Nature advocate striving to halt biodiversity loss & tackle climate change 🌿.
Experienced Head of Engineering and technical founder in the NatureTech space.
Thoughts on Engineering at gidi.io.
שלום عَلَيْكُمْ ✌️
May we have less to reflect on next year.
May we have less to reflect on next year.
If that's the case, I worry engineers are going to lose their problem solving skills very quickly.
If that's the case, I worry engineers are going to lose their problem solving skills very quickly.
But yeah, bad generalisation.
But yeah, bad generalisation.
Though they might be a bias on my end.
Though they might be a bias on my end.
My first time spotting them out in the wild.
My first time spotting them out in the wild.
That is to say, they don't, it's just abstracted away.
As a result, you still have migrations, and they are often harder.
I always start with postgres unless I *know* it makes the wrong tradeoffs for my domain
That is to say, they don't, it's just abstracted away.
As a result, you still have migrations, and they are often harder.
I always start with postgres unless I *know* it makes the wrong tradeoffs for my domain
I already have a half dozen in this category. 😅
I already have a half dozen in this category. 😅
Its unfortunate, because I actually find LLMs pretty good at generating the green implementation for my red failing TDD tests. 🤷
But most engineers don't TDD so it's just generating noise
Its unfortunate, because I actually find LLMs pretty good at generating the green implementation for my red failing TDD tests. 🤷
But most engineers don't TDD so it's just generating noise
The tests are wrong. 🙄
I haven't implemented the code yet. 🤨
The tests are wrong. 🙄
I haven't implemented the code yet. 🤨
To better gauge hype versus reality, its a visualization showing the distance between the proportion of respondents who want to use a technology (“🔵desired”) and the proportion of users that have used the same technology in the past year and want to continue using it (“🔴admired”).
To better gauge hype versus reality, its a visualization showing the distance between the proportion of respondents who want to use a technology (“🔵desired”) and the proportion of users that have used the same technology in the past year and want to continue using it (“🔴admired”).
I don't want to further reduce the pool of jobs for new grads - but folks should only expect to see a return if they're willing to invest.
I don't want to further reduce the pool of jobs for new grads - but folks should only expect to see a return if they're willing to invest.
1. They're probably midway through a fundraise and the CEO is pushing because he sold investors a story about them being an AI company
2. I should go back and ensure my ancient coinbase account is full wiped because they are definitely going to have an infosec incident
1. They're probably midway through a fundraise and the CEO is pushing because he sold investors a story about them being an AI company
2. I should go back and ensure my ancient coinbase account is full wiped because they are definitely going to have an infosec incident
Our concern was whether it's *actually* doing what stakeholders thought it was doing (surprise, surprise, it wasn't) and whether we can fix that without breaking a bunch along the way (it's a complex domain and the code was terrible).
Our concern was whether it's *actually* doing what stakeholders thought it was doing (surprise, surprise, it wasn't) and whether we can fix that without breaking a bunch along the way (it's a complex domain and the code was terrible).
Its changed how I think about working with legacy code. A silver lining on the otherwise shitstorm that are LLMs. 😅
Its changed how I think about working with legacy code. A silver lining on the otherwise shitstorm that are LLMs. 😅
Its still legacy. It's still shit. But at least we can refactor with a *semblance* of confidence we haven't broken anything.
Its still legacy. It's still shit. But at least we can refactor with a *semblance* of confidence we haven't broken anything.