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Charly Wargnier Profile picture
@DataChaz
Apr 24, 2023 • 5 tweets • 3 min read • Read on X
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The new iOS app from @runwayml featuring #Gen1 is 🔥 and now widely available!

- Turn anything into everything using your phone's camera
- Revive forgotten videos on your camera roll
- Effortlessly transfer assets to your Runway account without airdropping!

Download link ↓
Download link:
🔗 apps.apple.com/app/apple-stor… Image
Here's a live demo, courtesy of @stas_kulesh!
Here's another live demo from @Lapakko. (I'll post the original video below.)
This is the original video @Lapakko captured this the weekend in Oslo 🇳🇴

Incredible!

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More from @DataChaz

Charly Wargnier Profile picture
Dec 18
Google's MCP Toolbox for Databases is now open source 🔥

A single backend for connections, security, and schema-aware SQL tools, built for AI agents.

Compatible with Python, JS, Go, LangChain, and more.

Repo in 🧵 ↓ Image
1/
Features include:

→ Declarative tool definitions (<10 LOC)
→ Secure by default with integrated authentication
→ Auth, pooling & fast queries out of the box
→ Native observability (OpenTelemetry)
→ Postgres, MySQL, Cloud SQL & more supported Image
2/
Repo:
↳ github.com/googleapis/gen…
github.com/googleapis/gen…
Read 6 tweets
Charly Wargnier Profile picture
Dec 18
Google is quietly changing how devs work.

These 5 AI agents automate GitHub (via Gemini CLI), BigQuery, Looker, Database migrations and more, from data ingestion to PR reviews 🔥

Here’s what each agent actually does 🧵 ↓
1/ GitHub Agent (via Gemini CLI)

Bring Gemini to your terminal, and your GitHub workflow!

→ Auto triages issues & reviews PRs with contextual AI
→ Handles tasks via natural language
→ Terminal-first, open source, and script-friendly

Link:
↳ github.com/google-gemini/…Image
2/ BigQuery Data Agent

Build & manage data pipelines with AI, using plain language!

→ Ingests, transforms & validates data from Cloud Storage
→ Generates SQLx, enforces quality, and updates pipelines
→ Scales across use cases via CLI, UI, or API

cloud.google.com/blog/products/…
Read 7 tweets
Charly Wargnier Profile picture
Dec 17
Your own AI coding platform in one click.

ICYMI @Cloudflare opensourced VibeSDK, letting anyone spin up their own vibe coding environment 🤯

→ LLM code gen + fixes
→ Safe runs in CF Sandboxes
→ Infinite scale via `Workers for Platforms`
→ GitHub export

Demo + links in 🧵↓ Image
1/ Try it for yourself here:
→ build.cloudflare.devImage
2/ Check Cloudflare's announcement:
→ blog.cloudflare.com/deploy-your-ow…
Read 4 tweets
Charly Wargnier Profile picture
Nov 21
Wild.

Postman's AI Agent Builder lets you turn any API (from over 100,000!) into an MCP server in seconds, no code required 🤯

Your custom MCP server, ready to use in Cursor, Windsurf, Claude Desktop, Docker, plus a lot more! 🧵↓ Image
1/
First, start here →

You’ve got literally 100,000+ APIs to check out.

1. mix and match any endpoints you want
2. download your custom zip file
3. that’s it! postman.com/explore/mcp-ge…
Mind = blown.

That zip file has EVERYTHING:
↳ a readme with setup instructions
↳ your selected endpoints
↳ all the files to run your MCP server locally, on Cursor, Windsurf… even Docker!

You also get an .env file with your prefilled variables → just add your API keys! 🔥 Image
Read 9 tweets
Charly Wargnier Profile picture
Nov 17
MIT and Oxford just released their $2,500 agentic AI curriculum on GitHub at no cost.

15,000 people already paid for it.

Now it's on GitHub!

It covers patterns, orchestration, memory, coordination, and deployment.
A strong roadmap to production ready systems.

Repo in 🧵 ↓ Image
10 chapters:

Part 1. What agents are and how they differ from plain generative AI.
Part 2. The four agent types and when to use each.
Part 3. How tools work and how to build them.
Part 4. RAG vs agentic RAG and key patterns.
Part 5. What MCP is and why it matters.
Part 6. How agents plan with reasoning models.
Part 7. Memory systems and architecture choices.
Part 8. Multi agent coordination and scaling.
Part 9. Real world production case studies.
Part 10. Industry trends and what is coming next.
Here's the repo:
↳ github.com/aishwaryanr/aw…Image
Read 5 tweets
Charly Wargnier Profile picture
Nov 13
If you’re still sending raw JSON into your LLMs, you’re burning tokens, latency, and budget!

Try TOON (Token-Oriented Object Notation).

Clear like YAML, compact like CSV:

• 30–60% fewer tokens
• Up to 50% lower costs
• Shines for tabular data.

Free and Open source 🧵↓ Image
💡 Benchmark tip.

Check out @curiouslychase’s ace Format Tokenization Playground:
→

It lets you compare token counts for various formats:
- CSV
- JSON
- YAML
- and TOON

... all with your own sample data 🔥 curiouslychase.com/playground/for…Image
Toon GitHub repo:
github.com/toon-format/to…

github.com/toon-format/to…
Read 4 tweets

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