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Gives you automatically typed error codes for multiple features at once.
Gives you automatically typed error codes for multiple features at once.
All the hard stuff like stream resuming, generative UI, properly streaming markdown, editable plans, showing LLM progress
All the hard stuff like stream resuming, generative UI, properly streaming markdown, editable plans, showing LLM progress
Use it to rename an object key your backend developers consistently misspell
parms -> params
Use it to rename an object key your backend developers consistently misspell
parms -> params
Does the opposite of Readonly<T>. Weird that TS doesn't have this built-in.
Does the opposite of Readonly<T>. Weird that TS doesn't have this built-in.
It's just unbelievably cool, can't wait to show you.
It's just unbelievably cool, can't wait to show you.
1. You can use 'glob' from Node instead of a library! (still experimental, available in 22+)
But glob returns an async iterator, which can be annoying to work with. So...
2. Array.fromAsync lets you turn an async iterator into an array. Beautiful.
1. You can use 'glob' from Node instead of a library! (still experimental, available in 22+)
But glob returns an async iterator, which can be annoying to work with. So...
2. Array.fromAsync lets you turn an async iterator into an array. Beautiful.
I've built a roadmap on how to become an AI Engineer.
We cover:
- What AI engineers are
- What LLM's are used for
- Evals
- A directory of 17 techniques
It's the perfect way to get ahead of the curve.
www.aihero.dev/ai-engineer-...
I've built a roadmap on how to become an AI Engineer.
We cover:
- What AI engineers are
- What LLM's are used for
- Evals
- A directory of 17 techniques
It's the perfect way to get ahead of the curve.
www.aihero.dev/ai-engineer-...
Covering everything you need to enter the AI world:
- What LLM's are used for
- The AI engineer mindset
- Evals
- 17 techniques for improving your LLM-powered apps
Covering everything you need to enter the AI world:
- What LLM's are used for
- The AI engineer mindset
- Evals
- 17 techniques for improving your LLM-powered apps
Just keep pressing 'space' to learn how an LLM works
Just keep pressing 'space' to learn how an LLM works
I have written a book, produced 5 courses, made countless videos and articles, and delivered workshops about TypeScript.
And today I learned that TS can do this:
I have written a book, produced 5 courses, made countless videos and articles, and delivered workshops about TypeScript.
And today I learned that TS can do this:
I've shipped a 9-lesson tutorial on the Model Context Protocol - the USB-C of AI.
It'll take you from "WTF is MCP" to shipping your own servers to the world.
And, it's free. Check it out:
www.aihero.dev/model-contex...
I've shipped a 9-lesson tutorial on the Model Context Protocol - the USB-C of AI.
It'll take you from "WTF is MCP" to shipping your own servers to the world.
And, it's free. Check it out:
www.aihero.dev/model-contex...
Claude Code is fine. Cursor is OK. I want to branch out.
Claude Code is fine. Cursor is OK. I want to branch out.
It's the biggest TS announcement I can remember.
www.totaltypescript.com/typescript-a...
It's the biggest TS announcement I can remember.
www.totaltypescript.com/typescript-a...
No build step. No bullshit. Totally transformative.
No build step. No bullshit. Totally transformative.
The system prompt is the LLM's UI. In an agentic loop, elements of the system prompt have state, as well as props - lists of failed attempts, external data, exemplars.
So, a React for system prompts makes sense.
The system prompt is the LLM's UI. In an agentic loop, elements of the system prompt have state, as well as props - lists of failed attempts, external data, exemplars.
So, a React for system prompts makes sense.
So, as a research project, I refactored the code to make the underlying logic clearer.
So, as a research project, I refactored the code to make the underlying logic clearer.
node-deepresearch would genuinely benefit so much from it. Endless string interpolation, impossible to grok what's going on.
A proper component model for system prompts would be pretty convenient.
node-deepresearch would genuinely benefit so much from it. Endless string interpolation, impossible to grok what's going on.
A proper component model for system prompts would be pretty convenient.
Do you e2e the entire system?
Do you do any mocking?
Do you eval individual parts of the system? (query rewriter, etc)
Do you e2e the entire system?
Do you do any mocking?
Do you eval individual parts of the system? (query rewriter, etc)