
assembled by @FactoryAI
curl -L app.factory.ai/cli |sh
Joined December 2025
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Make software that improves itself.
👉 factory.com
Nothing beats hearing this from a long-time @FactoryAI user. 🫡
can you share this benchmark methodology?
i've been using @droid as my harness since mid 2025, try everything out there, opencode, omp, amp, etc etc, but nothing else has being better on my experiences
even tho, I'm always open to new tools, and you get me in this Command Code showcase with v4.1 flash thats currently my workhorse alongside opus 5.5.
i would like to include droid in this comparisson versus command code harness
How Blackstone is building their own software factory with @FactoryAI: Read the full story below 👇
Replying to @FactoryAI
After trialing several offerings, Factory was able to meet the comprehensive large scale enterprise requirements of Blackstone: deployment flexibility with no limit on model choice or engineering workflows.
If you had to guess, how agent-ready is your codebase?
Well, you don't need to guess anymore. Test your Agent Readiness with @FactoryAI.
Use Factory @droid agent readiness tool and you’ll get this and much more
The entire game was built code-only with @FactoryAI. 🎮
Check out the original post for the live demo link & prompt:
What do you plan to do after delegating all your work to @FactoryAI?
See what Delegations can already do for you: xitter.cf/FactoryAI/status/21111…
Any Droid builders in London? 🇬🇧
I was this last days at London, and suddenly at Piccadilly I saw @droid @FactoryAI Wow!
Congratulations!
Droid retweeted
Replying to @SamJWasserman
Did a sanity test in @apolloaiapp and planning to serve this via with @droid harness.
Run DeepSeek V4.1 Flash 1017 on 2x DGX Sparks ✨
- 1M total KV pool, 512K context
- 75 tok/s on prose, single stream
- 130 tok/s on prose, 4 concurrent streams
- Prefill 2000-2175 tok/s
- EXL3-EAQv1, 2.9 bpw
The quant in this recipe got about the same calibration as my GLM 5.3 Flash, with some extras. Feedback would be appreciated!
Special thanks to @bertholomusai and all the contributors for the engine work, and to @ashxhart for TensorFold.
Get it here:
github.com/MiaAI-Lab/DeepSee…
Droid retweeted
Built in @droid with Argon!
Polishing that @Google Map BillBoard graphic display that @FactoryAI’s @samwilhoit_ created for the epic Billboard demo 🔥
@bot driving screen caps
Droid doing @droid things
Replying to @samwilhoit_
to understand the placement of the panels in 3d space for the more complex multi-panel layouts, I created a custom 3d visualizer tool to map the billboard video panels onto 3d buildings in google maps. this was a game changer compared to trying to digest 2d spec sheets for each location and adapt each panel design.
I fed the billboard spec sheets containing the exact panel sizes, placement, locations etc into @FactoryAI and enabled Google Maps 3d tiles API, and the coding agents were able to place the artwork onto the buildings in the exact configuration and adapt each creative to spec.
What is your model mix? Do you optimize for cost, speed, performance, or something else?
Day 16 on the @droid Max plan ($200)
Wanted to know if GLM 5.3 Flash and Nemotron 3.5 Super are actually worth using in Droid, since they're both super cheap in the picker (0.06x and 0.08x). So I benchmarked them.
23 Python tasks from @VulcanBench, 3 runs each, and hidden tests decide if a task counts as solved. Ran DeepSeek V4.1 Flash and GPT-6.1 Sol next to them so I had something to compare against. 690 runs total and my laptop lowkey almost died doing it 😅
Sol is on top at 87%, but it costs 26k to 46k credits a task.
The surprise was GLM 5.3 Flash on low. 80.6% solved at about 5.7k credits a task. That's half of what DeepSeek low costs and about a fifth of Sol low. Easily the best value in Droid right now.
DeepSeek V4.1 Flash on high is still the sweet spot if you care about getting it right. 86.8% for about 14k credits, so almost Sol level for around half the price, and it's fast too.
Nemotron 3.5 Super was the disappointing one. Same score as GLM on high but almost 3x the credits. Honestly couldn't find a job where it wins.
So this is how I'm splitting it now. GLM 5.3 Flash low for exploration, mechanical edits and anything high volume. DeepSeek V4.1 Flash high as my default coding worker. Sol only for the hard stuff where getting it right matters more than credits. GLM max barely helped (82.3% for almost 3x the credits of low) so I'm skipping it.
It's one Python suite, so take it with a grain of salt.
Droid retweeted
Crazy how @droid subscribers have more acess to "Gemini 4 Argon" than Gemini Pro subscribers.
Also 50% Off on it..
Check out this demo from @adityavg13👇
Using Gemini 4 Argon (Medium) in @droid, I wanted to start to share demos from my program, emath, that I'm working on
#1 Structures & Worlds
How @FactoryAI's billboard wizard @samwilhoit_ previews complex multi-panel billboards in 3D before shipping them live 🪄
Replying to @samwilhoit_
to understand the placement of the panels in 3d space for the more complex multi-panel layouts, I created a custom 3d visualizer tool to map the billboard video panels onto 3d buildings in google maps. this was a game changer compared to trying to digest 2d spec sheets for each location and adapt each panel design.
I fed the billboard spec sheets containing the exact panel sizes, placement, locations etc into @FactoryAI and enabled Google Maps 3d tiles API, and the coding agents were able to place the artwork onto the buildings in the exact configuration and adapt each creative to spec.
Time to update your model config!
should I change my validator agent’s model to Gemini 4 Argon?
it’s 50% off in @droid👀
What's your current model mix in Droid?
Day 4 with @droid : I have been loving the experience so far except for the network errors maybe cause of the termux ig! It was a good experience ngl and I have found that haiku 5.5 is cheaper as implementer at 0.04x than glm 5.3 flash at 0.06x. I am now testing which is the best model for Validator and Orchestrator!
My current setup rn is
Orchestrator - Opus 5.5 (med) 1.6x
Implementer - Haiku 5.5 (max) 0.04x
Validator - Sonnet 5.5 (max)
I'll keep you guys updated!
Meanwhile try my music app, if you encounter issues lmk! Made for music enthusiasts and approved by music lovers!
GitHub.com/NatuneGroup/Archi…
Thank you for the nice words!
I have been using @FactoryAI 's @droid for 2 weeks now.
Deep dive into the mission mode for one week.
I gotta say this is absolutely the best harness out there.
My agent is able to build and run a complete product with only starting prompt.
I don't need any steering the process
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