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Joined February 2013
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The biggest challenge with AI coding tools isn't generating code—it's the overhead of managing agents, fixing broken builds, and constantly switching contexts.
That’s why building a "software factory" for engineering teams is the logical next step. Automating the coordination layer transforms isolated AI tasks into a seamless, shipping workflow.
SuperPlane automating 52% of its merged PRs last month is a clear indicator that the future isn't just about smarter agents—it's about the systems that support them. 👀
🤝 Paid partnership
Last month, 52% of the pull requests our team merged were automated through SuperPlane.
Today, we’re launching @superplanehq 1.0: an open source software factory for engineering teams.
We built it because using a coding agent can feel like becoming its assistant.
Starting sessions. Checking its work. Chasing failing CI.
SuperPlane takes on that coordination:
- Scans your backlog and proactively picks up tickets suited to automation.
- Runs a coding agent and verifies the result.
Works through CI failures and review feedback.
- Your team reviews the evidence and decides what ships.
The setup, instructions, and standards are shared across the team. When someone improves the process, everyone benefits.
Choose your agents and models. Run it on your own infrastructure.
We spent more than a decade building CI/CD at Semaphore. We’ve seen how much teams can accomplish when routine work runs reliably in the background.
Now we’re bringing that approach to coding agents.
Here’s how it works:
Valf0r X retweeted
Attackers got AI first, defenders are catching up. One detail in CodeRabbit Secure I like: after you fix something, a rescan tells you whether it held.
🤝 Paid partnership
Valf0r X retweeted
Everyone keeps asking which AI coding agent is the best. But I think that’s the wrong question.
Writing code is the easy part. The real bottleneck is everything around it: choosing the right task, running the agent, fixing CI failures, and verifying the results. Humans are still responsible for coordinating that entire process.
That’s where the concept of a software factory comes in. It sits between the backlog and the AI agents, orchestrating the workflow and turning individual coding tasks into a streamlined development process.
And the best part? You can run it on your own infrastructure, maintaining control over your environment and workflow.
The future isn’t just about building better coding agents. It’s about building systems that coordinate them effectively and consistently deliver working software.
@superplanehq
Last month, 52% of the pull requests our team merged were automated through SuperPlane.
Today, we’re launching @superplanehq 1.0: an open source software factory for engineering teams.
We built it because using a coding agent can feel like becoming its assistant.
Starting sessions. Checking its work. Chasing failing CI.
SuperPlane takes on that coordination:
- Scans your backlog and proactively picks up tickets suited to automation.
- Runs a coding agent and verifies the result.
Works through CI failures and review feedback.
- Your team reviews the evidence and decides what ships.
The setup, instructions, and standards are shared across the team. When someone improves the process, everyone benefits.
Choose your agents and models. Run it on your own infrastructure.
We spent more than a decade building CI/CD at Semaphore. We’ve seen how much teams can accomplish when routine work runs reliably in the background.
Now we’re bringing that approach to coding agents.
Here’s how it works:
Valf0r X retweeted
New in CodeRabbit Secure:
Deep Scan now follows a vulnerability across your linked repos, then replays the exploit in a throwaway sandbox to prove it's real before it flags anything.
Hendrik walks through this and everything else in the new update:
Attackers got AI first, defenders are catching up. One detail in CodeRabbit Secure I like: after you fix something, a rescan tells you whether it held.
🤝 Paid partnership
Valf0r X retweeted
Last month, 52% of the pull requests our team merged were automated through SuperPlane.
Today, we’re launching @superplanehq 1.0: an open source software factory for engineering teams.
We built it because using a coding agent can feel like becoming its assistant.
Starting sessions. Checking its work. Chasing failing CI.
SuperPlane takes on that coordination:
- Scans your backlog and proactively picks up tickets suited to automation.
- Runs a coding agent and verifies the result.
Works through CI failures and review feedback.
- Your team reviews the evidence and decides what ships.
The setup, instructions, and standards are shared across the team. When someone improves the process, everyone benefits.
Choose your agents and models. Run it on your own infrastructure.
We spent more than a decade building CI/CD at Semaphore. We’ve seen how much teams can accomplish when routine work runs reliably in the background.
Now we’re bringing that approach to coding agents.
Here’s how it works:
Valf0r X retweeted
đźš™ I tested the same desert-chase prompt across Seedance 2.0, Seedance 2.5, and Kling 4.0.
An armored truck, rough terrain, flying pursuers, and a narrow canyon—plenty to keep each model busy.
Here’s what I’m comparing:
Does the truck feel heavy when it hits the bumps?
🎥 Can the camera follow the chase without losing the action?
Do the dust, impacts, and vehicle movements feel connected? đź’¨
The canyon section is where I’d replay all three.
Which model handles the chaos most convincingly? đź‘€
🤝 Paid partnership
đźš™ I tested the same desert-chase prompt across Seedance 2.0, Seedance 2.5, and Kling 4.0.
An armored truck, rough terrain, flying pursuers, and a narrow canyon—plenty to keep each model busy.
Here’s what I’m comparing:
Does the truck feel heavy when it hits the bumps?
🎥 Can the camera follow the chase without losing the action?
Do the dust, impacts, and vehicle movements feel connected? đź’¨
The canyon section is where I’d replay all three.
Which model handles the chaos most convincingly? đź‘€
🤝 Paid partnership
Valf0r X retweeted
The real power of AI is making creative iteration faster without losing the original vision.
@trydrama_io is a great example of how AI can give creators more control over performance, emotion, and storytelling, all without reshooting a scene.
Less friction. More creative freedom. Better results. 🎬
The future of filmmaking isn't just about generating content. It's about refining what already exists.
🤝 Paid partnership
Introducing our new AI model @trydrama_io to kill reshoots and make acting editable!
Control what part of a performance to preserve and what part to change using a simple intensity slider.
We just nailed 3 industries(thread):
Valf0r X retweeted
Como me sentĂ luego de lograr comprar cualquier cosa con Oobit:
🎉 THIS IS HUGE: Muse, Grok, Dots and Instinct can now spend stablecoins.
AI is moving from answering questions to doing things for us. To do that, it needs a way to pay.
But giving an AI your card or access to your money is probably the wrong model.
So we built something different.
You approve every payment. @oobit creates a new one-time card for each transaction. The AI gets what it needs to complete the purchase, and nothing more.
And this shouldn’t only work for people with the right bank card in the right country. Each card can be funded with stablecoins, crypto or local money, across 75+ countries.
We think AI will become a meaningful participant in the global economy.
Today, in partnership with @raincards we’re giving it a way to pay.
🔗 Learn more oobit.com/ai-payments
Valf0r X retweeted
Feels like someone cracked Seedance 2.5 1080p and slashed the price by 2/3.
Topview T1 is sitting at $0.22/s with identical quality.
Big move by @TopviewAIhq 🔥
🤝 Paid partnership
Introducing Topview T1 🎬
Topview’s newest AI video model. Built to rival Seedance 2.5 1080P quality at 62% lower cost.
More shots. More iterations. A much smaller bill.
Plus, Ultra Annual users get 30 days of unlimited T1 generation.
Put T1 to the test, now on Topview.
#TopviewAI #TopviewT1 #AIVideo #AIContentCreation #AIFilmmaking
Feels like someone cracked Seedance 2.5 1080p and slashed the price by 2/3.
Topview T1 is sitting at $0.22/s with identical quality.
Big move by @TopviewAIhq 🔥
🤝 Paid partnership
Introducing Topview T1 🎬
Topview’s newest AI video model. Built to rival Seedance 2.5 1080P quality at 62% lower cost.
More shots. More iterations. A much smaller bill.
Plus, Ultra Annual users get 30 days of unlimited T1 generation.
Put T1 to the test, now on Topview.
#TopviewAI #TopviewT1 #AIVideo #AIContentCreation #AIFilmmaking
Valf0r X retweeted
The combination of strong performance and inference efficiency is what stands out here.
More capable AI is even more useful when you can run it efficiently. 🚀
🤝 Paid partnership
Aloha!🌺 Meet Ornith-1.5-122B: No Tradeoff Between Strong and Fast
Stronger. Faster. Leaner. Ornith-1.5-122B delivers frontier-level capabilities with exceptional inference efficiency. With superior instruction following, stronger task decomposition, and deeper understanding of real-world workflows, it achieves state-of-the-art performance among open-source models of comparable size, while running on a single NVIDIA DGX card!!
Open weights under the MIT license.
Coding
âś…SWE-bench Verified: 0.845
âś…TB2.1: 0.813
âś…CyberGym: 0.800
âś…NL2Repo: 0.512
Agentic
âś…HLE: 0.446
âś…BrowseComp: 0.785
âś…MCP-Atlas: 0.746
âś…Toolathlon: 0.708
🤗Hugging Face: huggingface.co/ornith-ai/Orn…
We can’t wait to see what you build with Ornith-1.5-122B.
Valf0r X retweeted
If you're building open-source AI in Europe, this week matters.
Nebius kicks off its European expansion at GTC Berlin with NVIDIA and Accel.
Compute to build, founder funding to grow, and hackathons with AI Tinkerers and {Tech: Europe} to build with others.
From first project to scale-up.
Without leaving Europe.
🤝 Paid partnership
The AI Builder Program is expanding across Europe with $10M in total support across compute grants, capital, and community programs.
Are you building open models, developer tools, or applications on top of them? The program helps builders go from experimentation to scale-up through:
- Compute grants for selected projects in areas such as open models, coding agents, post-training, and evals
- VC connections to help turn open source projects into companies
- Hackathons and demo days with communities including @AITinkerers, @techeurope_ , and @esra_robotics to build, connect, and share your work
We’re kicking off the European expansion this week at #NVIDIAGTC Berlin with @NVIDIAAI, @Accel, and a network of European VCs.
Building AI in Europe? Details below. 👇
The combination of strong performance and inference efficiency is what stands out here.
More capable AI is even more useful when you can run it efficiently. 🚀
🤝 Paid partnership
Aloha!🌺 Meet Ornith-1.5-122B: No Tradeoff Between Strong and Fast
Stronger. Faster. Leaner. Ornith-1.5-122B delivers frontier-level capabilities with exceptional inference efficiency. With superior instruction following, stronger task decomposition, and deeper understanding of real-world workflows, it achieves state-of-the-art performance among open-source models of comparable size, while running on a single NVIDIA DGX card!!
Open weights under the MIT license.
Coding
âś…SWE-bench Verified: 0.845
âś…TB2.1: 0.813
âś…CyberGym: 0.800
âś…NL2Repo: 0.512
Agentic
âś…HLE: 0.446
âś…BrowseComp: 0.785
âś…MCP-Atlas: 0.746
âś…Toolathlon: 0.708
🤗Hugging Face: huggingface.co/ornith-ai/Orn…
We can’t wait to see what you build with Ornith-1.5-122B.
If you're building open-source AI in Europe, this week matters.
Nebius kicks off its European expansion at GTC Berlin with NVIDIA and Accel.
Compute to build, founder funding to grow, and hackathons with AI Tinkerers and {Tech: Europe} to build with others.
From first project to scale-up.
Without leaving Europe.
🤝 Paid partnership
The AI Builder Program is expanding across Europe with $10M in total support across compute grants, capital, and community programs.
Are you building open models, developer tools, or applications on top of them? The program helps builders go from experimentation to scale-up through:
- Compute grants for selected projects in areas such as open models, coding agents, post-training, and evals
- VC connections to help turn open source projects into companies
- Hackathons and demo days with communities including @AITinkerers, @techeurope_ , and @esra_robotics to build, connect, and share your work
We’re kicking off the European expansion this week at #NVIDIAGTC Berlin with @NVIDIAAI, @Accel, and a network of European VCs.
Building AI in Europe? Details below. 👇
Valf0r X retweeted
In this new agent economy we’re building, risk coverage has to be a core part of the system—not just a generic, one-size-fits-all policy. It needs to actually understand your agent so you don’t overpay for coverage you don’t need, or stay exposed to the real risks it’s taking.
The team is cooking.
AI needs clear liability.
Today, @harborai_ comes out of stealth with a $10M seed round led by @Base10Partners, @AbstractVC and @8vc.
@elechi_v0, Cristian, Luis and I started @harborai_ with one mission: to insure the agentic economy.
Rather than pacing the frontier, we believe the solution lies in pushing this frontier with real skin in the game.
Valf0r X retweeted
what $300K gets you in 2026:
→ a nice apartment deposit in sf
→ a few months of frontier tokens for an ai startup
→ or an open-source model that does the work of bankers, consultants and lawyers
paper instruments picked option 3
🤝 Paid partnership
Valf0r X retweeted
An agent visited your site" tells you nothing
this shows where it went, where it got stuck, and lets you ship the fix in one click
that's what turns agent traffic into conversions
🤝 Paid partnership
We just solved attribution for AI Agents.
Introducing Journeys.
AI agents are visiting your product. Now you can see what they’re trying to do, what converts, and what’s making them churn.
With Journeys, you can:
- See the moment AI agents visit your product
- Follow the paths they take
- Track purchases, installs, and completed setup
- Pinpoint where agents get stuck and whats blocking them
- Review fixes prepared for you and publish them with a click
- Watch how those changes improve conversion
Turn agent traffic into revenue.
Try Journeys at tryscope.com
An agent visited your site" tells you nothing
this shows where it went, where it got stuck, and lets you ship the fix in one click
that's what turns agent traffic into conversions
🤝 Paid partnership
We just solved attribution for AI Agents.
Introducing Journeys.
AI agents are visiting your product. Now you can see what they’re trying to do, what converts, and what’s making them churn.
With Journeys, you can:
- See the moment AI agents visit your product
- Follow the paths they take
- Track purchases, installs, and completed setup
- Pinpoint where agents get stuck and whats blocking them
- Review fixes prepared for you and publish them with a click
- Watch how those changes improve conversion
Turn agent traffic into revenue.
Try Journeys at tryscope.com