Zakaj ChatGPT ne ubije kodirnikov

Zakaj ChatGPT ne ubije kodirnikov

Časovni žig: 25. januar 2024 5
Izvorno vozlišče: 3083686

In
Bo ChatGPT ubil koderje?smo preučili številne zaviralce povpraševanja, ki so grozili, da bodo uničili delovna mesta kodirnikov. Omenili smo tudi STIMULANTE POVPRAŠEVANJA, ki delujejo kot protiutež s spodbujanjem povpraševanja po kodirnikih.

V tej objavi se bomo poglobljeno poglobili v Stimulansi povpraševanja.

Spodbujevalci povpraševanja, ki vključujejo nove računalniške paradigme in trge, ne le ustavijo upada kodirnih delovnih mest, temveč povečajo število kodirnikov.

NOVE RAČUNALNIŠKE PARADIGME

Anyone who has followed the IT industry for the last two decades or longer would have observed many waves of computing paradigms like Web, Mobile, Social, Cloud, and Blockchain alongside the growth of ERP, RAD, AI, and other demand suppressors described
v naši prejšnji objavi.

Vsak nov val računalniške paradigme je ustvaril novo povpraševanje po kodirnikih.

  • Splet: Velik del ERP-ja, ki temelji na arhitekturi odjemalec-strežnik, je bilo treba razširiti za podporo internetnih transakcij z dobavitelji, strankami in drugimi zainteresiranimi stranmi.
  • Mobilno: veliko obstoječih aplikacij, kot je CRM, je bilo treba "mobilizirati" (ali "mobilizirati", če želite).
  • Oblak: aplikacije Onprem je bilo treba preseliti v oblake hiperskalerja, kot so AWS, Azure in Oracle Cloud Infrastructure.

Gen AI is the latest wave. By automating coding to some extent, it will suppress demand for coders. However, by requiring training of AI on industry- and enterprise-specific data – “last mile training” as Oracle calls it – Gen AI will also stimulate demand
for coders.

NOVI TRGI

Skozi desetletja smo bili priča rasti podjetij za programske izdelke in podjetij SAAS ter valov digitalne transformacije in potrošniške tehnologije.

Ustvarili so nove trge za delovna mesta kodiranja, kot so:

  • Inženirske organizacije podjetij COTS (Commercial Off The Shelf) in SAAS
  • Ponudniki orodij (RAD / Low Code), vključno z odprtokodno programsko opremo in vtičniki WordPress.
  • Razvijalci platforme Gen AI
  • DX praksa Big 4 in drugih svetovalnih podjetij
  • Potrošniška internetna podjetja v panogah finančne tehnologije, dostave hrane, skupnih prevozov, sob, potovanj in drugih.
  • Software Is The Brand companies. Coined by Forrester, the term SITB refers to the practice among banking, engineering and other non-software industries to differentiate themselves via software. Examples of SITB include Trade Finance and High Value Fund
    Transfer software in banks, and Internet of Things (IoT) in manufacturing automation companies.

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@mattturck: Whatever happened to the Internet of Things? 10 years ago, IoT was the next big thing. Tons of new startups, VC money and hype. Ended
up producing just *one* currently independent public company today, Samsara.

@s_ketharaman: It could be argued that IoT has been in use in chemical process plants etc. for 40+ years in the form of sensors, DCS, and PLCs.
At most, these products will need to be upgraded to ZigBee and other open Internet protocols to make them true IoT. But those opportunities will likely be tapped by Honeywell, Schneider and other existing process control equipment suppliers and may not create
opportunities for new startups.

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  • Infuzija AI v izdelke podjetij, ki niso programska oprema. npr Industrijski kopilot Siemens.

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Microsoft in Siemens sta pripravila proizvodnega pomočnika, imenovanega Siemens Industrial Copilot, ki bo … pomagal vzdrževalnemu osebju pri popravilih. – @superglaze.

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If recent history is any guide, I predict that Gen AI will create more coding jobs. At most, it might lead to a displacement of jobs from engineering to professional services organizations (PSO). (For the uninitiated, coders who develop the core product
on the roadmap of a COTS or SAAS company are in the engineering org, and coders who implement or support the product for a specific customer of such a company or its implementation partners are in the professional services org.)

That said, we must recognize one major difference between Generative AI and the demand suppressors that came before it: ERP, RAD / Low Code etc. obviated the need for code. They did not produce what coders produced. Whereas Gen AI does not obviate the need
for code. It produces what coders would otherwise have produced.

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@vkhosla: Fun story – at a recent coding hackathon, the winner was a marketer. Not a coder, but a marketer. Previously it was the best coder who
won, less dependent on idea and more on execution and ability to jerry rig a solution. Now it’s the best idea that wins since we’ve democratized what it means to program and barriers to entry are much lower (i.e. natural language!)

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V tem obsegu ima Gen AI neposredno konkurenčno postavo proti koderjem, oblikovalcem in arhitektom, za razliko od zaviralcev povpraševanja iz preteklosti.

V skladu s tem bi lahko trdili, da lahko ChatGPT izpolni tudi novo povpraševanje po kodirnikih, ki ga poganjajo nove računalniške paradigme in zgoraj obravnavani trgi.

Glede na mojo osebno izkušnjo uporabe ChatGPT za pridobivanje pripravljene kode, bo Gen AI zagotovo zmanjšal povpraševanje po veščinah kodiranja navadnega HTML CSS.

Prehod na kompleksna spletna mesta in aplikacije. Vzemimo naslednji primer:

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Me: Koda za klon Uber?
ChatGPT: Creating a full Uber clone is a complex and extensive project that involves multiple components, including mobile apps for passengers and drivers, a backend server, payment processing, mapping and navigation integration, and more.
It’s a project that would typically require a team of developers and significant resources. I can provide you with a high-level overview of the components you would need and some sample code snippets to get you started, but keep in mind that building a full
Uber clone is beyond the scope of a simple code snippet…

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Ogledate si lahko celoten odgovor
tukaj. Čeprav je ChatGPT dal delčke kode za številne gradnike aplikacije Uber Clone, je iz zgornjega izvlečka jasno, da bodo kodirniki še vedno potrebni za izdelavo naprednih spletnih mest in aplikacij.

Kodirniki lahko uporabijo osebne pomočnike Gen AI za hitrejše pisanje kode boljše kakovosti. V tej vlogi bo Gen AI dopolnjeval – namesto nadomestil – kodirnike srednjega in višjega nivoja. Gartner ima zanje nekaj profesionalnih nasvetov v zvezi s tem:

  • Programski inženiring s pomočjo umetne inteligence izboljšuje produktivnost razvijalcev in omogoča razvojnim ekipam, da obravnavajo to naraščajoče povpraševanje po programski opremi za vodenje podjetja.
  • Razvojna orodja z umetno inteligenco omogočajo inženirjem programske opreme, da porabijo manj časa za pisanje kode, kar omogoča večjo osredotočenost na dejavnosti na višji ravni, kot sta načrtovanje in sestavljanje privlačnih poslovnih aplikacij.

Čeprav ga še nisem imel priložnosti uporabiti, sem slišal dobre stvari o pomočniku za kodiranje Microsoft Github Copilot.

Če vse drugo odpove, se spomnite starega pregovora iz Silicijeve doline:

Dobro vodeno tehnološko podjetje ima dvakrat preveč zaposlenih; slabo vodeno tehnološko podjetje ima 2-krat preveč zaposlenih.

Kodirniki ne potrebujejo več zagotovila o varnosti zaposlitve kot to!

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Slišim koderje, ki godrnjajo, da izdelava stimulansov povpraševanja presega njihove veščine.

They’re right. Like before, product managers and marketers aka normies will create the new computing paradigms and markets sparking greater demand for coders in the age of Gen AI. However, they will need to be supported by coders, designers and architects
aka geeks in this endeavor.

Ergo Generative AI predstavlja edinstveno priložnost za geeke, da sodelujejo z normisti.

Razkritje: Oracle je bivši delodajalec.

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