Building @cognition past @Waymo, @GoogleAI
Joined October 2016
- Tweets284
- Following438
- Followers1.6K
- Likes1.2K
Jeffrey Ling retweeted
Devin Fusion has claimed a top score of 68 on the @ArtificialAnlys Coding Agent Index with an Opus 5.5 lead and GPT-6 Luna sidekick.
Devin Fusion outperforms Claude Code with Opus 5.5 on both performance and price – earning a score of 68 at a 31% lower cost per task.
Jeffrey Ling retweeted
What if your AI budget went to the engineers who use it best?
Blanket usage caps are a hiring freeze in disguise.
Introducing efficiency-based auto-approvals for your most productive engineers, plus Devin Coach to help everyone get there.
devin.ai/blog/efficiency-bas…
Jeffrey Ling retweeted
Nobody at Rox writes evals anymore.
Devin now QAs our agent every week, on real traffic.
It reads real conversations with our agent, rebuilds each failure in a full copy of Rox, and turns it into an eval. We just review the PR.
The eval suite already covers 72% of real usage happening in the product, vs. 43–57% for the evals we used to write by hand.
And it’s growing week over week with Devin.
Built with @cognition and @braintrust:
Jeffrey Ling retweeted
Engineers are realizing they don’t need to lose as much sleep while on call anymore.
Correspondingly, usage even while in private beta has been explosive
My favorite moment from using Devin Oncall internally: it solved an incident by itself while Andrew was afk
Jeffrey Ling retweeted
GPT Astra 6 is incredible at computer use, especially testing iOS / MacOS apps in Devin. But our friends have pointed out it’s very expensive.
Now you can directly draw from your ChatGPT subscription to save money. Have fun!
Jeffrey Ling retweeted
As intelligence becomes less of a bottleneck, the real challenge is making a business outcome well specified so that it can be automatically hill climbed.
At Hone, that means turning production traces into replayable multi-turn evals, building high fidelity simulations of messy real world environments, and getting systems to robustly learn from their own experience.
We’re a team of Thiel Fellows, Jane Street quants, published researchers, and early engineers from Cognition, Mercor, Decagon, and Ramp.
If you want to work on AI that owns real outcomes at real companies, send me a DM or check out our careers page below.
hone.com/careers/
Today Hone launches Engines: AI that owns business outcomes.
Chatbots give answers. Agents do tasks. Engines deliver outcomes, and we hold them responsible for creating real value, measured in actual dollars instead of tokens or vibes.
You point it at a business metric, and the Engine figures out the rest. It onboards itself, builds the necessary agents, skills, and memories, collaborates with the right people, and gets better with experience.
From AI leaders to global enterprises, our customers have already used Engines to:
• Uncover millions in procurement savings
• Optimize product funnels
• Manage credit risk
• Increase qualified pipeline in new territories
• Accelerate implementations and improve account management
To scale this impact across the economy, we’ve raised a $60M seed led by Benchmark and Index with participation from Elad Gil, Hanabi, Definition, Diffusion, Lux, SV Angel, and Align.
AI’s raw capabilities are far ahead of the value it creates in the real world, and Engines will help close the gap.
Here’s how they work…
Jeffrey Ling retweeted
Today Hone launches Engines: AI that owns business outcomes.
Chatbots give answers. Agents do tasks. Engines deliver outcomes, and we hold them responsible for creating real value, measured in actual dollars instead of tokens or vibes.
You point it at a business metric, and the Engine figures out the rest. It onboards itself, builds the necessary agents, skills, and memories, collaborates with the right people, and gets better with experience.
From AI leaders to global enterprises, our customers have already used Engines to:
• Uncover millions in procurement savings
• Optimize product funnels
• Manage credit risk
• Increase qualified pipeline in new territories
• Accelerate implementations and improve account management
To scale this impact across the economy, we’ve raised a $60M seed led by Benchmark and Index with participation from Elad Gil, Hanabi, Definition, Diffusion, Lux, SV Angel, and Align.
AI’s raw capabilities are far ahead of the value it creates in the real world, and Engines will help close the gap.
Here’s how they work…
Jeffrey Ling retweeted
A git repo completely operated by the agent is much more powerful than a single file on your local machine. It handles merge conflicts, observability and scales to much more information.
Every cloud agent should have this primitive and that's why we've open sourced the spec. It's lightweight and straightforward to incorporate in any harness!
Introducing Dreaming: Across sessions, Devin builds a memory graph of how you like to work
At night Devin self-improves its memory to remove stale records and discover latent information
We are creating an OSS standard called Agent Memory Repo: cognition.com/agent-memory-r…
Jeffrey Ling retweeted
We're also open-sourcing our memory format:
- support graph relationships
- updates over time with historical records
- backed by git and markdown
and you can use it with any agent, not just Devin!
Introducing Dreaming: Across sessions, Devin builds a memory graph of how you like to work
At night Devin self-improves its memory to remove stale records and discover latent information
We are creating an OSS standard called Agent Memory Repo: cognition.com/agent-memory-r…
Jeffrey Ling retweeted
Introducing Dreaming: Across sessions, Devin builds a memory graph of how you like to work
At night Devin self-improves its memory to remove stale records and discover latent information
We are creating an OSS standard called Agent Memory Repo: cognition.com/agent-memory-r…
Jeffrey Ling retweeted
Took a little less than 3 years but can finally say we did zero to one.
All credit goes to the incredible people I get to work with. Never would I have imagined getting to work with such a world-class team on such a history-defining technology.
Cognition has crossed $1B in annualized revenue run rate.
This milestone belongs to our customers. Here's how a few of them are building with Devin.
Jeffrey Ling retweeted
Demand for SWE-2 in Desktop & CLI is unprecedented. Glad to announce, we were able to secure additional compute.
We're making SWE-2 free in Devin Cloud for Pro, Max & Teams subscribers - until October 8. Enjoy!
We're going beyond single agents to Devin swarms.
Shout out to @dkrajews123 @ido_pesok for the ship!
Jeffrey Ling retweeted
GPT-6 Astra helps @cognition’s Devin back up “it works” with tests before the team ships.
Jeffrey Ling retweeted
think I unlocked godmode in @DevinAI…
the best part? it barely touches usage
here's why Fusion is one of my favorite AI updates of the last week after testing:
→ after 5 hrs of using Fable 5.1 High across four repos as lead agent and SWE-2 medium as sidekick… I'm only at 15% of my weekly Devin Max quota lol
→ comparing it to my Max plans on every other AI platform… this setup stretches my plan the furthest after hundreds of tests (for me)
→ on the Artificial Analysis coding agent index, Fable 5.1 + SWE-2 in Fusion scored 61.7 at $7.90 a run… while Fable 5.1 solo in Claude Code scored 62.2 at $12.36
→ with Astra it's 39% cheaper but 2.7 points lower… Astra + SWE-2 in Fusion scored 58.9 at $4.54 a run vs 61.6 at $7.47 for Astra solo in Codex
→ setup wise: if you wanna get started, install Devin CLI or the desktop app, select Fusion, pick Fable 5.1 (high) as lead and SWE-2 (medium) as sidekick with fast off (you can steal my exact setup)
with Fable, that's less than a point difference on the index, yet 36% cheaper per run.
lowkey Cognition cooked here bros.
Jeffrey Ling retweeted
Devin is the first cloud agent with macOS, Windows, and Linux .
Nobody else has it because it’s really fckin hard to do. 🥲
We rebuilt storage, networking, VNC, and CUA from scratch - in Rust!
Super proud to be working alongside the great minds of @cognition and @dioxuslabs