What Is

A coding agent that forgets your architecture decisions every time you open a new terminal is working exactly as designed. It is working as designed. Persistent AI agent memory is the external layer that stores and retrieves useful context across sessions, tools, and machines, so an agent in Claude Code, Codex, or Dify does not […]

Maintainers of well-known open source projects are dealing with a new kind of inbox. Pull requests still arrive, often in higher volume than ever, and many are clean, well-formatted, and plausible on first read. What changed is that one person can now produce a hundred of them in an afternoon, and the maintainer still has […]

You have an AI app running on Vercel, or a prototype that v0.dev generated in a few minutes, and now it needs a real database. The choice is harder than it looks, because serverless functions and edge runtimes break the assumptions traditional databases are built on: long-lived TCP connections, a bounded pool, and a process […]

MySQL AI, in the sense that matters most to application teams, means MySQL-compatible infrastructure that holds agent memory, tool outputs, embeddings, and persistent application state in one backend, with vector search and SQL available in the same query. Serverless MySQL for AI agents is that backend delivered as an auto-scaling service rather than a cluster […]

Key Takeaways Add a vector database to the existing stack. Sync it. Maintain it. Debug it when it drifts. Teams building agentic applications have largely accepted that sequence as the price of admission for working with embeddings, and the fourth step is the one worth pausing on. Drift is not an incidental bug waiting to […]

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 […]

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 […]

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 […]

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 […]

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 […]

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 […]

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 […]