I'm Arun — working with Generative AI, Agentic systems, and Multi-Agent architectures day in and day out. I share what's actually happening at the edge.
Top AI topics trending on Hacker News from the past week — pulled live and refreshed automatically. Click any card to read the discussion.
Not surface-level AI — the architectures and systems reshaping what's possible.
AI systems that autonomously plan, reason, and execute multi-step tasks — from tool-using loops to self-correcting pipelines that actually work in production.
Foundation models, RAG architectures at scale, context engineering, fine-tuning strategies, and GenAI applications that move past the demo stage.
Orchestrating networks of AI agents that collaborate, debate, and specialize. MCP, A2A, and swarm architectures — the next layer of intelligence.
The production stack behind real AI — vector databases, embedding pipelines, context management, evals, and the LLMOps tooling that keeps it all from breaking.
The developments that are actually changing how we build AI systems — not hype, real shifts.
Google's A2A protocol lets AI agents discover each other and collaborate across different systems — a foundational step toward interoperable AI networks that span vendors and platforms.
Anthropic's open standard for connecting AI models to tools, data, and APIs is rapidly becoming the industry default — the "USB-C" layer that every serious AI system will eventually use.
Models like o3 and Claude Opus now sustain multi-step reasoning over hours of work — unlocking software engineering, research synthesis, and complex planning tasks previously out of reach.
Agents maintaining context across sessions using episodic, semantic, and procedural memory layers. The shift from one-shot tools to continuous AI collaborators is happening now.
Computer-use agents (Claude, Operator, Gemini) that see screens and take real actions — collapsing the gap between AI understanding and execution across any software interface.
Productionizing AI now requires serious tooling: evals, tracing, red-teaming, prompt versioning, cost optimization. LangSmith, Braintrust, and Weave are becoming real engineering infrastructure.
Whether it's Agentic AI architecture, GenAI implementation, corporate AI strategy, or where the field is heading — I'm open to conversations that go deep.