[{"data":1,"prerenderedAt":230},["ShallowReactive",2],{"blog-\u002Fblog\u002Fveflow-vs-linear":3},{"id":4,"title":5,"author":6,"body":7,"cover":214,"description":215,"draft":216,"extension":217,"meta":218,"navigation":219,"path":220,"publishedAt":221,"seo":222,"stem":223,"summary":224,"tags":225,"updatedAt":228,"__hash__":229},"blog\u002Fblog\u002Fveflow-vs-linear.md","Linear Alternative for AI Coding Agents: Veflow vs Linear","Veflow team",{"type":8,"value":9,"toc":201},"minimark",[10,22,25,30,33,62,65,81,85,88,91,94,97,101,104,107,110,114,117,124,128,131,151,154,158,184,188,191,194,198],[11,12,13,14,21],"p",{},"Teams looking for a Linear alternative that works natively with AI coding agents have a sharper choice now. On June 11, Linear shipped ",[15,16,20],"a",{"href":17,"rel":18},"https:\u002F\u002Flinear.app\u002Fchangelog\u002F2026-06-11-coding-sessions",[19],"nofollow","coding sessions",": assign an issue to its agent and it writes the code — in the cloud, with Claude Code or Codex, grounded in the issue's history. The diff comes back in the thread. You review, iterate, and merge.",[11,23,24],{},"For a while, the conversation with prospective teams went: \"We already use Linear. Why would we add Veflow on top?\" That question just got harder — and the answer got more interesting.",[26,27,29],"h2",{"id":28},"what-linear-shipped-specifically","What Linear shipped, specifically",[11,31,32],{},"It deserves specifics rather than a hand-wave, because the work is real.",[34,35,36,44,50,56],"ul",{},[37,38,39,43],"li",{},[40,41,42],"strong",{},"Coding sessions"," run in the cloud — no local setup. You start one by assigning an issue, or from chat, a comment, or Slack. The session returns a diff for review, and you iterate in the same thread until it merges. Linear says it resolves about 30% of its own incoming bug reports this way on the first attempt.",[37,45,46,49],{},[40,47,48],{},"Linear Agent"," (March 2026) does real PM work: triage, extracting requirements from customer requests, breaking work into sub-issues, scoping specs, spotting repeated themes.",[37,51,52,55],{},[40,53,54],{},"Preview links"," surface on the issue when your deploy platform — Vercel, Netlify, Cloudflare, AWS Amplify — posts one on the PR. Linear harvests the link and pins it, until 30 days of PR inactivity removes it.",[37,57,58,61],{},[40,59,60],{},"Pricing"," is usage-based on AI credits: roughly $0.50–1 for copy tweaks, $3–5 for small bug fixes, $5+ for complex tasks, on top of the seat.",[11,63,64],{},"If your team's relationship with AI is \"fix the small stuff straight from the issue,\" this is genuinely good, and you should use it.",[11,66,67,68,72,73,76,77,80],{},"It is also Linear agreeing with the bet underneath Veflow: when the agent is the writer, the tracker becomes the place where the work ",[69,70,71],"em",{},"happens",", not just where it's organised. For a decade the tracker held a pointer — title, owner, status, links out — and the real work happened in the engineer's head and editor. Agents broke that design, and now both products are rebuilding around the new shape. The question is no longer ",[69,74,75],{},"whether"," the work belongs in the workspace. It's ",[69,78,79],{},"how"," the workspace holds it.",[26,82,84],{"id":83},"federated-loop-vs-native-agentic-workspace","Federated loop vs. native agentic workspace",[11,86,87],{},"Look at where each piece of the loop actually lives.",[11,89,90],{},"In Linear's version, the loop is federated. The repo lives on GitHub — sessions require connecting it with code access. The preview is produced by your deploy vendor, posted to the PR, and harvested into Linear as a link shortcut that expires after 30 days of inactivity. The session is a thread attached to an issue. Each surface in the loop is a window onto a system that lives somewhere else, and the loop only closes if every vendor in the chain — GitHub, the deploy platform, the model provider — is wired up and cooperating.",[11,92,93],{},"In Veflow, the loop is native. The task owns the agent conversation, the plan, the diff, and the preview. The preview isn't a link harvested from a vendor's PR comment — Veflow runs the app in its own preview containers, one per task, alive as long as the PR is. The diff is read in a built-in code explorer, repo tree alongside. The merge happens from the task — GitHub stays the source of truth, but you never leave the surface where the brief and the preview are. Nothing in the chain belongs to a third vendor.",[11,95,96],{},"Does the distinction matter? For a copy tweak, honestly, no — a harvested Vercel link is fine. It starts to matter when reviewing agent work is your team's main job. Then \"the preview expired,\" \"this repo's previews aren't wired to the PR,\" and \"the diff is here but the brief is two tabs away\" stop being papercuts and start being the workflow.",[26,98,100],{"id":99},"one-agent-or-a-team","One agent or a team",[11,102,103],{},"Linear ships one agent. It triages, plans, and now codes — a generalist that does everything attached to the issue.",[11,105,106],{},"Veflow ships a team. Polaris, the PM agent, takes a rough goal and turns it into a project and task tree, then routes each task. Atlas, Nova, and Orion are engineer agents with a role per lane — full-stack, backend and systems, API and infra. Several can work in parallel, each on its own task, each opening its own PR.",[11,108,109],{},"This isn't a model-quality difference — under the hood both products call the same frontier models. It's a workflow difference: one issue with one session, versus a backlog being worked by several agents at once while you review and merge. If your agent usage is one fix at a time, a single agent is simpler. If agents do the majority of your code-writing, the team shape is what keeps the queue moving.",[26,111,113],{"id":112},"where-the-history-lives","Where the history lives",[11,115,116],{},"A session thread shows you the iteration that just happened. Veflow keeps the whole record on the task, permanently: every agent conversation — text, tool calls, diffs — plus every decision, comment, and status change in a durable activity feed. Six weeks later, anyone on the team can open the task and replay exactly how the feature got built and why it turned out the way it did.",[11,118,119,120,123],{},"When agents write most of the code, this stops being nice-to-have. The agent's conversation ",[69,121,122],{},"is"," the design discussion that used to happen in someone's head. Somewhere has to keep it.",[26,125,127],{"id":126},"when-linear-is-enough","When Linear is enough",[11,129,130],{},"Be honest:",[34,132,133,139,145],{},[37,134,135,138],{},[40,136,137],{},"Your AI work is bugfix-sized."," Linear's own numbers point here — 30% of incoming bug reports fixed on first attempt. Issue in, small diff out, merge. Coding sessions are built for exactly this.",[37,140,141,144],{},[40,142,143],{},"You ship mostly human-written code."," The writing surface is your IDE; the tracker only needs to point at it. Linear's depth — cycles, initiatives, insights — is the bigger lever.",[37,146,147,150],{},[40,148,149],{},"Your deploy stack is already Vercel-shaped and wired up."," Then the federated loop mostly closes, and the seams cost you little.",[11,152,153],{},"In all three cases, Linear is the right answer and Veflow is solving a problem you don't have.",[26,155,157],{"id":156},"when-veflow-earns-a-look","When Veflow earns a look",[34,159,160,166,172,178],{},[37,161,162,165],{},[40,163,164],{},"Agents do more than half your code-writing."," Reviewing agent work is the job now. You want the brief, the diff, and the running app on one screen, not federated across three vendors.",[37,167,168,171],{},[40,169,170],{},"You want agents working in parallel."," A PM agent planning and a roster of engineer agents shipping beats one session at a time.",[37,173,174,177],{},[40,175,176],{},"You want the record."," Permanent agent conversations and a durable activity feed on every task — not a thread per session.",[37,179,180,183],{},[40,181,182],{},"Your previews shouldn't depend on a deploy vendor."," Veflow runs them itself, per task, no PR-comment harvesting, no expiry window.",[26,185,187],{"id":186},"veflow-plus-linear-not-veflow-versus-linear","Veflow plus Linear, not Veflow versus Linear",[11,189,190],{},"The most common real-world outcome isn't \"drop Linear.\" Veflow syncs with Linear two-way — issues, comments, status — and imports a full workspace in one shot: issues, labels, projects, teams. Plenty of teams keep Linear as the planning layer the org sees and let Veflow be the surface where agent work actually happens. The tickets stay in lock-step either way.",[11,192,193],{},"Linear answers \"what are we building this quarter?\" better than any tool in existence. Veflow answers \"where is this feature right now, and can I click a URL to see it running?\" without making you leave the task.",[26,195,197],{"id":196},"how-to-tell-which-side-youre-on","How to tell which side you're on",[11,199,200],{},"The cheapest test: take this sprint's agent-suitable tasks and count how many are bugfix-sized versus feature-sized. If it's mostly the former, Linear's coding sessions will serve you well. If it's the latter — and reviewing agent work is becoming your team's main job — that's the work Veflow is built around.",{"title":202,"searchDepth":203,"depth":203,"links":204},"",3,[205,207,208,209,210,211,212,213],{"id":28,"depth":206,"text":29},2,{"id":83,"depth":206,"text":84},{"id":99,"depth":206,"text":100},{"id":112,"depth":206,"text":113},{"id":126,"depth":206,"text":127},{"id":156,"depth":206,"text":157},{"id":186,"depth":206,"text":187},{"id":196,"depth":206,"text":197},"\u002Fblog\u002Fveflow-vs-linear.png","Teams looking for a Linear alternative that works natively with AI coding agents have a sharper choice now. On June 11, Linear shipped coding sessions: assign an issue to its agent and it writes the code — in the cloud, with Claude Code or Codex, grounded in the issue's history. The diff comes back in the thread. You review, iterate, and merge.",false,"md",{},true,"\u002Fblog\u002Fveflow-vs-linear","2026-06-26",{"title":5,"description":215},"blog\u002Fveflow-vs-linear","Linear's coding sessions are good for bugfixes. If AI agents do most of your coding, here's what a native agentic workspace gives you that Linear can't.",[226,227],"comparison","positioning",null,"N3lB0r9bgOxiVew_tn-dVPJT_H1q8kmusZX30NQQXOk",1785474881540]