30 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
24
Updated

What 30 top Devin posts reveal

The conversation presents Devin as a cloud-oriented engineering agent used for PR workflows, browser testing, review, and multi-agent orchestration. User accounts are positive overall, but individual posts also identify environment setup, review throughput, token consumption, usage limits, and confidence in task completion as practical considerations.

Dominant tone
Positive

70% of posts

Median score
12.3

All-time engagement

Leading format
Case Study

36.7% of posts

Recent posts
53.3%

Published in 90 days

Conversation map

The themes creators return to

Adoption, productivity, and ROI

User reports and company metrics on shipped work, merged PR volume, engineering output, cloud-agent adoption, pricing, usage limits, and return on token spend.

36.7%

Autonomous delivery and PR workflows

Agents implementing features, testing, opening or merging pull requests, responding to GitHub discussions, and producing review artifacts.

26.7%

Tone and stance

Sentiment Positive leads
Author posture Supportive leads

Performance benchmark

Median likes
77
Median reposts
6
Median replies
7
Median views
6.7K

Posts with media make up 56.7% of this collection. Their median all-time score is 23.3, compared with 2.97 for text-only posts.

Format mix

  • Case Study 36.7% · score 12.7
  • Announcement 33.3% · score 26.1
  • Opinion 16.7% · score 4.64
  • Prediction 10% · score 12.0

Where creators agree, and where they do not

Shared view

Cloud workflows support long-running engineering processes

Posts describe cloud-based workflows that connect agents with tools such as Linear, Slack, browser testing, and CI. One user describes automated merging after tests and CI pass; another describes an orchestrated workflow that produced more than 60 ready-to-merge PRs over 12+ hours.

Shared view

Review and testing are recurring use cases

Posts report Devin identifying edge cases in review, catching an axios supply-chain attack for Cognition customers, and generating a screen recording and test report in a macOS/iOS demo. These are user, company, and product-demo reports rather than independent evaluations.

Shared view

Delegation and review feature prominently in accounts of agent-assisted development

Several posts describe a workflow in which people specify work, agents implement or coordinate it, and humans review results. One post explicitly frames its workflow as delegation rather than autocomplete, while another describes Devin agents starting other Devin sessions.

Open debate

Autonomy versus confidence in task completion

One user describes Devin as unusually self-directed after completing two design-engineering tasks overnight, while another says the SWE-1.7 harness is not sufficiently tenacious to inspire confidence that it will finish a task.

Open debate

Cloud-workflow value versus operational friction

One user calls cloud-based work through Slack and Linear a “massive unlock” and reports increased shipped work, while another says cloud-agent adoption has been slower than expected and that setting up and managing cloud environments remains difficult.

Open debate

Automation throughput versus token and usage efficiency

One post describes a 15-line feature taking two hours and an estimated 1 billion tokens across testing and review loops, while another reports hitting GPT-5.5 limits in Devin Desktop and getting more work done with Opus in Claude Code.

Patterns behind standout posts

Media posts had a higher median score than text-only posts

Deterministic analytics identify 17 media posts (56.7% of the 30-post set). Their median all-time score was 23.292, compared with 2.97 for text-only posts. Two high-scoring media-associated examples covered macOS cloud agents and Devin Review’s reported supply-chain detection.

The highest-scoring post documented a cloud orchestration playbook

The highest-scoring post, at 346.74, described a cloud “software factory” workflow. Its author reported 60+ ready-to-merge PRs, 12+ hours of operation without blocking, and review capacity becoming the bottleneck.

Security-review and macOS-support announcements were among the largest outliers

The post reporting Devin Review’s detection of the axios supply-chain attack scored 211.77, and the macOS cloud-agent announcement scored 216.64. Both were among the five all-time-score outliers identified in the deterministic analytics.

Statistical standouts

  1. View standout post 1 Score 346.7 · 28.12× median
  2. View standout post 2 Score 216.6 · 17.57× median
  3. View standout post 3 Score 211.8 · 17.18× median
  4. View standout post 4 Score 164.7 · 13.36× median
  5. View standout post 5 Score 145.0 · 11.76× median

Who shapes this conversation

The five most represented creators account for 33.3% 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

Repeat contribution was concentrated among a small set of accounts

The dataset contains 24 creators, and deterministic analytics attribute 33.3% of top-five placements to the top five. Vincent van der Meulen, Ryan Carson, Scott Wu, and Nader Dabit each contributed two included posts covering workflows, adoption, review, or releases.

Specific workflow accounts supplied detailed usage evidence

Posts with concrete operational detail describe browser testing and PR merging, GitHub-thread behavior, and cloud-based work through Slack and Linear. These accounts are more specific than general product-positioning posts, though they remain individual reports.

Since the previous snapshot

What changed since Aug 12, 2026

  • 96.7% of the selected posts remained.
  • The creator count changed by -4.
  • The leading sentiment remained stable.
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 30-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 24 creators

Ranked 01–30

  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
    • 147.2K 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

    Video thumbnail from nader dabit's post Watch video
    • 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

    @adarsh_exe ·

    Traditional coding benchmarks do not reflect how software is actually built and maintained. That's why we built a new benchmark, APEX-SWE, in partnership with @cognition. It measures whether AI models can perform complex, real-world software engineering work to ship systems that

    Video thumbnail from adarsh's post Watch video
    • 123 Replies
    • 147 Reposts
    • 849 Likes
    • 189K Views
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  5. 05

    @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.

    Video thumbnail from Ryan Carson's post Watch video
    • 60 Replies
    • 17 Reposts
    • 306 Likes
    • 27.2K Views
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  6. 06

    @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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  7. 07

    @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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  8. 08

    @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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  9. 09

    @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

    Video thumbnail from American Optimist's post Watch video
    • 8 Replies
    • 34 Reposts
    • 413 Likes
    • 825.7K Views
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  10. 10

    @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.

    Video thumbnail from nader dabit's post Watch video
    • 12 Replies
    • 14 Reposts
    • 166 Likes
    • 25.6K Views
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  11. 11

    @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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  12. 12

    @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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  13. 13

    @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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  14. 14

    @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

    Video thumbnail from Molly O’Shea's post Watch video
    • 9 Replies
    • 27 Reposts
    • 218 Likes
    • 380.2K Views
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  15. 15

    @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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  16. 16

    @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

    Video thumbnail from Peter Yang's post Watch video
    • 8 Replies
    • 4 Reposts
    • 71 Likes
    • 62.8K Views
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  17. 17

    @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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  18. 18

    @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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  19. 19

    @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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  20. 20

    @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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  21. 21

    @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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  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

    @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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  26. 26

    @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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  27. 27

    @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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  28. 28

    @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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  29. 29

    @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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  30. 30

    @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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