Lawyer Cheng Jiandu demonstrates an end‑to‑end AI‑assisted litigation process for an equipment sale dispute, showing how AI can organize materials, verify facts, perform multi‑model checks, and generate draft documents while the lawyer retains ultimate decision‑making and oversight.
The article argues that transcript systems, not document generation, should be the primary entry point for AI in policing, because transcripts capture evolving case facts, identities, evidence leads, and contradictions; with a semantic platform, they become reusable case context for evidence review, approvals, document drafting, and supervision.
This article describes the design, implementation, and operational management of a full‑process automated testing platform for airline ticket systems, covering background analysis, goals, measurement metrics, platform architecture, case handling, result verification, quality gates, and future improvement plans to enhance system stability and quality.
This article analyzes the major challenges of large‑scale manual testing, proposes a three‑step reconstruction using standardized inputs, intelligent execution and analysis, and details the implementation of a mind‑map case‑management platform and a white‑box based intelligent testing system with real‑world case studies.
This article presents Ctrip's user‑center interface automation testing platform, detailing its three‑component architecture, the full test‑task lifecycle, and practical solutions that reduce case‑writing difficulty, improve robustness, integrate manual testing, and enable automatic failure analysis.
The article uses a humorous Kung Pao chicken ordering analogy to expose common workflow design pitfalls—such as focusing on functions over processes, lacking proper locking, over‑complicating steps, unclear role responsibilities, and rigid naming—while offering practical guidance for building flexible, component‑based operation systems.
Through a humorous restaurant analogy, the article reveals common workflow design flaws such as over‑emphasizing functions over processes, missing locking mechanisms, overly complex steps, unclear role responsibilities, and the necessity for flexible, component‑based workflow systems to handle changing requirements.
This article describes the challenges of traditional case and bug workflows in fast‑moving development, proposes automated solutions such as self‑checking test standards, checklist‑to‑case conversion, and reject‑rule enforcement, and details the architecture and user‑experience improvements of the Todolist platform integrated with Jira.
