Healthcare Interoperability: How Connected Data Is Improving Patient Care
Author(s): Priyusharmaa Originally published on Towards AI. Healthcare Interoperability: How Connected Data Is Improving Patient Care A patient walks into an emergency room in a city they’re visiting. They’re unconscious. The attending physician has no medical history, no allergy information, no list …
Claude Code’s Rust Rival Calls Its Extension Gate 123/123. Its Own Evidence File Reads ‘fail’.
Author(s): Chew Loong Nian – AI ENGINEER Originally published on Towards AI. Claude Code’s Rust Rival Calls Its Extension Gate 123/123. Its Own Evidence File Reads ‘fail’. There is a particular kind of document that shows up in ambitious open-source repositories, and …
Slice Filters & Per-Tenant IDF: Search That Actually Makes Sense for Multi-Tenant Apps
Author(s): Niranjan Akella Originally published on Towards AI. Slice Filters & Per-Tenant IDF: Search That Actually Makes Sense for Multi-Tenant Apps | Feat Qdrant Made by Author So you’ve built a SaaS product. You’ve got dozens (or hundreds) of customers, each with …
Notion’s Vector Search Is Excellent. Their Next Problem Is Harder.
Author(s): James Luan Originally published on Towards AI. Reading “Two Years of Vector Search at Notion” — and what it predicts about what comes next Notion published an engineering post covering two years of vector search infrastructure. I read it with genuine …
Stop Hardcoding Secrets: A Beginner’s Guide to ConfigMaps and Secrets
Author(s): Swapnil Ahire Originally published on Towards AI. Stop Hardcoding Secrets: A Beginner’s Guide to ConfigMaps and Secrets Kubernetes ConfigMaps and Secrets Explained — A Beginner’s Guide Hardcoding passwords and config values into container images is a common beginner mistake with real …
Data Annotation: Fueling the Next Wave of Accurate AI Models
Author(s): Naveen Originally published on Towards AI. Discover the critical process of data annotation, where raw data is transformed into high-quality training fuel for machine learning. This guide covers the techniques, tools, and strategies for building accurate AI. Transform raw data into …
Types of AI Agent Memory: Retrieval vs Memory
Author(s): Datafortune Inc Originally published on Towards AI. Types of AI Agent Memory: Retrieval vs Memory AI agents need more than a powerful large language model (LLM) to work reliably across real-world tasks. They need access to relevant information and the ability …
A Practical Architecture for Governing AI Coding Agents, Without Slowing Developers Down
Author(s): Reza.Sa Originally published on Towards AI. A Practical Architecture for Governing AI Coding Agents, Without Slowing Developers Down A repository-attached control plane that separates guidance from permission, governs actions before execution, and verifies risky changes before completion. Coding agents are crossing …
Production-Ready RAG Architecture: Core Patterns Explained
Author(s): Kabir Raj Singh Originally published on Towards AI. Production-Ready RAG Architecture: Core Patterns Explained Companion post to the video. This is the deeper reference version — the configs, code, and sources the video didn’t have time for. If you just want …
A Few Tips to Cut Claude Code Token Costs
Author(s): Arijit Dutta Originally published on Towards AI. A Few Tips to Cut Claude Code Token Costs Pull up /usage after what felt like a light Claude Code session, and the numbers can be surprising. Your prompts were short. The task seemed …
Gemini Omni Flash Video Workflow: Build AI Video Features Developers Can Trust
Author(s): Anna Jey Originally published on Towards AI. Gemini Omni Flash Video Workflow Gemini Omni Flash makes video generation feel conversational. That is useful. It is also exactly why developers need a stronger production workflow before letting users create, edit, retry, and …
Multi-Agent Orchestration Patterns — and When Not to Use Them
Author(s): Shrashti Singhal Originally published on Towards AI. Everyone wants an AI team. Most tasks want one strong agent. This is a field guide to the orchestration patterns that actually work, the economics nobody mentions in the demos, and the discipline of …
Claude Code Skills vs Slash Commands vs Subagents: Where Should Each One Live?
Author(s): Sudha Subramaniam Originally published on Towards AI. Claude Code Skills vs Slash Commands vs Subagents: Where Should Each One Live? A practical way to organize Claude Code instructions, reusable workflows, and specialized agents without turning CLAUDE.md into a dumping ground The …
Why OpenAI Walked Out on Cursor and Anthropic Couldn’t
Author(s): Kashif Mehmood Originally published on Towards AI. OpenAI’s models carry 5% of Cursor’s traffic. Anthropic’s Claude runs on 220,000 of SpaceX’s GPUs. Read those two numbers before you read either company’s statement. On Friday 28 August, OpenAI published a short post …
From ChatGPT and Codex to an Agentic Terraform Platform
Author(s): Anooptej Thotapalli Originally published on Towards AI. What repeated infrastructure work taught me about deterministic discovery, probabilistic reasoning, guardrails, and keeping humans in control Infrastructure automation has traditionally been deterministic. From AI-assisted infrastructure work to a guarded agentic engineering platform.The article …
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