SShortSingh.
Back to feed

WorkDSH Explains Why Plugin Architecture Complements Its Existing AI Workspace Tools

0
·48 views

WorkDSH, an open-source AI workspace built on DeepSeek Harness, already offers skills, expert configurations, connectors, and projects, but its developers found these alone insufficient for enforcing structured business rules. While projects provide continuity and context for tasks, they cannot by themselves create editable records, manage approval states, or trigger checks at the point of action. The team illustrates this gap using a travel agency scenario, where a quoting plugin would enforce price confirmation and manager approval rules that chat history and files cannot replicate. WorkDSH's own core features — including Projects, Library, Skills, and Experts — are themselves delivered as plugins, validating the approach in practice. Developers are advised to build a new plugin only when the same operation recurs across projects and requires records and rules that the software itself must manage.

Read the full story at DEV Community

This is an AI-generated summary. ShortSingh links to the original source for the complete article.

Discussion (0)

Log in to join the discussion and vote.

Log in

Related stories

0
ProgrammingDEV Community ·

How to block a program from accessing the internet on Windows

Windows users can stop a program from connecting online by creating an outbound rule in Windows Defender Firewall. The process involves locating the program's .exe file and then creating a block rule through the Advanced Security console or a PowerShell command. Users should note that the standard Allow an app setting in Control Panel only governs incoming connections and will not stop outgoing traffic. Some programs rely on several executables, such as updaters or helpers, so each one may need its own rule. The rule takes effect immediately and can be disabled or deleted at any time.

0
ProgrammingDEV Community ·

How to Connect Cursor, Continue, and Open WebUI to the N3mak OpenAI-Compatible Gateway

The guide explains how tools that speak the OpenAI Chat Completions format can be pointed at any compatible base URL. It covers configuring three popular clients, Cursor, Continue, and Open WebUI, to use the N3mak AI Gateway with a base URL, a Bearer API key, and a model identifier. The gateway's supported endpoints are listed, including model listing and chat completions, with gpt-oss-20b as the default model. Model availability varies by plan, from the free trial up to the Pro tier, and the guide notes which Cursor features the custom endpoint does not cover. Step-by-step setup instructions and curl test examples are provided for each client, using placeholder keys rather than live credentials.

0
ProgrammingDEV Community ·

CS Student Shares Plan to Learn Data Structures and Algorithms in C++

A second-year Computer Science Engineering student describes starting to study Data Structures and Algorithms to strengthen logical thinking and problem-solving skills. The learner is focusing on C++ and covering topics such as arrays, strings, searching and sorting, the two-pointer technique, binary search, and complexity analysis. Their method involves understanding the problem, weighing approaches, dry-running examples, analyzing complexity, and testing optimized solutions. They also plan to build an interactive DSA Visualizer using HTML, CSS, and JavaScript to make these concepts easier to grasp.

0
ProgrammingDEV Community ·

Anthropic Outlines Its Multi-Stage Hiring Process for Engineering Candidates

Anthropic evaluates software engineering and research candidates on more than coding skill, including fundamentals, judgment, communication, and alignment with its mission. A typical process begins with a recruiter screen, followed by a technical assessment, a hiring manager interview, a virtual onsite loop, and a culture and project review. The exact sequence differs by role, seniority, and team, and the company does not publish a single standardized schedule. The guide notes that stages such as the technical screen may use tools like CodeSignal or Google Colab. Candidates are advised to prepare by connecting their projects to meaningful engineering problems and understanding the company's AI safety work.