1. Compare the code against production data with MCP. We use a read only platform called Metabase which reads one of the MySQL replicas. I tell the agent to fetch production data and make a static pass (it doesn't run the code) in which it compares shapes and inputs, and oh boy it has caught a few misnomers.

2. To debug production data and create graphs. It connects to datadog (where we store the logs), checks the history of the commits, and many times suggest fixes. These are for low-medium impact like validations that didn't need to go through, or a step check that it was missing

3. Creating tickets on the board (we use linear). Now PRs are more detailed and can be understood.

And for coding? I've been spending the last 4 weeks scrutinizing EVERY output and decision from frontier models, and pushed back in many decisions.

I use AI like StackOverflow on steroids. And like using stackoverflow, I do it in a browser and I don't let the LLM touch my code.

I, personally, love programming more than ever!

Writing code is like trying to build a house without powertools. Could you do it? Sure. But no one ever will, for most values of no one.

An LLM can go and pull files off NFS, and write and run verification scripts in less time than I can even think of a testing strategy or locate the files.

Sometimes they'll do it unprompted

For writing unit tests, which are often repetative and verbose, they are another godsend.

Overall they're freeing up a lot more time for nice things like thoughtful API design, refactoring, system architecture and design work etc.

For exploring massive codebases they are another godsend

For tasks you enjoy, write them yourself.

What has made me enjoy it less, is having to deal with colleagues' use of it. Sorry to say, but I don't enjoy talking to meat proxies, or getting huge PRs that solve the wrong problem. It's like half the people have turned off their brain. We produce faster, but we don't produce the right stuff.

Also, LLMs are first and foremost excellent at reading ultra fast. Makes it excellent for summarizing and re-representing modules of your code

It uses a Chinese sage to illustrate the fight against using machines:

"I have heard my teacher say that whoever uses machines does all his work like a machine. He who does his work like a machine grows a heart like a machine, and he who carries the heart of a machine in his breast loses his simplicity. He who has lost his simplicity becomes unsure in the strivings of his soul. Uncertainty in the strivings of the soul is something which does not agree with honest sense. It is not that I do not know of such things; I am ashamed to use them."

It resonates with me similarly as the post.

  Afraid of loosing your job to someone with little programming skills, no aspirations to quality, and a huge Claude account?

Who likes typing code, writing boilerplate, reading bad documentation for nights looking for that small thing, asking around in forums, reading dependency source code, writing trivial unit/ui tests.

And who likes planning, architecting, directing a team, steering and giving advice, reviewing code, designing interfaces and APIs. Coding became more mentally exciting.

LLMs truly took the worst of this trade, and left all the enjoyable things (which they will be unable to do until AGI = for a long time if ever).

The previous time I had this kind of break from hands-on imperative programming was in… 1987.

I was seven years old when I started doing BASIC, and though interests came and went (at one point I went to film school), I never stopped coding entirely. Until now.

The amount of code I’m producing today is higher than before. I’m now also middle-managing a team and doing what’s effectively customer-facing product management, a combination that has become bearable thanks to AI. But it’s hard to shake the feeling that something is permanently gone from my life.

Now humans operate at a higher level of abstraction. Our focus area is now ensuring the high-level architecture will accommodate future needs well, ensuring the final product meets requirements, and most importantly, ensuring the final product has been validated. It’s important to use every strategy in the book to test the output via unit tests, smoke tests, integration tests, and end to end tests. On our team, we’ve been investing a lot in setting up full test environments that include the entire stack at a level simply unachievable before AI. Now we can merge code changes at an unprecedented velocity without losing confidence in the system.

    It’s hard to build up trust in something that pretends to be much cleverer than yourself.

Depending on LLMs doesn't feel that way now. And that really makes me reluctant.

For me, writing the code (literally typing), shifting files around, renaming things is slow. So I’ve been using small models + much stronger grasp on the reins. Similar to what this post mentions. It’s been great, the decisions come from me. I tell it to make a domain class with these fields and these invariants. It does it in a split second, I look it over, tweak it and move to the next part of implementation.

When I experimented with swarms it would spend an hour just having agents adversarially review to decide some pretty trivial details. This way, when someone asks me a question during review, I can answer it. When I need to dive back in, I know what to look for and where to look for it. I have way more connection to my work, than a few months prior.

I write software because I am interested in the final outcomes, not because I enjoy the journey, which is often infuriating because of the mistakes you make, or the crap you depend on to get your work done.

Whether people will still have jobs in three years, or thirty, only time will tell, but I feel people are kidding themselves if they think LLMs won't have an impact. We were fine with using machines to automate physical labor as we now balk at the same thing happening to the intellectual side of things.

I, personally, have done a complete volte-face as far as my views on the subject are concerned over the past year or so as I use LLMs more and more for coding and other tasks.

---

[1] There is this idea I have had of an Excel replacement: simple, purely functional, TSV-based spreadsheet with zero backward compatibility with styles as purely optional sidecar material that I have always wanted to do but lacked the time. Brainstormed a spec with Claude today. Might work on it in the near future.

You still need to know how to operate those machines. Know what’s right and what’s wrong.

Something like claude desktop can help people build, and I am putting myself behind this, a fully functioning scalable maintainable program(whatever platform) in an hour without having ever written a line of code themselves.

You and I took years to learn it, I have been writing code for 14 years now and everything I learned someone else can already use. Even newer paradigms these LLM’s can dream up.

Its the democratisation, or however you wanna call it, that people here are pissed about. All these years of knowledge

I use claude code at work, even for architectural decisions it can iterate small prototypes to validate. I still read code because I am old school but it can replace everyone I know.