33 Best Tweets About Devin (2026)

Discover the best tweets about Devin AI, including software engineering tasks, coding workflows, benchmarks, product updates, team adoption, and limitations.

Cognition Devin software engineering agent capabilities, coding tasks, benchmarks, releases, adoption, reliability, limitations, and user evidence.

Creators
27
Updated

What 33 top Devin posts reveal

The supplied conversation presents Devin as a cloud-based engineering agent used for delegated implementation, testing, PR workflows, review, and multi-agent coordination. User reports are often positive, but the evidence also identifies setup demands, verification and review requirements, uneven task persistence, usage limits, and token-cost concerns. The supplied engagement outliers are concentrated in workflow, cloud-agent, and review/security posts.

Dominant tone
Positive

66.7% of posts

Median score
9.63

All-time engagement

Leading format
Announcement

36.4% of posts

Recent posts
54.5%

Published in 90 days

Conversation map

The themes creators return to

Adoption and productivity

User reports of adoption, productivity gains, shipped projects, cloud-agent usage, and changing engineers from coders into delegators and reviewers.

36.4%

Model and harness performance},{

Model, harness, and performance discussion, including SWE releases, inference speed, model comparisons, token limits, and context management.

12.1%

Tone and stance

Sentiment Positive leads
Author posture Supportive leads

Performance benchmark

Median likes
51
Median reposts
3
Median replies
6
Median views
3.7K

Posts with media make up 57.6% of this collection. Their median all-time score is 12.7, compared with 2.37 for text-only posts.

Format mix

  • Announcement 36.4% · score 12.3
  • Case Study 30.3% · score 9.77
  • Opinion 27.3% · score 2.97
  • Prediction 6.1% · score 22.9

Where creators agree, and where they do not

Shared view

Delivery workflows extend beyond code generation

Posts describe end-to-end engineering workflows that combine implementation with testing, review artifacts, and PR-oriented completion criteria. Examples include browser testing and CI-gated merging, iOS testing with a recording and test report, and a multi-agent workflow requiring review, bug-bot checks, and recordings.

Shared view

Review and security are recurring use cases

Users and company posts present Devin as a review or defensive layer: reports cite edge cases, multi-file logic issues, and, in Cognition’s account, detection of the axios supply-chain attack for some customers before it was public.

Open debate

Positive quality reports coexist with autonomy concerns

Assessments of reliability vary. One user praises Devin’s UX, another reports that it finds edge cases missed in review, while a third says the harness is not yet tenacious enough to inspire confidence that it will finish a task.

Open debate

Usage limits and token economics remain concerns

Posts express both enthusiasm and concern about usage constraints. One user praises the removal of five-hour limits, another reports hitting GPT-5.5 limits in Devin Desktop, and a satirical post depicts a small feature consuming extensive agent and token usage.

Patterns behind standout posts

The supplied engagement outliers emphasize workflows and cloud agents

The five supplied engagement outliers cover multi-agent orchestration, macOS cloud agents, security review, browser-testing delivery, and reflections on cloud-agent adoption. Their all-time scores range from 127.77 to 350.4, versus a supplied corpus median of 9.629.

Media-bearing posts had a higher supplied median score

According to the supplied analytics, 19 of 33 posts included media (57.6%). Their median all-time score was 12.671, compared with 2.37 for text-only posts.

Statistical standouts

  1. View standout post 1 Score 350.4 · 36.39× median
  2. View standout post 2 Score 216.6 · 22.5× median
  3. View standout post 3 Score 211.8 · 21.99× median
  4. View standout post 4 Score 145.0 · 15.06× median
  5. View standout post 5 Score 127.8 · 13.27× median

Who shapes this conversation

The five most represented creators account for 30.3% of the selected posts.

  1. 1. nader dabit

    @dabit3

    2 posts

  2. 2. Nicholas Charriere

    @nichochar

    2 posts

  3. 3. Ryan Carson

    @ryancarson

    2 posts

  4. 4. Scott Wu

    @ScottWu46

    2 posts

  5. 5. Vincent van der Meulen

    @vinvan

    2 posts

  6. 6. Walden

    @walden_yan

    2 posts

A creator describes a cloud-first startup workflow

Ryan Carson describes running startup work through cloud agents, Slack, Linear, browser testing, CI, and merging. He argues that a pre-built orchestration product can provide most of the value for a startup without building an in-house agent platform.

Orchestration shifts work toward delegation and review

Vincent van der Meulen describes a manager-agent pattern in which planned Linear work is dispatched to cloud subagents, with tests, review, recordings, and status updates used as completion checks. He also notes that this setup can create a review bottleneck.

How this analysis was made

Themes, sentiment, stance, and post format are classified per tweet. All counts, shares, medians, creator concentration, freshness, and performance comparisons are then calculated directly from the published snapshot.

Xholic's all-time score compares engagement while accounting for reach, post age, and creator consistency. It is used for relative comparisons within this collection.

This report analyzes the exact 33-post snapshot shown below. AI identifies editorial categories and drafts explanations; all statistics are calculated from the snapshot, and every narrative claim is checked against cited posts before publication.

Top Devin tweets from 27 creators

Ranked 01–33

  1. 01

    @vinvan ·

    fable produced 60+ (!) ready to merge prs for @mainframe overnight. here's how you can set up a software factory using fable as an orchestrator. prompt included! 1. narrate your *entire* todo list — everything that's top of mind — using dictation. i used @usemonologue and my

    • 34 Replies
    • 18 Reposts
    • 535 Likes
    • 146.8K Views
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  2. 02

    @dabit3 ·

    You can't build iOS apps without a Mac, so we gave Devin one. Devin Cloud Agents now run macOS, with Xcode, iOS simulator, and your signing setup, all in a real macOS environment (with full computer use). In this demo, Devin builds a native iOS game, then plays and tests it

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    • 91 Replies
    • 73 Reposts
    • 1.2K Likes
    • 272.2K Views
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  3. 03

    @ScottWu46 ·

    Devin Review caught the axios supply chain attack for multiple Cognition customers before the attack was publicly known. These attacks will be 10x more frequent in the age of AI; it is critical that repo maintainers start using AI for defense as well. (showing one example below

    • 92 Replies
    • 145 Reposts
    • 1.6K Likes
    • 285.9K Views
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  4. 04

    @ryancarson ·

    This is how I’m currently running my startup with @DevinAI + @openclaw The browser testing in Devin is mind-blowing. I was trying to duct tape and jerry-rig all this stuff together with Playwright + uploading videos to PRs and all sorts of stuff and Devin just does it all e2e.

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    • 60 Replies
    • 17 Reposts
    • 306 Likes
    • 27.2K Views
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  5. 05

    @vinvan ·

    some reflections from solely using cloud agents this year: 1. every engineer should default to cloud. it completely changes how you view and use agents. if you run a company, it might be worth mandating everyone starts in cloud 2. cloud agent adoption has been much slower than

    • 48 Replies
    • 17 Reposts
    • 325 Likes
    • 83.8K Views
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  6. 06

    @cognition ·

    Introducing Devin Outposts: run Devin on any machine. Your Mac mini, a GPU box in your lab, a VM inside your private network, or a Kubernetes cluster next to your internal services.

    Video thumbnail from Cognition's post Watch video
    • 23 Replies
    • 55 Reposts
    • 577 Likes
    • 158.2K Views
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  7. 07

    @ryancarson ·

    I haven't typed `npm run dev` on my local machine for three days now and it's absolute bliss. Having my agents 100% in the cloud is a massive unlock. (One of those agents is openclaw, which is technically on my mbp in my office, but the only way I interact with it is via

    • 50 Replies
    • 7 Reposts
    • 206 Likes
    • 42.1K Views
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  8. 08

    @AmOptimistShow ·

    EPISODE 147: The New Era of Software Abundance @JTLonsdale visits @ScottWu46 & @russelljkaplan at @cognition HQ 00:00 Episode intro 01:35 Why technical talent & execution matters in AI 06:10 Do young people have an edge in the AI era? 08:26 Cognition's rapid growth 11:55

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    • 8 Replies
    • 34 Reposts
    • 413 Likes
    • 825.7K Views
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  9. 09

    @dabit3 ·

    New video — Devin in 8 Minutes Everything you need to know to integrate and build with @DevinAI remote agents. From creating and automating sessions to autofixing bugs, autoreviewing PRs, and connecting with Slack. Also covers: DeepWiki, Playbooks, and the MCP Marketplace.

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    • 12 Replies
    • 14 Reposts
    • 166 Likes
    • 25.6K Views
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  10. 10

    @threepointone ·

    we've been using devin on agents/sandbox repo and it's been really good at figuring out real edge cases that I've otherwise missed in my own reviews (llm assisted or otherwise). thinking back to when it launched and everyone dumped on them really badly. congrats on the 180.

    • 14 Replies
    • 11 Reposts
    • 183 Likes
    • 11.8K Views
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  11. 11

    @kr0der ·

    no 5 hour limits is the best change ever - both Codex and Devin have it right now if i feel like blasting a lot of work one day, im not restricted by the 5 hour windows i mean it's less predictable for their infra i'm sure, but it's sooo much better as a user

    • 25 Replies
    • 6 Reposts
    • 106 Likes
    • 5K Views
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  12. 12

    @ScottWu46 ·

    Interesting stat - our enterprise customers have already done more Devin sessions (and more merged Devin PRs) in 2026 than in all of 2025. Not bad for 2-ish months into the year!

    • 19 Replies
    • 23 Reposts
    • 445 Likes
    • 267K Views
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  13. 13

    @MollySOShea ·

    BREAKING: Devin now writes ~95% of Devin's code Scott Wu (@ScottWu46), CEO of @cognition says the abundance era of AI is real & coming soon.. FULL INTERVIEW Cog Stats: › $2.5B raised, $26B valuation › $500M+ run rate, up from $37M LY › Customer usage is up 11x-12x in 6 months

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    • 9 Replies
    • 27 Reposts
    • 218 Likes
    • 380.2K Views
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  14. 14

    @mattbergland ·

    shipped my first open source project with Devin! introducing: MacMoji use slack-style emoji shortcodes and autocomplete like :fire: for emojis anywhere you type on MacOS 🔥 try it out and let me know how it goes! https://t.co/eAwu4rsTjV

    • 5 Replies
    • 2 Reposts
    • 51 Likes
    • 3.7K Views
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  15. 15

    @petergyang ·

    "If you want to build great agents, you have to let the model cook." Here’s my new episode with @imjaredz (Builder in Residence at @cognition), where he shared what he learned from watching the best engineers build with AI agents, including: → Why fewer rules make agents work

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    • 8 Replies
    • 4 Reposts
    • 71 Likes
    • 62.8K Views
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  16. 16

    @andrewdfeldman ·

    Developers deserve AI tools that don't make them wait. Cognition delivered just that. Congrats to @ScottWu46 and the entire @cognition team on the release of SWE-1.6. They both reduced bad model behaviors and dramatically increased good behaviors. Developers now stay in flow.

    • 4 Replies
    • 6 Reposts
    • 83 Likes
    • 5.2K Views
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  17. 17

    @walden_yan ·

    Cloud agents are having their takeoff moment. Across our eng team, we're on track to merge 1000+ Devin PRs in February. That is comparable to the last 3 months of 2025 combined.

    • 6 Replies
    • 7 Reposts
    • 69 Likes
    • 8.2K Views
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  18. 18

    @walden_yan ·

    I was really pleased with how Devin automatically responds on GitHub threads and backs away once you start pushing code yourself The details are what separate Devin from other cloud coding agents. Goes a long way to feel like a real team player

    • 1 Replies
    • 2 Reposts
    • 39 Likes
    • 3K Views
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  19. 19

    @peer_rich ·

    at the start of this year i made a prediction: by the end of 2026 i wont be writing code by hand im already at 80% the remaining 20% feels more like habit than necessity the way i use AI for coding now is less like autocomplete and more like delegation i describe what i want,

    • 6 Replies
    • 1 Reposts
    • 29 Likes
    • 2.1K Views
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  20. 20

    @markfenner ·

    Someone asked why I use both Hermes and Devin. Fair question. They don’t do the same job. Hermes is my daily driver. It runs the cron jobs, business ops, content workflows, study material, and all the work that needs to keep moving whether I’m at my desk or not. It’s the

    • 4 Replies
    • 0 Reposts
    • 19 Likes
    • 413 Views
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  21. 21

    @CodeByNZ ·

    👀 Someone ran a head-to-head between GPT-5.6 Sol and Fable 5 on the same reasoning task. Both models were given the identical prompt: > GPT-5.6 Sol completed everything in 70 minutes (using Devin). > Fable 5 completed everything in 90 minutes (using Claude Code). Sol was

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    • 9 Replies
    • 2 Reposts
    • 13 Likes
    • 1.3K Views
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  22. 22

    @DennisonBertram ·

    I've been trying @cognition's harness Devin lately because I'm loving the speed of SWE-1.7. That said, its not very tenacious and I'm missing a robust /goal where I have confidence it will finish the task. Otherwise, I'm trying to get used to it. I'll try Cloud next.

    • 5 Replies
    • 0 Reposts
    • 22 Likes
    • 2.1K Views
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  23. 23

    @ChaiWithJai ·

    When I use Claude Code and Codex, its like I'm working for them because of so much steering needed. Devin feels like the first coding agent that works for me. Yesterday, I set up the sandbox environment and went to the beach and it knocked out 2 important design engineering

    • 3 Replies
    • 3 Reposts
    • 11 Likes
    • 1.8K Views
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  24. 24

    @theinformation ·

    Cognition is overhauling Windsurf into Devin Desktop, a hub where developers can manage AI coding agents from OpenAI, Anthropic and others. The strategy positions Cognition as a neutral platform in a market increasingly dominated by model providers. Full story:

    • 5 Replies
    • 1 Reposts
    • 14 Likes
    • 2.7K Views
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  25. 25

    @itsandrewgao ·

    are outages/security issues becoming more common lately? (think claude leak, axios vuln) i had devin scrape the status pages of 33 major tech companies (cloudflare, twilio, github, etc) the answer seems to be yes, although not clearly attributable solely to vibecoding

    • 2 Replies
    • 0 Reposts
    • 12 Likes
    • 3.3K Views
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  26. 26

    @nichochar ·

    hadn't used devin in a minute. it's gotten really good. Harness is not the reason i think this, I believe most harnesses are fine now given how smart the models are its good because the UX is full of great little ideas, thoughtfully put together

    • 1 Replies
    • 1 Reposts
    • 1 Likes
    • 88 Views
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  27. 27

    @boyuan_chen ·

    Return on tokens is becoming a real product surface. Cognition says its typical customer saw agent usage grow 1000% in the last few months. It also announced an AI Productivity Guarantee, covering up to $10M in Devin usage if it does not deliver positive ROI. That framing is

    • 2 Replies
    • 0 Reposts
    • 0 Likes
    • 72 Views
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  28. 28

    @AlxTurovski ·

    So what's up with GPT-5.5 limits? Ran an agent in Devin Desktop (former Windsurf) and I'm done for the day. I'm doing 3x more with Opus in Claude Code. Is it the harness or are GPT limits that tight?

    • 0 Replies
    • 1 Reposts
    • 4 Likes
    • 162 Views
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  29. 29

    @icanvardar ·

    tools like greptile and devin have been surprisingly useful in github pr reviews. they pick up things i would normally miss in review, especially small logic mistakes, edge cases, and subtle issues that come from changes spread across multiple files

    • 1 Replies
    • 0 Reposts
    • 6 Likes
    • 182 Views
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  30. 30

    @ttunguz ·

    For the last decade, the biggest line item in any startup’s R&D budget was predictable talent. But AI is pushing its way onto the P&L. How much should a startup spend on AI as a percentage of its research and development spend? 10%? 30%? 60? There are three factors to

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    • 1 Replies
    • 1 Reposts
    • 8 Likes
    • 2.1K Views
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  31. 31

    @nichochar ·

    > need to build tiny feature (15 LOC) > ask Devin, gets to work > spins up a whole computer to test it with browser use, 500M tokens burned > works, submits to github > 5 other agents (codex, devin, cursor bugbot, etc...) all perform a review > for each comment, each bot polls

    • 2 Replies
    • 0 Reposts
    • 4 Likes
    • 448 Views
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  32. 32

    @rwdaigle ·

    If it's not clear from the recent slate of product announcements from Devin, Cursor, and Claude, the future of software development is: * Creating build loops * That can be run remotely and in parallel and * Automatically verified, reviewed, and summarized by agents You, the

    • 0 Replies
    • 2 Reposts
    • 1 Likes
    • 219 Views
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  33. 33

    @tristanbob ·

    It's been a few months since I last used @DevinAI Desktop (formerly Windsurf). I'm using the "Adaptive" mode because I want my credits to be used as efficiently as possible. (BTW, I'm still using the grandfathered original plan from when Windsurf first became available!) First

    • 0 Replies
    • 1 Reposts
    • 3 Likes
    • 370 Views
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