Zoaib Khan @zoaibdev
🅰️ Senior Angular Engineer | Teacher | Builder Building https://t.co/fULXu3EzsD 🎨 My templates: https://t.co/qEdYR8ztjq zoaibkhan.com Karachi, Pakistan Joined August 2020-
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@Armandotrue See that's what I said about converging best practices. I'm learning more about eslint - never really gave it much thought before 😂
@Armandotrue Aah yes, that's the right way to do it. I've been moving most of my rules to eslint as well. It's a great way to give the agents self verification - they can refactor before you even know it
@Armandotrue yeah, mine is more a judgement call. Personally I don't feel like splitting it up for the sake of it. Do you find agents following your rule as you want it?
@Armandotrue That's very similar to the create verification skill by poteto. A lot of ideas are converging re agentic coding
@Armandotrue yeah I can understand. So hard to settle on a process with all the model changes every few weeks 😂
@Armandotrue I did that initially when I was starting agentic coding, but I realized I couldn't keep adding stuff to agents md. Then I saw others also doing the same, so settled on this.
codebases have always contained slop. we have always been okay with this because code rarely needs to be perfect, outside of mission critical "hard" (eg embedded) software. swe is a unique form of engineering because you're often building something that constantly evolves and is almost organic - user tastes change, your mental models evolve, and features come and go. admittedly, i and many others who've been coding for a long time were initially (like back in 2024) skeptical that agents would write production code. "but what about all the slop that would enter our beautiful codebase?". well, even before, we had human slop, and there was a lot of it! if we're being truthful, most people call "code i didn't write" slop. the reality is that 99% of people (i include myself in that number) don't even know what Good Code looks like, let alone be capable of writing it. i would propose that Good Code is: • correct • bug free • fast and cost efficient to run it has always been exceedingly difficult and expensive to write truly Good Code, because for the longest time (maybe @bendlang will change that), code was not something you could cheaply and formally guarantee to have all 3 of these properties. this is why writing hard software is much more difficult and expensive, because depending on the use case, you may only get one chance and so you have to be right from the start. but the vast majority of software we use does not need to be Good Code to provide value to users. in fact, it is very likely that most software we use is not formally verifiable! we accepted some bugs in exchange for velocity and progress, so we rely on tests and o11y instead and have adopted a more incremental approach. this is a good thing! agents help us move faster, and if you're open to the idea, are capable of helping us write better code. it won't be Good Code (that is still expensive), but it is likely to be much better on average at scale. the new craft of swe is to figure out how to do this. it's your job now! if your productivity with and without agents is not significantly different, you're doing something wrong. but it's not too late to embrace it and use it as an opportunity to learn a whole new skill tree
@julienrenaux @evpick My YouTube channel and email list
Instructions are a last resort. Want to enforce a coding standard? Configure or create linting rules. Want to avoid the LLM copying an existing anti-pattern? Refactor the bad pattern and make it a build error if it happens again. Want to explain a confusing or insistent design? Fix the design and be consistent (it’s easier than ever with AI!) Want to run a process after each file edit or when the model stops? Use a hook. Want to describe a process like opening a PR or doing a code review? Create a skill. Instructions are rarely the best option. They’re “soft”. They bloat context. They’re often ignored. And they often paper over problems. Fix the root causes. Use deterministic tools. Each time I see the agent make a mistake I ask, “how can I make this mistake impossible?” Instructions are just a suggestion. The techniques above create *certainty*. That’s why instructions are a last resort.
@hassanazharkhan good summary, I was looking to trim my unit tests - and this should help!
I have the same sentiment. While models might not be there yet, but they will eventually from the trajectory. We're finding ourselves moving up the abstraction ladder bit by bit every day and it can be disorienting. I try to focus on the new possibilities that offsets this doom
@ThePrimeagen I've been reflecting on this. I'm generally a very optimistic person, but lately I've been feeling a strange sense of sadness that coding has been "solved". I can, and have, made many caveats to "solved"... but I also know that in five years none of them will matter. It will be
I don't use the "official" plan mode myself, but I do come up with an implementation plan based on grilling session and coding standards. That has been enough for me
we’re thinking of killing plan mode and using the shift+tab hotkey to adjust effort levels I don’t think the models need plan mode anymore, but if you’re a plan mode diehard would love to get your feedback on why
@brandontroberts Yeah, that's one way, but only if you're into purely AI content. There's lots of hype content which I don't like much. Recently I've found Angular + AI is doing much better. But I'm wondering for how long, till frameworks become irrelevant 😂
Mental note: Use this on the material theme builder.
I find the latest models write a lot of unit tests. Most of them restate the code they were written after, so they always pass and catch almost nothing. They run fast, but they break on every refactor and the agent burns time fixing tests instead of the feature. The prompt I
@kentcdodds @bot Been exactly my point experience as well with Cursor. I don't remember when was the last time the agent performance degraded due to context filling up. But I have been also careful myself to not allow context to fill up that much. And try to have separate agents for work types
@akoskm I can do just do two "projects" at a time. More than that, it becomes challenging with me forgetting what I was doing in the first place and ending up with no clear achievement at the end 😔
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