[PaulRobinson]

Developers are - on average - terrible at this. If they weren't, TPMs, Product Managers, CTOs, none of them would need to exist.

It's not specific to software, it's the entire World of business. Most knowledge work is translation from one domain/perspective to another. Not even knowledge work, actually. I've been reading some works by Adler[0] recently, and he makes a strong case for "meaning" only having a sense to humans, and actually each human each having a completely different and isolated "meaning" to even the simplest of things like a piece of stone. If there is difference and nuance to be found when it comes to a rock, what hope have we got when it comes to deep philosophy or the design of complex machines and software?

LLMs are not very good at this right now, but if they became a lot better at, they would a) become more useful and b) the work done to get them there would tell us a lot about human communication.

[0] https://en.wikipedia.org/wiki/Alfred_Adler

[chronid]

> Developers are - on average - terrible at this. If they weren't, TPMs, Product Managers, CTOs, none of them would need to exist.

This is not really true, in fact products become worse the farther away from the problem a developer is kept.

Best products I worked with and on (early in my career, before getting digested by big tech) had developers working closely with the users of the software. The worst were things like banking software for branches, where developers were kept as far as possible from the actual domain (and decision making) and driven with endless sterile spec documents.

[kenjackson]

Yet IDEs are some of the worst things in the world. From EMacs to Eclipse to XCode, they are almost all bad - yet they are written by devs for devs.

[kaibee]

Unfortunately, they are written by IDE-devs for non IDE-devs.

[Scarblac]

I disagree, I feel (experienced) developers are excellent at this.

It's always about translating between our own domain and the customer's, and every other new project there's a new domain to get up to speed with in enough detail to understand what to build. What other professions do that?

That's why I'm somewhat scared of AIs - they know like 80% of the domain knowledge in any domain.

[prmoustache]

I think developers are usually terrible at it only because they are way too isolated from the user.

If they had the chance to take the time to have a good talk with the actual users it would be different.

[Slartie]

The typical job of a CTO is nowhere near "finding out what business needs and translate that into pieces of software". The CTO's job is to maintain an at least remotely coherent tech stack in the grand scheme of things, to develop the technological vision of a company, to anticipate larger shifts in the global tech world and project those onto the locally used stack, constantly distilling that into the next steps to take with the local stack in order to remain competitive in the long run. And of course to communicate all of that to the developers, to set guardrails for the less experienced, to allow and even foster experimentation and improvements by the more experienced.

The typical job of a Product Manager is also not to directly perform this mapping, although the PM is much closer to that activity. PMs mostly need to enforce coherence across an entire product with regard to the ways of mapping business needs to software features that are being developed by individual developers. They still usually involve developers to do the actual mapping, and don't really do it themselves. But the Product Manager must "manage" this process, hence the name, because without anyone coordinating the work of multiple developers, those will quickly construct mappings that may work and make sense individually, but won't fit together into a coherent product.

Developers are indeed the people responsible to find out what business actually wants (which is usually not equal to what they say they want) and map that onto a technical model that can be implemented into a piece of software - or multiple pieces, if we talk about distributed systems. Sometimes they get some help by business analysts, a role very similar to a developer that puts more weight on the business side of things and less on the coding side - but in a lot of team constellations they're also single-handedly responsible for the entire process. Good developers excel at this task and find solutions that really solve the problem at hand (even if they don't exactly follow the requirements or may have to fill up gaps), fit well into an existing solution (even if that means bending some requirements again, or changing parts of the solution), are maintainable in the long run and maximize the chance for them to be extendable in the future when the requirements change. Bad developers just churn out some code that might satisfy some tests, may even roughly do what someone else specified, but fails to be maintainable, impacts other parts of the system negatively, and often fails to actually solve the problem because what business described they needed turned out to once again not be what they actually needed. The problem is that most of these negatives don't show their effects immediately, but only weeks, months or even years later.

LLMs currently are on the level of a bad developer. They can churn out code, but not much more. They fail at the more complex parts of the job, basically all the parts that make "software engineering" an engineering discipline and not just a code generation endeavour, because those parts require adversarial thinking, which is what separates experts from anyone else. The following article was quite an eye-opener for me on this particular topic: https://www.latent.space/p/adversarial-reasoning - I highly suggest anyone working with LLMs to read it.