Unless you don't review every generated line manually, and instead rely on, let's say, UI e2e testing, or perhaps unit testing (that the agents also wrote). I don't know, perhaps we are past the phase of "double check what agents write" and are now in the phase of "ship it. if it breaks, let agents fix it, no manual debugging needed!" ?
How I'm Productive with Claude Code
41–50 of 192 posts
Re: How I'm Productive with Claude Code
#42> The worktree system removed the friction of context-switching - juggling multiple streams of work without them colliding. I'm so conflicted about this. On the one hand I love the buzz of feeling so productive and working on many different threads. On the other hand my brain gets so fried, and I think this is a big contributor.
I prefer focusing mostly on 1 task at a time (sometimes 2 for a short time, or asking other agent some questions simultaneously) and doing the task in chunks so it doesn't take much time until you have something to review. Then I review it, maybe ask for some refactoring and let it continue to the next step (maybe let it continue a bit before finishing review if feeling confident about the code). It's easier to review smaller self-contained chunks and easier to refer to code and tell AI what needs changing because of fewer amount of relevant lines.
Re: How I'm Productive with Claude Code
#43Honest question: if you're using multiple agents, it's usually to produce not a dozen lines of code. It's to produce a big enough feature spanning multiple files, modules and entry points, with tests and all. So far so good. But once that feature is written by the agents... wouldn't you review it? Like reading line by line what's going on and detecting if something is off? And wouldn't that part, the manual reviewing…
Re: How I'm Productive with Claude Code
#44Honest question: if you're using multiple agents, it's usually to produce not a dozen lines of code. It's to produce a big enough feature spanning multiple files, modules and entry points, with tests and all. So far so good. But once that feature is written by the agents... wouldn't you review it? Like reading line by line what's going on and detecting if something is off? And wouldn't that part, the manual reviewing…
This is the biggest bottleneck for me. What's worse is that LLMs have a bad habit of being very verbose and rewriting things that don't need to be touched, so the surface area for change is much larger.
I'm sure these larger models are both faster and more cogent, but its also clear what matter is managing it's side tracks and cutting them short. Then I started seeing the deeper problematic pattern.
Agents arn't there to increase the multifactor of production; their real purpose is to shorten context to manageable levels. In effect, they're basically try to reduce the odds of longer context poisoning.
So, if we boil down the probabilty of any given token triggering the wrong subcontext, it's clear that the greater the context, the greater the odds of a poison substitution.
Then that's really the problematic issue every model is going to contend with because there's zero reality in which a single model is good enough. So now you're onto agents, breaking a problem into more manageable subcontext and trying to put that back into the larger context gracefully, etc.
Then that fails, because there's zero consistent determinism, so you end up at the harness, trying to herd the cats. This is all before you realize that these businesses can't just keep throwing GPUs at everything, because the problem isn't computing bound, it's contextual/DAG the same way a brain is limited.
We all got intelligence and use several orders of magnitude less energy, doing mostly the same thing.
Re: How I'm Productive with Claude Code
#45> The PR descriptions are more thorough than what I’d write Why do people do this? Why do they outsource something that is meant to have been written by a human, so that another human can actually understand what that first human wanted to do, so why do people outsource that to AI? It just doesn't make sense.
We have “Cursor Bot” enabled at work. It reviews our PRs (in addition to a human review)
One thing it does is add a PR summary to the PR description. It’s kind of helpful since it outlines a clear list of what changed in code. But it would be very lacking if it was the full PR description. It doesn’t include anything about _why_ the changes were made, what else was tried, what is coming next, etc.
Re: How I'm Productive with Claude Code
#46Honest question: if you're using multiple agents, it's usually to produce not a dozen lines of code. It's to produce a big enough feature spanning multiple files, modules and entry points, with tests and all. So far so good. But once that feature is written by the agents... wouldn't you review it? Like reading line by line what's going on and detecting if something is off? And wouldn't that part, the manual reviewing…
Re: How I'm Productive with Claude Code
#47This is the "lines of code per week" metric from the 90s, repackaged. "I'm doing more PRs" is not evidence that AI is working, it's evidence that you are merging more. Whether thats good depends entirely on what you are merging. I use AI every day too. But treating throughput of code going to production as a success metric, without any mention of quality, bugs, or maintenance burden is exactly the kind of thinking de…
Re: How I'm Productive with Claude Code
#48Re: How I'm Productive with Claude Code
#49This is the "lines of code per week" metric from the 90s, repackaged. "I'm doing more PRs" is not evidence that AI is working, it's evidence that you are merging more. Whether thats good depends entirely on what you are merging. I use AI every day too. But treating throughput of code going to production as a success metric, without any mention of quality, bugs, or maintenance burden is exactly the kind of thinking de…
Maybe author knows that too, but wants to talk about it nonetheless. First line of article: “Commits are a terrible metric for output, but they're the most visible signal I have.”
Re: How I'm Productive with Claude Code
#50This is the "lines of code per week" metric from the 90s, repackaged. "I'm doing more PRs" is not evidence that AI is working, it's evidence that you are merging more. Whether thats good depends entirely on what you are merging. I use AI every day too. But treating throughput of code going to production as a success metric, without any mention of quality, bugs, or maintenance burden is exactly the kind of thinking de…
COCOMO, which considers lines of code, is generally accepted as being accurate (enough) at estimating the value of a software system, at least as far as how courts (in the US) are concerned.