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GitHub ArchGenNo ArchGen videos yet. You could help us improve this page by suggesting one.
ArchGen's answer:
ArchGen focuses on turning plain-text system descriptions into clean, professional architecture diagrams that are meant to be edited and refined, not treated as final AI output.
Unlike many diagram tools that start from boxes and arrows, ArchGen starts from intent and structure, then helps users quickly iterate toward a diagram they actually agree with.
ArchGen's answer:
ArchGen is a good fit when you care more about clarity and speed than perfect formal notation.
Compared to diagram-as-code tools like Mermaid or PlantUML, it reduces the upfront syntax and layout work. Compared to traditional visual editors, it avoids manual box-by-box drawing.
The goal is not to replace architectural thinking, but to get closer to a usable diagram faster.
ArchGen's answer:
ArchGen is built for software engineers, architects, and technical leads who regularly need to explain system design in documents, specs, or discussions.
It is especially useful for people who already know what they want to communicate, but donโt want to spend too much time manually drawing diagrams.
ArchGen's answer:
ArchGen started from a common frustration: most architecture diagrams are either time-consuming to draw or hard to keep aligned with how you actually think about a system.
The idea was to use AI as a starting point for structure and layout, while keeping humans fully in control of the final result through editing and refinement.
ArchGen's answer:
ArchGen is built as a modern web application, combining large language models for text understanding with a custom diagram rendering and editing layer.
The focus is on producing structured, editable outputs rather than static images.
ArchGen's answer:
ArchGen is currently used by individual developers and small teams exploring faster ways to create and iterate on architecture diagrams.
The product is still early, and feedback from early users plays a big role in shaping its direction.
Based on our record, GitHub seems to be more popular. It has been mentiond 2474 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Import struct, json, urllib.request REL = "https://github.com/{owner}/{repo}/releases/download/{tag}/" PART = ["...part1.zip.001", "...part2.zip.002", "...part3.zip.003"] SIZE = [1992294400, 1992294400, 1893639808] # from the releases API Def grab(part, start, end, out): # HTTP range fetch req = urllib.request.Request(REL + PART[part], Headers={"Range":... - Source: dev.to / 3 days ago
Is published at https://github.com/.keys so an SSH server to which you connect could do a reverse lookup. This is the reason why my ~/.ssh/config has those 2 lines at the end:- Source: Hacker News / 11 days agoHost *.
All of this assumes you can actually inspect what the agent did โ the real inputs after resolution, the real tool outputs, the real intermediate steps. That is the other half of the workflow. AgentLens captures the trace: every model and tool step, resolved inputs, raw outputs. agent-eval scores and gates the output; AgentLens gives you the unforgeable, agent-didn't-author trace data for Tier 1+2 to score against... - Source: dev.to / 11 days ago
# git: the API token, plus the credential used for the push Kubectl create secret generic foreman-github \ --from-literal=GITHUB_TOKEN="$GITHUB_TOKEN" -n foreman-system Kubectl create secret generic foreman-git-credentials \ --from-literal=token="$GITHUB_TOKEN" -n foreman-system Helm upgrade foreman llmkube/foreman -n foreman-system --reuse-values \ --set agent.githubToken.secretName=foreman-github \ ... - Source: dev.to / 12 days ago
This is why eval and observability ship as a unit, not as separate purchases. agent-eval scores and gates the output โ the tiers above, drift, hallucination. AgentLens captures the trace of how the agent got there: every model step and tool call, the resolved inputs, the raw outputs, the trajectory. Two things fall out of that:. - Source: dev.to / 21 days ago
GitLab - Create, review and deploy code together with GitLab open source git repo management software | GitLab
ArchToCode - Generate dynamic AI Mermaid architecture diagrams from any GitHub repo or local codebase using AI. Devslopers and vibe coders can understand logic without look to code. Save time, eazy tu understand complex projects.
BitBucket - Bitbucket is a free code hosting site for Mercurial and Git. Manage your development with a hosted wiki, issue tracker and source code.
Mermaid - Create diagrams and visualizations using text and code.
VS Code - Build and debug modern web and cloud applications, by Microsoft
Bluebeam Revu - The end-to-end digital workflow and collaboration solution trusted by over 1 million AEC professionals worldwide. Revu delivers award-winning PDF creation, editing, markup and collaboration technology designed for AEC workflows.