
GitHub
GitLab
BitBucket
VS Code
Git
Treehouse
Pantheon
CodePen
Miro
Mural
LucidChart
Excalidraw
Trello
Whimsical
Notion
Milanote
Miro AI is the artificial intelligence layer built directly into the Miro collaborative workspace. It helps teams think, create, and execute faster by embedding AI into the same visual environment where collaboration already happens.
Rather than being a separate tool, Miro AI works contextually across the canvas, using existing content to support teams throughout the entire workflow โ from ideation to delivery.
What makes Miro AI valuable - AI embedded in the workspaceโจMiro AI operates directly on boards and canvas content, reducing context switching and making AI support immediately relevant to the work at hand. - AI Sidekicks (AI teammates)โจBuilt-in AI Sidekicks assist teams with ideation, planning, writing, and structuring content, acting as collaborative partners rather than isolated tools. - AI Flows for end-to-end workflowsโจAI Flows help guide and automate multi-step processes, enabling teams to move from idea to outcome more efficiently. - Content creation & refinementโจTeams can generate, edit, summarize, and refine text, visuals, and boards using AI โ saving time on repetitive or manual tasks. - Smarter collaboration at scaleโจMiro AI helps teams align faster by summarizing boards, extracting insights, and organizing information across large or complex projects. - Enterprise-ready & secureโจDesigned with governance and security in mind, Miro AI supports enterprise requirements while remaining accessible for everyday team use.
Who itโs for Miro AI is especially useful for: - Product and project teams - Designers and creative teams - Marketing and content teams - Strategy, innovation, and operations teams - Organizations adopting AI for collaborative work
GitHub
MiroBased on our record, GitHub seems to be a lot more popular than Miro. While we know about 2476 links to GitHub, we've tracked only 243 mentions of Miro. 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.
"""Clones a single branch of a GitHub repository into a temporary directory for local scanning.""" Import logging Import shutil Import subprocess Import tempfile Logger = logging.getLogger(__name__) Class RepoFetchError(RuntimeError): """Raised when the target repository/branch cannot be cloned.""" Class RepoFetcher: """Shallow-clones a single branch of a repository so its tests can be scanned... - Source: dev.to / 1 day ago
# video-meta.yml Topic: > Walking through how we cut cold-start time on a Lambda-backed GraphQL API from 2.4s to under 400ms, including the two things that didn't work. Target_keyword: lambda cold start optimization Audience: backend devs who already ship serverless, not beginners Model_channels: - the three channels currently ranking for this keyword Links: repo: https://github.com/... slides:... - Source: dev.to / 3 days ago
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 / 7 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 / 15 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 / 15 days ago
Lucidchart is better when polished collaboration matters enough to justify the cost. Mermaid is better when the team wants diagrams in code. Miro is better for workshops than for long-term architecture documentation. - Source: dev.to / 4 months ago
Miro is a popular online whiteboard platform where users can create mind maps, diagrams, and visual workflows together. It also supports collaboration between multiple users. - Source: dev.to / 8 months ago
Create user story mapping diagrams using Miro,. - Source: dev.to / over 5 years ago
Virtual White Boards: Most meetings involve some form of interaction that typically takes place on whiteboards in an office setting. If we use a physical whiteboard in conjunction with a conferencing tool, we risk limiting the involvement of remote participants. Therefore, having a virtual alternative is necessary. A good example of this is Miro, where you can invite people to collaborate live on various types of... - Source: dev.to / about 1 year ago
Miro Miro.com Free collaborative whiteboard for brainstorming and wireframing. - Source: dev.to / over 1 year ago
GitLab - Create, review and deploy code together with GitLab open source git repo management software | GitLab
Mural - MURAL is a visual collaboration workspace for modern teams.
BitBucket - Bitbucket is a free code hosting site for Mercurial and Git. Manage your development with a hosted wiki, issue tracker and source code.
LucidChart - LucidChart is the missing link in online productivity suites. LucidChart allows users to create, collaborate on, and publish attractive flowcharts and other diagrams from a web browser.
VS Code - Build and debug modern web and cloud applications, by Microsoft
Excalidraw - Excalidraw is a whiteboard tool that lets you easily sketch diagrams that have a hand-drawn feel to them.