“sir they’ve paid $100 for the Apple Developer account”
“good. wait 2 days to confirm their account then reject the app 10 times over the next 20 days. if they make it through take a 30% cut of the revenue and pay them out 2 months later. ban them if they try using Stripe”
Anthropic is donating the Model Context Protocol to the Agentic AI Foundation, a directed fund under the Linux Foundation.
In one year, MCP has become a foundational protocol for agentic AI. Joining AAIF ensures MCP remains open and community-driven. https://t.co/718OwwyFJL
Prompt engineering is the surface. Context engineering is where the real magic of reliable AI begins.
The real breakthrough happened before the LLM ever saw a single token.
At @Wix, our agentic assistant was drowning in raw context with irrelevant data.
The result? Slow responses, high costs, and unpredictable accuracy.
Then comes that moment in every AI project when you finally understand how much engineering is hidden inside the context layer, and that’s when everything starts to click.
With a few key changes, the system transformed:
⚡ 46% faster responses
💰 23× cheaper to run
🎯 Far more accurate decisions
In this post, @idandagan1 shares the four context-engineering practices that made the biggest impact while we were building our agentic assistant:
https://t.co/qSBKsMfs3E
Following up on our last post and double clicking on how to build reliable job queue integrations with n8n.
We hope you like these deep dive posts covering a topic in depth with examples.
#n8n#AIAgents#webhooks
https://t.co/HEXKnmeRED
Take a deep dive into error handling for production ready n8n workflows.
We've also included some simulator tools to help understand this better.
#n8n#security#errorhandling
https://t.co/UzvTjpcN1g
Read about the new format in town "TOON" and how it is different from YAML. We've also added a converter and token counter tool at the end.
#toon#yaml#json
https://t.co/SQsNuR6VLk
Just launched a new opengraph preview tool.
Test how your website links appear across FB, X, LinkedIn, slack and WhatsApp. Validate metadata, fix image sizing issues, catch truncation, and optimize social sharing cards before publishing
Try it out now: https://t.co/eOSoBI2Zqt
Improved require(esm) interop in @rolldown_rs.
Since the last beta, the bundler supports the special `as "module.exports"` keyword and aligns with the @nodejs behavior.
Another step towards better interoperability between CJS and ESM, now with bundler support!
Curious for more? Check out the Node.js PR and our implementation.
* https://t.co/alrgKRYLip
* https://t.co/mlzHWQkEMl
real prompt i used today:
```
Can you write out another Markdown document called `Implementation Guide`? This is similar to the document you wrote, but it's more of a guide for a junior developer to reimplement the PR from scratch. I want you to give an abbreviated version of
the background and then walk through various milestones, ideally with some verifiable behavior at each step. Each milestone has to be verifiable in some way, whether it's tests or visible behavior. Write it as a tutorial, specifying what changes to
make and how to test them. Walk through all the milestones, and feel free to extend your plan beyond where this PR got to. The goal is like a guide for a junior dev that will get them to a working version at the end.
go in depth! ultrathink
```
Starting today, we’re making it easier for everyone to verify if an image was created or edited with Google AI with SynthID, our digital watermarking technology, right in @GeminiApp.