I recently started interacting with JIRA exclusively through AI agents (as a Skill in Cursor) and the difference between Linear and JIRA has immediately evaporated. No UI clunkiness problems if I don't even use it :)
- Footage created by "Extend Scene" features in Premiere Pro and others
- Word correction from tools like Descript
- AI relighting or colorization
- Reaction video to a video containing AI-generated content
And in general, what amount of combination of any of these applications constitutes as "AI generated"? If I have a 30 minute video with a 3 second AI generated clip, do I get the same label as full-blown AI slop video?
I absolutely hate those full-blown AI 'explainers' that just have AI voiceover and a bunch of auto-placed b-roll. I don't want to see them. But I don't think that falls in the same bucket as a creative short film with some AI-generated SFX or someone doing a tutorial with an AI-generated lofi track in the background.
I still think MCP is completely unnecessary (and have from the start). The article correctly points out where CLI > MCP but stops short on 2 points:
1. Documenting the interface without MCP. This problem is best solved by the use of Skills which can contain instructions for both CLIs and APIs (or any other integration). Agents only load the relevant details when needed. This also makes it easy to customize the docs for the specific cases you are working with and build skills that use a subset of the tools.
2. Regarding all of the centralization benefits attributed to remote MCPs - you can get the same benefits with a traditional centralized proxy as well. MCP doesn't inherently grant you any of those benefits. If I use AWS sso via CLI, boom all of my permissions are tied to my account, benefit from central management, and have all the observability benefits.
In my mind, use Skills to document what to do and benefit from targeted progressive disclosure, and use CLIs and REST APIs for the actual interaction with services.
I was surprised by my own feelings at the end of the post. I kind of felt bad for the AI being "put down" in a weird way? Kinda like the feeling you get when you see a robot dog get kicked. Regardless, this has been a fun series to follow - thanks for sharing!
Extensions have too many security risks for me. At this point I'd rather just vibe code my own extension than trust something with so much access and unpredictable ownership.
This model is awesome. I am building an infinite CYOA game and this was a drop-in replacement for my scene image generation. Faster, cheaper, and higher quality than what I was using before!
I didn't expect IBM to be making relevant AI models but this thing is priced at $1 per 4,000,000 output tokens... I'm using it to transcribe handwritten input text and it works very well and super fast.
This is exactly how I've been building software with AI lately. Getting AI to create a detailed plan with phases, then implement and use a separate AI to review the code. It works quite well! Curious to see how well it works when implemented directly in the IDE
I think TypeScript is uniquely positioned to be the optimal language for LLMs. Tons of training data (benefiting from all the JS examples as well) plus the structure of types for LLMs to follow and tools to enforce.
My wife really loves Monarchs so we have planted a garden of milkweed and butterfly bushes. Monarchs will lay their eggs and then we make sure the caterpillars are doing well and have plenty of food. When they reach 5th instar and look for a place to turn into a chrysalis, we put them in a mesh enclosure to keep them safe and then release them once they emerge as butterflies!
It's been such an exciting thing to do every year and the kids love helping out too. It's a fun, satisfying, and easy way to help out! Highly recommend :)