Workflow

Introduction Git has become the de‑facto standard for source‑code version control, and most developers are familiar with its core commands: clone, checkout, branch, merge, and the like. Yet, as projects grow and teams adopt more sophisticated workflows, the limitations of a single working directory become apparent. Switching branches repeatedly, juggling multiple feature branches, or maintaining parallel builds can be cumbersome, error‑prone, and time‑consuming. Enter Git worktrees—a powerful, built‑in mechanism that lets you check out multiple branches (or commits) simultaneously, each in its own separate working directory, while sharing a single .git repository. In this article we will: ...

Introduction Artificial intelligence has moved beyond isolated, single‑purpose models. Modern applications increasingly rely on multi‑agent workflows, where several specialized agents collaborate to solve complex tasks such as data extraction, reasoning, planning, and execution. While the capabilities of each agent grow, orchestrating them at scale becomes a non‑trivial engineering challenge. Enter serverless architecture and vector databases. Serverless platforms provide on‑demand compute with automatic scaling, pay‑as‑you‑go pricing, and minimal operational overhead. Vector databases, on the other hand, enable fast similarity search over high‑dimensional embeddings—crucial for semantic retrieval, memory augmentation, and context sharing among agents. ...