if you work across multiple agents, start using @linear such a huge QOL upgrade for tracking work, staying organized, and getting your ai tools truly collaborating shoutout @altryne for preaching this to me
Linear on X
Praise for Linear's speed and polish, and for the shared layer it gives people and their AI agents, sits alongside scattered complaints, questions about what the agent numbers actually measure, and requests for quick answers without waiting on a sandbox.
First written 27 Oct · what changed · from 135 posts by 111 people
Tracking posts that say “@linear”
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Tone· 63 posts from 54 people· written 27 Oct
How do people feel about Linear?
Reception is warm and specific: plain admiration (21 people) and Linear as the shared place where people and their AI agents work (20 people) are the two big themes, level with each other; code review follows at 9.
Praise keeps naming the same things: speed, a clean interface, small touches — "super fast, great UI/UX", a backlog that fits on two screens, a build that runs well on a Duo. A group just as large values Linear as the layer agents work through: a model started from a mention on a ticket in under 90 seconds, loops on GitHub and Slack, agent session APIs wiring issues into Claude Code and Codex, and one person keeping a private team for personal productivity agents. One explains the draw as design for humans — triage, blocking, parent and sub-tasks — that agents can then use.
Code review is a distinct third theme at 9 people: "guided code review", Diffs that group a large change so it stays readable, and asking about a line before commenting.
5 people like it with a qualifier — one hated it as a project management tool but cannot live without it for agent collaboration, another calls it the best UI with weaker branding. 3 are plainly unhappy, one calling it annoying for a small team.
- Loves it22
- Best place to run agents22
- Great code review and Diffs10
- Positive but holding back6
- Disappointed3
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At some point between Astra and Opus 5.5 this has flipped, instead of hitting an invisible wall, the models reliably find a way to make things faster I recently ran a similar prompt (ok, maybe I gave it a bit more prior art) on @linear Diffs and the results are just ridiculous
I've been using @linear to track tasks for my projects for a month now, and I can't recommend it enough Smooth, super fast, great UI/UX, MCP support is top-notch 🫶 No more messing around with Apple Notes
What I meant was: highlight the part you want to ask about and then it shows an "ask linear" button. I use it quite often to validate things I'm about to comment on to make sure I lower the amount of false comments I put in PRs. Something like "hey, I think that X, am I right?"
I’ve used @linear on teams tracking product work, and hated it with a passion But i’ve also used it as an agent collaboration tool and can’t live without it It’s all in how you apply it My take: use it as a shared canvas for you and your agents to work together, provide context, and learn. Not as just a project management tool link
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Pain points· 21 posts from 17 people· written 27 Oct
What do people complain about with Linear?
The complaints are many and small: four themes are level at 3, 3, 3 and 3 people each — a slow agent sandbox, agent-created issues nobody reads, GitHub's fix-it flow in Linear's history, and wanting a person to approve what agents decide.
Ask a quick question about code and the agent spins up a sandbox — "asked a quick question, got a sandbox and a coffee break" — so people give up before an answer arrives. Agents also open issues faster than anyone closes them; one says agent-created issues overtook human ones in spring, and another wants to know how much of that growth ever leaves the backlog, or how to separate a good agent issue from noise. GitHub's fix-it flow throws a merge commit into Linear's git history and, for one person, hid the open-on-GitHub link.
The rest is quieter. Some want a human kept in the loop before agents decide what is urgent or ship a fix; one asks who picks whose customer requests the agent reads. A few cannot get environments working — manual setup, an agent picking the wrong environment, and docs that do not mention the thing that is blocking them. Two name price or issue limits as why they left.
- Agent sandbox is slow3
- Agent chatter floods the backlog3
- GitHub fix-it clutters history3
- Want a human kept in the loop3
- Can't get it working, docs don't help3
- Too expensive or hits limits2
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asked a quick question, got a sandbox and a coffee break
400% tracks with what we're seeing. Agent-created issues overtook human ones for us around spring. The open question is quality: separating a good agent issue from noise at that volume.
Worst part of GitHub’s “fix it” feature is that it throws a merge commit into my linear got history. Hate it
letting agents triage security vulns is the part i'd be nervous about tbh. dead code cleanup sure, but anything where it decides what's urgent i still want a person looking first. curious how Loops handles that handoff
struggling last couple of days to access this in one of our repos and docs are not helping. i do like it
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Alternatives· 18 posts from 17 people· written 27 Oct
What are the alternatives to Linear?
The comparisons people make most are with Jira and with Claude and Claude Code, level at 3 and 3 people; everything else is one or two people naming their own replacement.
Jira is the benchmark, usually as something people escaped from: one credits Linear with a request that would once have taken stakeholder calls, 10+ Jira tickets and three months of backlog waiting, and another is trying to move their work team off Jira. Claude and Claude Code are weighed differently — one keeps all planning in Linear so Claude has the context and updates issues and raises pull requests itself, while another asks why use Linear for this when Anthropic does it better, and a third measures Linear against simply asking their own Claude Code.
Plane comes up twice as the cheaper move: two people switched over price, and one misses Linear's fast interface afterwards. Two would rather work in GitHub — one waiting only for diffs on mobile, another arguing specs belong in the repo and tickets are for incidents and triage. Two use a tool they built themselves, one after hitting issue limits. Then single voices: moving company docs off Notion, still reaching for Confluence to nest documents, calling the guided reviews a fork of Graphite's code tours, and asking how hard it would be to migrate tasks off Linear.
- Jira and Atlassian3
- Claude and Claude Code3
- Mulling a switch3
- Plane2
- GitHub2
- A homegrown tool2
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Back in the old days, a request like this would have taken five stakeholder alignment calls, 10+ Jira tickets, and 3 months of wait time because the backlog is choked. Kudos to @linear for building a product that borders on giving magical PM abilities.
nice to see linear being succesful, which goes against overall sentiment of saas being dead. also trying to get my work team to swap over, not a big fan of jira since years haha
Why use Linear for this use case? Anthropic is way better for this
well not faster than the author but thats not what its competing with, its competing with me asking my claude code
@linear 好用,就是太贵了🤣,换 @planepowers 了 现在有 AI,项目越写越多,没个地方管任务,真有点顾不过来。 结果 Plane 的 GitHub 集成也得开 Pro……干脆自己做了个 skill。让 agent 读任务、写代码、提 PR,再把进展写回 Plane,省得自己费事。 link
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Questions· 15 posts from 13 people· written 27 Oct
What do people ask about Linear?
The largest group of questions, 5 people, presses on the numbers behind the claims: what the growth and speed figures actually measure. Next is traceability — whether a shipped change still links back to the request behind it (3 people).
Under posts about 400% growth or fixes landing faster, people ask what is being counted: is that chart cycle time or throughput, did p95 drop because fixes got faster or because triage did, do issues opened by humans and by agents break out separately, and how many were closed. One states the worry that once agents drive the counts, issue numbers measure how chatty the agents are rather than how much work exists.
The next group asks whether the trail survives. Does the agent take the "why we built it" from a decision doc or does someone still write that by hand, can it show which customer request led to each shipped change, and how does that link hold when agents split or rewrite issues along the way. The smaller questions are practical: is it worth trying, what took Linear beyond issue tracking, does using agents need an API key or does OAuth do, and where to find a shortcut or the command bar on a foldable screen.
- Asking for the numbers behind the claim6
- Does shipped work trace back?3
- Is it worth adopting?2
- Can I use my own AI subscription?2
- Keyboard shortcuts and the command bar2
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Impressive! I’m curious, do you have the data to say how the ratio of issues opened and closed by agents vs humans is trending?
The split inside that 400% is the number I'd want. If most of the growth is MCP, issue count stops measuring how much work exists and starts measuring how chatty the agents are. Do humans and MCP break out separately?
How many closed?
The QBR step only lands if each shipped issue still traces back to the original customer request. When agents split or rewrite issues along the way, how do you keep that link from getting lost?
The QBR step is where this gets real. An agent can create 1,000 issues, but can it show which customer request led to each shipped change—and which assumptions changed along the way? Without that trail, faster workflows can produce faster confusion.
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Wishes· 33 posts from 27 people· written 27 Oct
What do people want from Linear?
The clearest request is a quick answer without the sandbox: 5 people want to ask about a line or a change and get a reply in seconds, ahead of every other wish.
What they describe is small and concrete: highlight a few lines of a pull request and ask "was this necessary and if so why?", with the answer arriving as an inline thread only they can see. The sandbox is what gets in the way — one waits minutes while it sets up an environment and a coding agent — and another says a fast agent with the diff and the linked issue preloaded would cover most "why is this here" questions, leaving the full sandbox for when the answer needs the code run.
Docs are the next theme at 2 people: folders and nested folders in Team Documents, the one thing still sending someone to Confluence; docs that live inside a doc the way sub-issues live in an issue; a doc site for the whole workspace; and callouts that stand out. 2 want Diffs led by what changed for the user, with the current line kept anchored.
Beyond that, wishes are single voices: a native Linux app from paying users, agent identities, a calendar view, marking an issue blocked while creating it, an official CLI, personal workspaces, and external doc sharing.
- Fast answers without a sandbox5
- Better organization for docs4
- Ask about selected lines of code4
- Improve how Diffs present changes2
- Native Linux app2
- Agent identities2
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asked a quick question, got a sandbox and a coffee break
It’s about being able to ask a quick question about the code in the PR. I want to highlight a few lines and ask “was this necessary and if so why?” And have the agent reply in the UI as a “comment thread” (only visible to me still)
Like an inline explain, without spinning up a whole sandbox. Makes sense.
Docs work great and are super fast! I'm curently moving more and more company Docs from Notion to Linear until we can ditch Notion. Here are the things I'm personally missing: 1) Better Organisation of Docs (e.g. Docs that live in a Doc like in a Subissue of a Issue) ... 1/2
🥹 @linear when can we have folders and nested folders in Team Documents? It's the one thing that still makes me reach out for Confluence.
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In their words
How do people talk about Linear?
The phrases people use most, counted once per person.
- 1“customer request”3
- 2“guided code review”2
- 3“code reviews”2
- 4“ask linear”2
- 5“quick question”2
- 6“local claude”2
- 7“shipped work”2
- 8“agent to create”2
- 9“project management”2
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