3. I've invested in learning how to use this tool in my field of expertise. Holy cow, it's transformational but will be a plague for human intent, knowledge, and creativity.

It's July 2025 and prompting is still a skill A skill I have a hard time teaching Some people just get it, but most struggle And no, LLMs are not very good at prompting themselves without another prompt to guide them

If you are tired as me of working with native path and fs libraries in NodeJS, you might like my www.npmjs.com/package/@sy... NPM package. A library to finally turn verbose JS filesystem code into elegant one-liners

Cursor has a system prompt issue. I'm using LLMs for a complex software migrations and have leveraged everything I know about prompting. While the model is the same as Claude Code, Cursor seems unable to follow the provided instructions. Cursor simply feels broken now

LLMs have helped me build dozens of libraries I've always wanted in Javascript My favorite one is www.npmjs.com/package/@sy... The concept is simple, what if you could write clean template strings in JS ? I've been using it for clean error formating, LLM messages, and more

When I'm hired to enable a team with AI tools what I'm actually paid for is asking the right questions to reverse engineer how the team works When I have that, building the tools is the easy part Also why I fear that the agents trend will do a lot of harm to craftsmanship

If you're building LLM based products, check out napkin.ai Blending pre-made templates with LLM formatting may seem like a straightforward idea but they've executed it really well with a clean UX And if you need to fill a presentation with corporate BS, just ask it to generate the text as well 😅

I've used vibe coding (AI codes without you reviewing) to build a visualizer for a graph with Cline Would never trust a core product or mission critical system coded like this People are mistaking vibe coding and vibe engineering youtube.com/shorts/1_rSr...

An upside of LLMs is that, just by using them, people will get better at providing instructions and the right context The downside is that they'll likely stay to get frustrated when you take over 1mn to respond

While illustrating the many disciplines connected to AI and LLMs I realized that I don't have a term for UX Designers / PMs focused on AI Really shows how under-explored UX for AI is I agree it's hard, but we could be doing so much more than chats

Has anyone studied the impact of image and sound on multi-modal LLMs ? Like if you're working with the LLM, does passing it classical music unrelated to the task influences its response ? What about art pieces ?

My son (5 yo) is fighting with his cousins (6 yo) about the right #Uno rules Some things don't change...

Wow, @harper.lol's workflow is incredibly efficient with gemini 2 flash thinking and its massive context I used to build custom backends to iterate on ideas step by step. Now I just need the LLM We're truly shifting from coding LLMs to engineering ones harper.blog/2025/02/16/m...

Finally! Our React Native London talk with @fab-ber.bsky.social on AI assisted migrations is available online Discover how we achieved a 9 months migration in just 4 months by combining solid engineering expertise with a custom AI workflow www.youtube.com/watch?v=sz_S...

This also means that Deepseek R1 will be a potential attack vector. Willingly put inside a state system Imagine if they trained the model to act maliciously when it figures out that it's being used inside a targeted infrastructure I wonder what it could realistically achieve

you can now secretly sign in at tldraw.com/preview

"Gemini 2 Flash Thinking" is a very impressive model I'm having discussions with it about high level and abstract concepts and it just "gets it" The 1M tokens context also means that you can have extremely long conversations with high retrieval rates and without running out of chat history

Quick PSA to every developer applying for their first job: It's time to include LLM tools in your resume (Copilot, Cursor, ...) along with any expirement you've done with them I'm currently reviewing resumes and none mention these, so it's still a good way to set your profile appart

I stopped my #devin (yes the "AI Engineer") subscription, felt too uneasy about merging those pull requests It was a fun (though way too expensive) trial It's hard to put it, but to me it's like most "AI art", the demo is impressive but it clearly lacks any intent

@vercel.com's AI SDK is amazing to work with But I don't get why I had to implement a middleware to add the last message from the prompt to the result if its role is "assistant" Should be a default behavior Anyway, if you need it it's "includeAssistantMessage" in @synstack/llm/middleware

Even though I would not be surprised to see something like this implemented, there is no way it's true But seeing how this is spreading, it shows that we're far from achieving widespread understanding of what AI really is

Finally released @synstack/synscript v2 with the #llm package migrated to @vercel.com's AI SDK 🎉 The Llm library is now a chainable, immutable, and type-safe wrapper over the ai sdk If you want to improve your prompting DevX in Typescript, look no further github.com/pAIrprogio/...

I got a nifty TS challenge for you @mattpocock.com It's for chained flat object merging and there's no reccursive generics in play Any way to prevent "Type instantiation is excessively deep and possibly infinite.(2589)" on this one ? www.typescriptlang.org/play/#code/C...

Finally tried Evalite, the TS eval library for #LLM from @mattpocock.com github.com/mattpocock/e... So far I really like it: - Advises for external libraries instead of reinventing the wheel - Pure TS as expected - Integrates into your project rather than constrain it

This doc pull request by #Devin is rotting in my backlog github.com/pAIrprogio/s... While I "kind of" agree with what Devin wrote, I trully feel uneasy about merging it What bugs me most is that the LLM is paraphrasing what I wrote manually for other packages without any clear intent

Being more on the product side I completely agree AI capabilities are far from being mastered and APIs are getting more and more complex with realtime and multi-modal models But I feel AI product integration will be going big in 2025 That is, if the model providers leave us enough breathing room

Got my first gaslighting from #Devin 🎉 It introduced a regression by overstepping its objective and removing some linter ignore comment Then claimed that the issue was pre-existing But "learned" from it I feel like that's not going to be the only occurence

2nd #Devin Pull Request merged - "Set up Github CI" - Cost 10$ - Time it took me for instructions: 2mn github.com/pAIrprogio/... Still trying to evaluate Devin's value, so let's go through this...

#Apple is really hitting a streak of tone deaf ads Between the hydraulic press crushing human creativity and this one, we're hitting new lows What prevents the manager from simply replacing this guy with AI? Guess playing suck up is the only thing left for him to do... youtu.be/3m0MoYKwVTM

Of course I've shelled out the 500$ to try out Devin Although I my own approach of AI for dev is about enablement rather than replacement, it's important to check out what the other side is doing Here's Devin's 1st PR and a few thoughts about it... github.com/pAIrprogio/...

Cursor's limiting factor for advanced use-cases is it's use of a custom templating engine Templating's great to get started but once you need workflows and introduce "if", "for", and functions, you're essentially writing a new programming language. A very limited one at that

Impressive demo for Genie 2 But if it's fully AI generated, why go for a video game rendering? It all looks like 3D assets I guess it's due to the training set. But a photorealistic AI filter over the training data could make it look real Imagine controlling a movie with mouse and keyboard...

Introducing the MCP protocol is a brilliant move from @anthopic.com It'll unlock so much UX wise thanls to facilitating agents interoperability 2025 will finally be the year of practical AI applications https://www.anthropic.com/news/model-context-protocol

I've already published 18 libraries to use LLMs efficiently in Javascript While it's still a work in progress, I think it's time to talk a bit about them The first being https://www.npmjs.com/package/@synstack/text which allows you to write ✨beautiful✨ prompts in Javascript

"Claude, create the worlds most annoying CAPTCHA" "Make it more annoying" "Make it REALLY annoying" (apparently this is all technically solvable)

So glad for the opportunity to talk with @fab-ber.bsky.social about this amazing journey of turning 10 months of work into 4 Thanks to @reactnativelondon.co.uk for hosting us and to @delphinebugner.bsky.social for this amazing sketch