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fhd2 | 19 days ago
Previously, I'd have an idea, sit on it for a while. In most cases, conclude it's not a good idea worth investing in. If I decided to invest, I'd think of a proper strategy to approach it.
With agentic development, I have an idea, waste a few hours chasing it, then switch to other work, often abandoning the thing entirely.
I still need to figure out how to deal with that, for now I just time box these sessions.
But I feel I'm trading thinking time for execution time, and understanding time for testing time. I'm not yet convinced I like those tradeoffs.
Edit: Just a clarification: I currently work in two modes, depending on the project. In some, I use agentic development. In most, I still do it "old school". That's what makes the side effects I'm noticing so surprising. Agentic development pulls me down rabbit holes and makes me loose the plot and focus. Traditional development doesn't, its side effects apparently keep me focused and in control.
energy123|19 days ago
Now I sit on an idea for a long time, writing documentation/specs/requirements because I know that the code generation side of things is automated and effortlessly follows from exhaustive requirements.
sisnxb|19 days ago
The size of the chunk varies heavily on what I’m doing ofc.
jcims|19 days ago
How much of this is because you don't trust the result?
I've found this same pattern in myself, and I think the lack of faith that the output is worth asking others to believe in is why it's a throwaway for me. Just yesterday someone mentioned a project underway in a meeting that I had ostensibly solved six months ago, but I didn't even demo it because I didn't have any real confidence in it.
I do find that's changing for myself. I actually did demo something last week that I 'orchestrated into existence' with these tools. In part because the goal of the demo was to share a vision of a target state rather than the product itself. But also because I'm much more confident in the output. In part because the tools are better, but also because I've started to take a more active role in understanding how it works.
Even if the LLMs come to a standstill in their ability to generate code, I think the practice of software development with them will continue to mature to a point where many (including myself) will start to have more confidence in the products.
rvz|19 days ago
More importantly, As the problem becomes more complex, it then matters more if you know where the AI falls short.
Case study: Security researchers were having a great time finding vulnerabilities and security holes in Openclaw.
The Openclaw creators had a very limited background in security even when the AI entirely built Openclaw and the authors had to collaborate with the security experts to secure the whole project.
yason|19 days ago
That describes the majority of cases actually worth working on as a programmer in the traditional sense of the word. You build something to begin to discover the correct requirements and to picture the real problem domain in question.
lelanthran|19 days ago
My experience with LLMs is that they will call any idea a good idea, one feasible enough to pursue!
Their training to be a people-pleaser overrides almost everything else.
croisillon|19 days ago
darkwater|19 days ago
> With agentic development, I have an idea, waste a few hours chasing it,
What's the difference between these 2 periods? Weren't you wasting time when sitting on it and thinking about your idea?
latexr|19 days ago
When you jump straight into execution because it’s easy to do so, you lose the distinction.
shakna|19 days ago
yieldcrv|19 days ago
before, I would narrow things down to only the most potentially economically viable, and laugh at ideas guys that were married to the one single idea in their life as if it was their only chance, seemingly not realizing they were competing with people that get multiple ideas a day
back to the aforementioned epiphany, it reminds me of the world of Star Trek where everything was developed for its curiosity and utility instead of money
unknown|19 days ago
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