Two Real Problems in AI Programming: Multi-Project Task Management and Multi-User Collaboration Isolation

Sat, 09 May 2026 16:28:25 +0800

In multi-project, multi-developer AI programming practice, the continuity of task status and the isolation of personal configurations are key pain points affecting efficiency. This article proposes an engineering solution based on “sub-project Source of Truth” and “local rule isolation,” aiming to address cross-project task breakpoint management and team configuration pollution, while providing a replicable directory structure, read/write boundaries, and backup strategy.

Once an engineer starts using AI agents to write code frequently, the problem they quickly encounter isn’t “Can AI write functions?” but a more practical set of issues.

Practical Guide · Building a Memory-Enabled AI Writing Partner (Part 1): Multi-Agent Architecture Evolution

Sun, 25 Jan 2026 10:00:00 +0800

When writing a long novel, the most painful part isn’t “not being able to write,” but “forgetting what you’ve already written”: Did I set up that foreshadowing properly? Was the character already injured in the last chapter? When exactly was that specific rule established? Once the word count reaches hundreds of thousands, relying solely on human memory and scattered notes quickly spirals out of control.

FantasyNovelAgent grew out of this very need, evolving step by step: starting as a simple Python script, then adding dynamic memory and automatic archiving, followed by multi-device sync support, and finally moving toward a front-end/back-end separation with a cloud-native storage prototype. This article reviews that evolutionary path and explains the key trade-offs made along the way, offering a reference for similar projects.

Agent - Tag - Shengxu · Cloud Architecture & DevOps

Two Real Problems in AI Programming: Multi-Project Task Management and Multi-User Collaboration Isolation

Practical Guide · Building a Memory-Enabled AI Writing Partner (Part 1): Multi-Agent Architecture Evolution