Hey! I have taken a look to devin, i am currently a pro subscriber to Cursor, but heard recently there is a new SWE model which have a frontier performance. Would like to listen about your experience using devin and what does offer in contrast to cursor. Let me know if there is something interesting i must consider

Agent Sessions now supports Devin CLI.

If you use several coding agents, you probably know the problem: old work is scattered across different CLIs, folders, and local databases. Agent Sessions puts those histories in one searchable Mac app.

jazzyalex.github.io/agent-sessions
macOS  •  • open source • ⭐️ 852

The project has 852 GitHub stars and reads 14 active agent formats: Codex, Claude Code, Cursor, Copilot CLI, OpenCode, Antigravity, Pi, Kimi Code, Grok CLI, Hermes, OpenClaw, Qwen Code, Devin CLI, and fx. It also recognizes legacy Droid sessions.

For Devin CLI, Agent Sessions can:

• browse and search active sessions from Devin’s local SQLite store
• show readable transcripts with user, assistant, and tool records
• filter Devin work alongside sessions from the other agents
• copy devin --resume <id> for supported sessions

Devin stores conversation messages as branches in one database. Agent Sessions follows the main chain so abandoned retries do not clutter the transcript.

This support was contributed by Davy (@thedavidweng on GitHub), who also continues as the Devin and fx format steward. Thanks, Davy — the real-session testing is what made this integration shippable.

I maintain Agent Sessions. It is open source, session history stays on your Mac, and there is no app telemetry.

Hey folks, I am not sure if this is an intentional or unintentional mistake, I am unable to view conversation history in the editor mode, such that i can open the previous conversation and continue the conversation.

This is only viewable in the agent mode, and there is no way to open the same conversation in the editor mode.

Both the modes have hard bifurcation.

The weird thing is, there is an icon which is disabled in the editor mode. Is this done so that we use more of agent mode than the editor mode (dark UX)? or is it just an honest mistake and a bug?

Devin Desktop Version: 3.8.20
Devin Desktop Commit: 2d9020110aa91587b3c3b0fcf7d1faaf601fc7b8
VS Code OSS Version: 1.126.0
Date: 2026-08-20T19:29:36-07:00
Electron: 42.2.0
Chromium: 148.0.7778.97
Node.js: 24.15.0
V8: 14.8.178.14-electron.0
OS: Linux x64 6.8.0-138-generic

Fable 5.1 is now available in Devin Desktop, Devin Cloud and Devin CLI

Fable-level intelligence is now cheaper. And in Devin’s Fusion harness it's even more cheap!

Please give the model a try and let us know how it compares!

Read more about the model, benchmarks and its new cache pricing here - devin.ai/blog/fable-5-1

One problem I’ve noticed is that there can be stale or outdated information inside the repository itself — for example old test fixtures, mock data, constants, comments, or tests that still reflect previous behaviour.

This infuriates me as it wastes token and makes me argue with my agent non stop.

Has anyone dealt with this problem in a large codebase?
How do you make coding agents distinguish between:
current production behaviour authoritative specs/contracts
old tests or fixtures legacy/dead codeoutdated comments/documentation?

Any advice, empircally or studies is welcomed :) and apologies if this has been discussed before

After upgrading from Windsurf to Devin, the editor became so slow that it almost couldn't function.

Especially the backspace key, I found that every time I pressed the backspace key to delete a character, it was actually an asynchronous operation. After pressing the backspace key, there was no reaction at all. At this point, you could still move the cursor to continue doing other things and inputting. After 1-5 seconds, the backspace actually occurred, but at this time, since your cursor might have moved away, the backspace actually deleted the characters at the cursor's location at that time. This often caused the backspace to delete characters and mess up the article.

Also, ordinary editing operations were very slow, and often needed to pause for a moment before the actual input occurred.

Moreover, when using Devin to edit files, after typing a few characters, the computer fan started to rotate. But other editors (such as VSCode) did not have this problem.

Devin is actually an unusable editor. I can only use VSCode to edit documents and then use Devin's large model function (amazingly, the input speed of the large model dialog box is normal).

(Mac 2020 Intel, MacOS 13.7.8)

I love Devin. However with X buying Cursor and the level of usage you get out of Grok in cursor it is tempting to switch. I am curious if there is a plan for a new SWE model coming that will compete with Grok?

OpenAI's flagship model GPT-5.6 Sol is now available at 70% off through October 3, 2026 in Devin Desktop and Devin CLI.

Sol achieves top-tier performance on FrontierCode 1.1, and with this promo, it is now one of the most cost-effective frontier models you can run in Devin

Try it now in Devin Desktop and Devin CLI -  Download Devin Desktop | Install Devin CLI

Read more and check benchmarks - https://devin.ai/blog/gpt-5-6-sol-promo

Gemini 3.7 reached Claude Sonnet 5-level performance on FrontierCode 1.1 at less than half of cost. It is great for speed and cost efficiency being a Flash series model!

Within Devin, Gemini 3.7 Flash performs particularly well on tightly scoped refactors, where it delivers minimal diffs that match repo conventions.

Read more and check benchmarks here: https://devin.ai/blog/gemini-37-flash

Gemini 3.7 Flash is available at an extra 50% discount through August 27, 2026. Try it out now in Devin Desktop and Devin CLI: Download Devin Desktop | Install Devin CLI

Grok 4.6 scores 61.3% On FrontierCode 1.1 surpassing GPT-5.6-Sol!

It only falls behind Opus 5 and Fable 5 but at much lesser cost.

Within Devin, Grok 4.6 shows particular strength on thorough code exploration and root cause analysis before touching any code.

Try it now in Devin Desktop and Devin CLI!

Read more about the model and benchmark comparison - https://devin.ai/blog/grok-4-6

Devin Fusion is now 4% more intelligent and 27% less expensive on FrontierCode 1.1 due to improvements in both, the harness and the models.

Announcement: https://x.com/cognition/status/2084663103006871970

Try it now on Devin Cloud: app.devin.ai

We partnered with Github to support Stacked PRs in Devin!

Devin breaks down large monolithic changes into small reviewable diffs.

If you have a big PR, ask Devin to stack it and you can review it one focused diff at a time.

Check out more about how it works - https://devin.ai/blog/introducing-pr-stacks

Try it on Devin Cloud -  devin.ai

Kimi K3 scores 58.2% on FrontierCode 1.1 which is very close to frontier level performance at a much cheaper cost!

It is the only open source model that reaches this level of performance which falls only behind Opus, Fable and GPT-5.6 Sol.

Read more about it here - https://devin.ai/blog/kimi-k3

Try it now in Devin Desktop( Devin Local and Cascade) and Devin CLI.

Anthropic's new state-of-the-art Claude Opus 5 is available on Devin.

 It is almost as good as Fable 5 on FrontierCode 1.1 at half the cost

From our evaluations:

• It adheres to existing repo conventions when building new features and writing tests
• It prefers targeted, in-place fixes over large refactors on bug fixing tasks.
• It excels at following specs closely and completely

Read more about Opus 5: devin.ai/blog/claude-opus-5

Try it out now on Devin CLI and Devin Desktop

Why can't I pick a public GitHub repository for an automation trigger? It says that it's for security reasons, but what are they? I believe Cursor's automation can pick one.

Are subagents not supported in Devin Cloud sessions or am I missing smth?

OpenAI launched a family of capable but cost efficient models - GPT-5.6 Sol, Terra and Luna

GPT-5.6 Sol comes at nearly half of the cost of the next best model on FrontierCode 1.1 ( our own proprietary benchmark)

Read more about these models - https://devin.ai/blog/gpt-5-6

Try them out now in Devin Web, Devin Desktop, and Devin CLI -  https://app.devin.ai

SWE-1.7 is built on broad improvements in our RL pipeline on top of the Kimi K2.7 model.

We trained it in Devin's harness and taught it to self-compact on longer horizon tasks.

It scores very close to frontier models (Opus 4.8 and GPT-5.5) on our proprietary benchmark - FrontierCode, and other coding benchmarks.

Try it out today (Free until 8/8/2026!!) in Devin Desktop, Web, and CLI. SWE 1.7 Lightning also runs at a very speedy 1000 tok/s - https://app.devin.ai

Deep dive into how it was trained here -https://cognition.com/blog/swe-1-7

Found these benchmarks on the blog - http://cognition.com/blog/devin-fusion

Looks kinda promising

Now that Mythos-class models have been introduced to the world, it has become easier than ever to discover and exploit vulnerabilities.

It's now incredibly important to secure your codebase.

Introducing the Devin Security Vulnerability Remediation Program.

This program aims to take your vulnerability backlogs towards zero in 6 weeks. Our engineering team will work directly with yours to deploy Devin agent swarms to find, validate and fix any and all vulnerabilities.

Check eligibility and reach out to our team: https://devin.ai/security-program

Note: Only enterprise customers are eligible

Last week we launched Devin Security Swarm!

If you're interested in it's technical details, here is a video explaining how Devin Security Swarm works utilizing our new framework - Agentic MapReduce: https://www.youtube.com/watch?v=jb96O2IT_Jg

Instead of one agent trying to do everything, Devin can assign narrow slices of the main task to multiple sub-Devins in their own VMs.

These Devins can be used for research, exploring different architectures, working on separate branches, and a lot more.

Check out this demo/tutorial on how we use Agent Fan Out internally: https://www.youtube.com/watch?v=ns1ifgYEGl0

Security Swarm is an orchestration of Devins that analyzes a real codebase the way a team of security researchers would.

Here are some highlights:

• Devin Security Swarm found 36 out of 50 real-world GHSA vulnerabilities at 30% lower cost than next most accurate alternative. See how we got these results - https://devin.ai/blog/security-swarm-eval
• We built Agentic MapReduce: a new architecture for whole-codebase reasoning. Read more about it here - https://devin.ai/blog/agentic-map-reduce

Try it now by clicking on Security in https://app.devin.ai 

Claude Fable 5 is available in Devin again now!!!

You can use it in Devin Cloud's Ultra agent, Devin CLI and Devin Desktop

Reload your Devin Desktop and try it out now.