The Agent Context Plane: How One Cluster Fixed the $50K Agent Bug
Real-time data has been the promise of the analytics stack for a decade. Dashboards refresh, pipelines run, and a human reads the result. That model holds right up until you ask an agent to act on the data instead of look at it. At TiDB SCaiLE Europe 2026 in Stockholm, Bernard Kavanagh, Solutions Architect at […]
Novita Artifact Hosting + TiDB: Deploying AI-Generated Apps With One SDK Call
AI coding agents such as Cursor, Claude Code, and Devin can now produce a working application from a single prompt. However, most of this code still never reaches production. The blocker is rarely code quality. It is deployment. This blog explains how Novita Artifact Hosting turns an agent’s sandbox output into a live application, and […]
The Multi-Tenant Agent Database: Why the Scale Problem Just Inverted
When an agent platform hosts tens of millions of agent-created applications, and every one of them needs a database, the traditional answer is millions of dedicated Postgres or MySQL instances. The cost of that answer is unacceptable. That infrastructure problem, not model quality, is what Ed Huang, co-founder and CTO of TiDB, put at the […]
The Infrastructure You Choose Is the Company You Become
Believing in Growth: A Hard Question From a Distributed Systems Veteran A few years ago, I was talking with the chief architect of a very well-known global company that offers a home sharing marketplace. He opened with a genuinely tough question. “Siddon, I have spent decades building distributed systems. Google Bigtable, for one. I have […]
The Fintech AI Platform: Why Agents Need One Database, Not Five
A few months ago I watched a fintech engineering team walk me through their AI agent platform. They had a transactional database for balances and ledgers, a separate vector database for semantic retrieval, a cache for session state, a document store for agent memory, and a stream processor stitching it together. Five systems. Each one […]
Database Branching for AI Agents: How TINE Solves the Schema Drift Problem
Key Takeaways AI coding agents are no longer a novelty. From Claude Code to Cursor’s agent mode, from GitHub Copilot Workspace to OpenAI Codex, “generate an app from a prompt” demos flood developer feeds. Each one follows the same arc: a developer types a prompt, an application appears, and the audience applauds. What those demos […]
The Model Resets. The State Remains.
Key Takeaways There is a moment using an AI agent that ruins you a little, because once you have felt it, you cannot go back. The agent remembers something from three weeks ago that you had half-forgotten you mentioned. Not in a strange way, but in a useful way. It picks up where you actually […]
What an AI Agent Harness Actually Needs Beyond a Model
For the first wave of AI applications, the model was the only architectural question that mattered. Which model reasons better. Whose code is cleaner. Whose tool calls are more reliable. Where is the context window largest. What costs less per task. That conversation still matters. It is just no longer enough. The systems attracting serious […]
How to Build an AI App That Simulates Life Decisions
For most of 2025, I found myself trapped in an exhausting loop. Every few days, I’d open ChatGPT, Claude, or Gemini and ask the same question in slightly different ways: “Should I buy a house or keep renting?” The numbers seemed simple on the surface. My rent was $2,000 monthly. The mortgage would run around […]
How to Build an AI Advisor That Shows College ROI (Not Rankings)
I know too many people drowning in student debt. A friend got her Master’s in Music from an expensive private school. She’s $120k in debt and works at Starbucks. Another guy I know got a business degree from a school that costs $50k a year. He’s doing the same job he could’ve gotten without the […]
Prompt To Production: Building Scalable AI on TiDB with Kiro
A technical deep dive into letting an AI reason directly over your database. Food waste is a quiet horror story. Every year, roughly 1.3 billion tons of food are discarded globally, often because we simply forget what’s in the back of our fridges. Half-used onions, forgotten spinach, and that single, lonely tomato—they aren’t just ingredients; […]
OpenClaw Memory Architecture: Building a Local-First RAG with SQLite
Editor’s Note: At PingCAP, we build distributed systems (TiDB), but we appreciate elegant engineering at any scale. OpenClaw demonstrates a perfect use case for local-first RAG databases: when you need zero-ops, total data privacy, and instant startup for a single user, SQLite is a highly pragmatic choice. We believe in choosing the right tool for […]