Gen AI Systems 📌 A groundbreaking design pattern framework for next-gen AI agents is now public, offering developers concrete architecture guidance-from tool use and ReAct loops to multi-agent orchestration. It bridges abstract theory with real-world engineering, tackling memory, safety, and context management like never before. Essential for building reliable, scalable agentic systems in production. 🔗 Read more: https://lnkd.in/d3pSvxN8 #Agentexperience #Designpatterns #Agenticsystems

Recently had the opportunity to attend a 3-hour workshop by NxtWave Academy, led by AI expert Mr. Abhinav Devaguptapu. The session provided a comprehensive exploration of Generative AI tools and intelligent agents, offering nuanced perspectives on LLMs, GPT architectures, and frameworks such as LangChain, Gradio, and Google Colab. The workshop also showcased a structured methodology to design and deploy custom GenAI agents, while introducing a wide spectrum of AI-powered platforms for automation across domains, ranging from code generation and web development to multimedia creation in audio, video, and text. A truly insightful experience that reinforced the transformative potential of AI in shaping the future of innovation and productivity. #GenerativeAI #LLMs #LangChain #AIInnovation #FutureOfWork #AIFrameworks #Automation #TechLearning #AIWorkshop #NxtWave

Most AI teams are over-investing in demos and under-investing in architecture. Sadly, but fact. Everyone wants to ship asap, but that’s not right. If you want AI features to survive production pressure, start with this stack: - clear service boundaries between model orchestration and core business logic - strict observability (latency, cost, unsafe output rate, fallback rate) - versioned prompts/models with deterministic rollback - policy checks at runtime, not only at release review AI quality is not just model quality. It is system quality. The winners in 2026 will be teams that can ship fast and explain exactly why their AI behavior is safe, reliable, and cost-efficient. #AIArchitecture #SoftwareArchitecture #SystemDesign #AIOperations #EngineeringLeadership

Founders and engineering teams building advanced platforms often need a partner who can move quickly while maintaining production-grade standards. We’re grateful for the opportunity to support Wodan AI and Bob Dubois during an important phase of their platform development. If your team is building AI, Web3, or data platforms, learn more about how AR Data can support your journey: https://www.ardata.tech/