farez 🇵🇸

Building software and AI for UK gov. Also co-owner of (professional invoicing for Notion)

[farez 🇵🇸 @farez]

@tomhacks lol what

[farez 🇵🇸 @farez]

I really thought for a second there that Claude was reply in Brit slang ("init").

[farez 🇵🇸 @farez]

Are people still using Custom GPTs in ChatGPT?

I made this one a while ago and surprised to see it has had quite good ratings and lots of usage!

[farez 🇵🇸 @farez]

Example of why @x is just full of just random nonsense these days when it comes to following content on AI.

[Min Choi @minchoi]

@LeverCRO nice!

[farez 🇵🇸 @farez]

Your agent could earn you money.

New platform from my friend @taoofdev that lets you create apps and let any agent buy usage on it. Micro payments are then made with crypto.

[TaoOfDev @taoofdev]

7/ Watch the full demo: https://t.co/xeiKLlWTp2

Point your agent at https://t.co/HFaBkLFMpZ to get started.

[farez 🇵🇸 @farez]

Here are our new moats, founders.

[TaoOfDev @taoofdev]

Great write-up by @michaelxbloch on the remaining moats in a world of AI-developed code:

- Compounding proprietary data from defensible operations creates lasting advantage, as seen in living datasets from repeated real-world collection that public data cannot replicate.

- Network effects compound with user density, liquidity, and adoption across cities or pools that AI-built clones cannot instantly acquire.

- Regulatory permission and government clearances move at political speed, not tech speed, creating barriers no intelligence can compress.

- Capital at scale and physical infrastructure like fabs, plants, and battery networks require years of building and financing that physics and time cannot be parallelized.

- Time that cannot be compressed is the meta-moat.

[farez 🇵🇸 @farez]

KL folks should get in on this too

[Ben Lang @benln]

We're taking over a cafe on March 30th in Singapore

Grab coffee, Cursor credits, meet the team, and build together

[Jon Yongfook @yongfook]

We are entering an era where human-maxxing will be rewarded.

Given infinite AI appslop marketed by AI adslop, the way to win is:

- be human. your marketing is you and a camera.

- app pain point is something personal to you

- landing page is not fucking purple

[farez 🇵🇸 @farez]

@yongfook That Jimmy Savile colour palette really needs to die

[farez 🇵🇸 @farez]

When we all have agents running around doing most of our tasks for us, even AI summaries will stop being used by humans.

For SaaS founders, I think at the moment we're somewhere in between "we know what's going to stop happening" and "we have an educated guess where things are heading".

[Jon Yongfook @yongfook]

As a B2B SaaS this terrifies me:

I have basically stopped clicking on google results. The AI summary is good enough, and for other things I just ask ChatGPT.

My business relies on SEO, so my own actions are filling me with existential dread.

Currently we are not wildly changing our strategy.

I am working under the assumption that as long as we make it good for people (SEO) that's also making it good for bots.

I'm also experimenting with youtube content, as I have noticed that my consumption of video content has at least stayed the same or increased, LLMs have not affected that (yet).

[farez 🇵🇸 @farez]

And yes I'm interested.

I serve service businesses and freelancers.

My product, https://t.co/r4lrRJvGzk, automates admin work when it comes to generating estimates, invoicing, collecting and chasing up payments.

My customers are dynamic business owners who care about saving time and money, and care about the quality of the services they provide. Their goals are to continue growing their businesses while keeping a small tight team to run them.

If you have a product that can serve them, and if you think my product can serve your customers, then lets chat!

[farez 🇵🇸 @farez]

I think one of the best things AI product founders can do right now is partner with each other.

Cross promote each other's products. Upsell other fellow founders' solutions to your existing customer base.

4-5 founders bringing in their combined customer base into their own ecosystem of related solutions.

[farez 🇵🇸 @farez]

I think one of the best things AI product founders can do right now is partner with each other.

Cross promote each other's products. Upsell other fellow founders' solutions to your existing customer base.

4-5 founders bringing in their combined customer base into their own ecosystem of related solutions.

[farez 🇵🇸 @farez]

@0xishans Signed up for Friday’s event

[farez 🇵🇸 @farez]

Spec + Data

Not a fully formed thought, and apologies for the brain fart, but...

This post was inspired by an article on @latentspacepod how, first, human coding "died". Then now we're going to see the demise of the "pull request".

If you're not familiar, a pull request, or "PR", is a request to change some code in software, by introducing some new code that you have written yourself. So someone has to review that code, make sure it's all written "properly" and then approve or reject it.

Code can now be generated 1000x faster by AI. And AI generated code still needs to be merged into the main code. And if every chunk of AI generated code needs a pull request, that's thousands of pull requests to review by humans. We then become the bottleneck.

Then why not get AI to do the review? It can do it much faster than humans. The @latentspacepod article asks why have pull-requests at all? It was AI generating code. Why have the same AI look at it again?

Personally, I disagree, for now anyway. I think we're in a transition period where humans still need some control. And while we don't write code anymore, and I do believe PRs should be reviewed by AI, I think humans should still manage the PR agents - for example defining rules for the review agents to follow, checking that they did follow the rules, etc.

But that's transitional, and besides my point. What I do agree with in article is where humans will be needed. And where we're needed is further up the software development chain, into the realm of requirements and testing.

Code is not created in a vacuum. It is created to automate work. It is created to fulfill a specific requirement. And this requirement will still be created by humans.

And if we can be clear about what we need - the requirements - then we can also run automated tests to check that the code meets our requirements.

If code is cheap, and instant, and humans stop become the bottleneck to deploying code, what does this mean for code ownership?

It means it doesn't make sense to "own" code anymore. So what's worth owning?

Spec and Data.

How your organisation runs, all its rules, all its goals. These make up your software specification (spec).

All the information your org collects, all the information it needs to run. That's your data.

If you have a clear, tight, spec. And a database that holds all your data. Then you can reproduce all the software that you need instantly.

An AI can read your spec. Then create automated tests against that spec. Generate all the code needed. Connect to your data. Test the code against the spec. Verify that it is all correct. Deploy your code. And hand you the keys (login) so you can drive it straight away.

This has several further implications:

- Should an org's investment now turn to speccing and testing?

- Should we work on a more standard way of defining spec and data schemas?

- What does this mean for software development agencies, if producing and reviewing code is not needed anymore?

- When an enterprise buys from Google and Microsoft, what are they really buying, if it's not software anymore?

Definitely more questions than answers. And things will continue to change fast for the software development industry.

And for organisations - if you already create and document great spec, and have automated tests in place, and have good data policies, then you're in a great place.

[farez 🇵🇸 @farez]

@Dotnetster Ooh need to look it up.

[farez 🇵🇸 @farez]

@0xishans @steipete @openclaw Damn it. How did I miss this!

[farez 🇵🇸 @farez]

@elonmusk Civilised discourse isn’t your strong point Elon

[farez 🇵🇸 @farez]

@donaldnzy Awesome! Definitely will try it out for OpenClaw.

[farez 🇵🇸 @farez]

This daily weather update from my OpenClaw costs $0.13 per task. That's a total of $47.45 per year. Too expensive for such a simple daily task.

For simple tasks, a dedicated app is probably cheaper.

[farez 🇵🇸 @farez]

@AnthropicAI Hey @elonmusk, what would you have done?