Tested Qoder this week. Dropped a docs link into the task screen. Asked it to generate an architecture diagram. The agent read the docs, planned the structure, and built the diagram without me touching a single tool.

Here's what happened: Opened Qoder's task screen. Selected Coding task. Pointed it to a workspace folder. Prompt: "Read these docs and create an architecture diagram." Picked Qwen 3.8 Flash (running at 0.0x Credits through September 30). Hit send.

Qoder started planning immediately. It parsed the documentation, identified the key components, mapped dependencies, and outlined the diagram structure. No back-and-forth. No manual steps. Just straight execution.

The agent opened files, extracted technical details, and started building. Every step was visible in the interface. I could pause or adjust if needed, but didn't have to. It finished and saved the diagram to the workspace.

Final result: Clean architecture diagram that accurately reflected the docs. No prompt engineering. No tool-switching. Just described the outcome and let the agent handle the workflow.

Why this matters: Qoder treats AI work as tasks, not chat. You describe what you need. The agent plans, executes, and verifies. Browser Use for signed-in web tasks. Computer Use for desktop apps. /goal for measurable outcomes. Real agent workflow in a desktop app.

Getting started: Sign up first using this link at before you download. You will get 600 Credits: 300 from the trial and 300 from my code. Start building at zero cost.

@_tiv2 Dropping a docs genrate task dia gram genealogy

Try Qoder free with 600 Credits 👇 300 from the Pro trial + 300 with my code 7UL8TM.

Qoder’s AI agent handles the entire process without manual intervention.

This is a good example of AI handling the process, not just generating the final output.

Yes, it is. Thanks for checking out.

The agent read the docs, planned the structure, and built the diagram without me touching a single tool.

Architecture diagrams are exactly the kind of repetitive technical task agents should be able to take off your plate.

Yes 100%

it can turning that into a diagram

Yes, I have done that already 😄

That alone saves time.

Interesting to see trends packaged into templates

This kind of workflow could be useful for onboarding to unfamiliar codebases too.

Yes, it is. Thanks for checking out.

The fact that the agent can understand the docs before touching the actual work is a big part of the value.

@_7ien Tried similar and same experience. Just drop the link and it handles the rest.

Documentation driven diagram generation is an interesting workflow

@_tiv2 Dropping a docs link into task screen asked it into generated diagram

Reading docs and translating them into structure is no small task.

@_tiv2 Qwen3.8-Flash is free through Sept 30

@_tiv2 Understanding an unfamiliar codebase is where workflows like this can really shine.

Hi! would like to get follow back?

Dropping dock link asked stratus planned touching built

The interesting part is that the prompt stays simple while the workflow underneath gets pretty complex.

Interesting example of automated technical documentation workflows

The workflow reduces repetitive architecture diagram work

The agent handling structure automatically is interesting

Qoder AI transforms documentation into architecture diagrams automatically, making complex tasks faster and easier.

The agent handled the boring part so the developer can focus on decisions.

How long did it take? And was it Mermaid, PlantUML or direct image? Need details before I switch from my current stack.

From chaos to clarity in one task. 🌌 That's the power of a true autonomous agent. Welcome to the EchoVerse era.

Agent that actually reads before it builds. That's rare. Most just hallucinate a diagram. This workflow is clean. 🧠

The future isn't 10 tools, it's 1 agent that uses 10 tools for you. Qoder nailed it.

I like the outcome-first approach here. Define the goal and let the agent figure out the execution.

Your project shows promise! Let’s discuss potential collaborations. ➡️💬