Joined February 2010
- Tweets 1,878
- Following 856
- Followers 611
- Likes 470
196 Photos and videos
Jun 1
The future of agents isn't one genius model. It's fleets of small, fast specialists doing the toil — cheaply.
Mellum2 is out: 12B-2.5B MoE, Apache 2.0, open weights on HF.
Jun 1
Built on a mixture-of-experts (MoE) architecture, Mellum2 delivers high-performance inference, often twice as fast as similar-sized models, while maintaining strong quality across code generation, science, math, and reasoning benchmarks.
Try Mellum2: jb.gg/aw6bhk
105
Apr 1
My favorite part of the Codex plugin for Claude Code is rescue.
Not because everyone will use it.
Because it’s brilliant technical marketing:
don’t fight the incumbent workflow, insert yourself at the moment of failure.
That’s a much smarter wedge than asking people to switch tools entirely.
Mar 30
Starting today you can use Codex in Claude Code 👀
/plugin marketplace add openai/codex-plugin-cc
Try it out today with:
/codex:review for a normal read-only Codex review
/codex:adversarial-review for a steerable challenge review
/codex:rescue to let codex rescue your code
Enjoy Codex-ing!
108
Mar 31
Food for thought from this HBR piece (hbr.org/2026/02/ai-doesnt-re…): AI doesn’t always reduce work – it can intensify it. In my experience, that’s often exactly what happens.
Faster drafts, summaries, and debugging don’t automatically create slack. They often just raise expectations for speed, volume, and responsiveness instead.
And what is your experience?
40
For agentic systems founders and dev tools founders:
People do not want to pay for raw markdown and they shouldn't have to.
But they may pay for orchestration, hosting, updates, collaboration, portability, analytics, and managed execution.
These can be great businesses.
286
142
2,498
175,448
Mar 20
The current AI coding paradox:
Agents increase throughput only when tasks are scoped tightly enough to run unattended.
But if tasks are scoped that tightly, humans often become the bottleneck again.
Because up to the point you described all the details, another task you're running in parallel is likely to be finished and in need of review. *thinking_dino*
47
Mar 14
Vertical integration looks great on strategy slides. Real teams are messy. Mixed (AI) tools, legacy systems, fragmented workflows. That’s why openness often beats owning the whole stack.
1
61
Mar 14
That’s why I think AI vendors should invest more in open interfaces:
MCP for tools
A2A for agents
ACP for IDEs/editors
Interoperability is a product feature.
38
Mar 13
Frosted glass effect is an absolute delight
I am using a custom theme inspired by the legendary @catppuccintheme Pleasure to my eyes ☕
Mar 13
Customize Air with a wide range of accent colors and frosted glass effect.
2
133
Mar 12
An AI agent is not a product because it can act.
It becomes a product when a human can predict, inspect, and trust its actions.
The industry is converging on this: the real product is the harness around autonomy.
#agentorchestration #aiagent #agenticai
5
2
76
Mar 12
Even VS Code’s agent UX points in this direction: the value is not just that the agent can act, but that humans can review changes, inspect the session, and decide what gets applied.
That’s the harness around autonomy.
code.visualstudio.com/docs/c…
1
1
63
Mar 12
@getsome_air is also looking in this direction with the Agentic review, a feature that reviews the changes an agent has made and leaves comments which you then can send to other agents sessions to address. Pro tip: set a different model for review than you use for code generation 😉
2
59
Mar 10
Half of AI product management isn't picking the best model. It's deciding what should never touch one – and what needs a much smaller one or even non-AI.
1
1
84
Mar 10
Frontier models are for ambiguity, reasoning, generation. Everything else is an engineering choice you're paying for with latency and trust.
Even high-hype features like AI code review could be done using smaller models.
2
1
47
Mar 10
The PM skill isn't knowing AI. It's knowing which AI – and when "no AI" is the right call.
The most important trade-off is rarely intelligence. It's frequency × latency × cost × trust.
1
39
Mar 9
AI’s next phase is not about better prompts. It’s about better operating models.
I use Air as a PM to orchestrate agent workflows across research, synthesis, and execution. The value is not just productivity, it’s visibility, parallelism, and staying hands-on while agents work.
Mar 9
Writing code isn't the hard part. Creating a productive workflow is.
Air offers parallel, isolated execution, full-project review, and support for Codex, Claude Agent, Gemini CLI, and Junie – all in one place.
Building with agents?
Download Air for free: jb.gg/z7n7vj
1
2
211
Feb 10
Some say 2026 will be the year of agent orchestration 😉
Feb 10
New Air update is live:
- Resume Codex tasks and continue where you left off
- Choose Codex thinking level for better control
- Word-level diff highlighting shows exactly what changed
Learn more and download Air at air.dev/changelog
1
79
4 Dec 2025
I was lucky to have early access, and I can say that it is now my daily tool for managing AI agentic (Claude code in particular) tasks, I use it both to bootstrap new pet projects and to maintain some older repos, I combine local tasks with the ones running in a git tree, run preview, review, and commit/push changes there. Please try, share feedback. Folks did a truly great job on this one #air #jetbrains
4 Dec 2025
Take a deep breath of fresh Air!
Air is an Agentic Development Environment that lets you delegate coding tasks to AI agents with full oversight.
Define your task, run agents in parallel, switch between them, review the results, and commit.
Try it now: jb.gg/vqeyjn
3
160
24 Aug 2025
I'm speaking at #OSSummit Europe, 27 August in Amsterdam! Join my session "User Research in Open-source Projects" - learn how OSS projects can understand users without dedicated UX teams. Plus: free research toolkit! 🧵 sched.co/25Vxb
5
208
1 May 2025
Prepare your fine-tunes! 🚀 Exciting move making Mellum open-source on @huggingface. Big kudos to the team behind this. Maybe a dedicated writing-focused model next? 🤔✨ #OpenSource #HuggingFace #AI #Mellum
30 Apr 2025
🤗 Mellum is now open source on @huggingface!
It’s a focal model that is small, efficient, and made for one thing: code completion.
⚙️ Trained from scratch by JetBrains.
🌱 First in a growing family of dev-focused LLMs.
🔗 jb.gg/Mellum_XOS
1
196