Amplication retweeted
Introducing Fable 5.1 in Devin
Fable-level intelligence is now 54% cheaper – making it even cheaper than Opus – due to a change in caching.
Devin’s Fusion harness is now even smarter and cheaper than before, matching Fable 5.1 on FrontierCode at 47% lower cost. Here's how:
Exciting news from Amplication!
overcut.ai
Amplication retweeted
JUST IN: Anthropic is expected to tell investors it sees over $30 trillion in potential revenue - WSJ.
Vercel Connect is now generally available.
Give your apps and agents secure access to @slackhq, @linear, @github & 100+ other services.
• Short-lived, scoped access tokens
• Token and trigger observability
• RBAC and audit trails
vercel.com/blog/the-end-of-c…
Read more: nvda.ws/4ir6Ugz
Amplication retweeted
🚀 DeepSeek-V4-Flash Official API is now LIVE in public beta!
🔷 We’ve massively upgraded its Agent capabilities—benchmark scores are now far surpassing the V4-Pro-Preview. Check out the massive performance leap below! 👇
🔷 The official V4-Flash now natively supports the Responses API format and is fully adapted for Codex!
Check out the configuration details in our official API docs: api-docs.deepseek.com/quick_…
We are committed to pushing the model frontier across cost efficiency, capability, and speed.
Starting today, we are reducing prices for GPT-5.6 Luna by 80% and GPT-5.6 Terra by 20% , and offering a faster option for GPT-5.6 Sol in the API.
Luna and Terra’s lower prices are reflected in how usage is counted in Codex and ChatGPT Work, so your usage goes further.
Vercel Passport is now generally available for Enterprise customers.
• Protect projects with your native IdP
• Use verified identities across apps
• Monitor access and create bypasses
vercel.com/changelog/vercel-…
For decades, we’ve dreamed of robots that can seamlessly step into our world and lend a hand.
Today, we take a major stride toward making that dream a reality:
Introducing Gemini Robotics 2 from @GoogleDeepMind, the intelligence layer powering the next generation of truly adaptable robots. This major advance unlocks intelligent whole-body control, advanced dexterity, and even multi-robot collaboration 🤯.
Ok but... how does a robot actually "think"?
Real-world tasks take time and planning. To manage that complexity, our new embodied reasoning model, Gemini Robotics ER 2, acts as the robot’s high-level brain, enhancing the robot’s capabilities to:
— Observe the environment
— Reason about the actions needed to complete the task
— Coordinate with the vision-language-action model to carry out actions
— Track progress until the job is done
This setup allows robots to execute complex multi-step workflows, self-correct if a step fails, and adapt to completely novel situations.
Learn more about Gemini Robotics ER 2 (and our two other brand new models) here: goo.gle/4x4E8q6
We're rolling out Custom Actions, a game-changing feature for API control.
Now available for Enterprise users:
✅ Tailor REST/GraphQL APIs
✅ Minimize codebase size
✅ Align with best practices
Keep coding without the heavy lifting! 💻
Kubernetes Enthusiasts! 🌐
Our new blog post is a must-read on how GitOps and Argo CD Image Updater can transform your deployment workflow.
Stay ahead in the cloud-native sphere with Amplication!
🚀 Exciting news for .NET devs!
Amplication's AI code generation is now available for .NET. Boost your workflows with advanced AI tech & plugins, saving you countless hours.
Amplication retweeted
🚀 See what your subagents are doing in real time, use built-in dictation across VS Code, and streamline docs with the hybrid Markdown editor.
🧵 Here's what's new in the latest @code release:

ALT Visual Studio Code release announcement graphic featuring the blue VS Code logo centered on a dark, textured background. Below the logo, large white text reads “VS Code v1.131,” with smaller text underneath that says “New release.” The design uses a minimalist, high-contrast layout with Microsoft branding colors.
What happens when a single GraphQL query has 40,000 fields, runs at millions of QPS, and exists in hundreds of versions?
Gary Zeng shares how Meta optimized GraphQL parsing with lazy fragment parsing, traffic-aware caching, and fragment inlining to keep execution fast at massive scale.
youtu.be/Ua7cbkNJZX8
#GraphQL
























