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

In AI-driven programming, multi-project parallelism and team collaboration face two major pain points: task breakpoints and configuration pollution. The solution maintains task states in sub-projects as the single source of truth, with the root project serving as a read-only aggregator. The team’s AGENT.md only retains minimal hooks, while personal rules and temporary drafts are locally isolated via `.git/info/exclude`. This engineered directory structure and clear responsibility boundaries enhance agent behavior predictability, prevent context pollution and preference spillover, enabling efficient collaboration.

Cilium 2026 (Continued): How the Unified Data Plane Is Reshaping Kubernetes Platform Architecture

By 2026, Cilium is not just a faster CNI—it's reshaping the platform architecture of Kubernetes. This article explores how the unified data plane integrates network forwarding, load balancing, identity-based policies, and observability, along with the evolution of ClusterMesh across multi-cluster scenarios and the boundaries of sidecar-free architectures.

Hands-on · Building a Memory-Enabled AI Writing Partner (Part 4): Observability (Metrics + Logs + Trace + Cost)

FantasyNovelAgent Series Part 4: When systems run into long-term writing, cross-chapter retrieval, and multi-agent collaboration, "sporadic errors" and "cost black holes" are inevitable. This article introduces how to use Prometheus Metrics (Latency/Error/Retries) and structured logs (OTLP/Loki) to turn an AI system from a "black box" into a "white box," enabling precise token cost auditing.

Practical · Building a Memory-Enabled AI Writing Partner (Part 3): Security Architecture (RAG Protection, Fact Guard, and BYOK)

FantasyNovelAgent Series Part 3: Real Threats in the RAG Era – Prompt Injection and Content Confusion; Building Structured, Auditable Retrieval Content Injection Protocols. In-depth coverage of RAG injection defense, Fact Guard, key management, and dependency security to ensure safe and controllable AI writing systems.