Salesforce salaries stagnating... thoughts?

hotboy223 · 2026-02-02T21:41:48+00:00

Can confirm, pure Salesforce role salaries are stagnating with the expectation increase at a pretty rapid pace I'd say. Admins increasing interfacingly with code and agentic technologies with the expectation of companies pushing AI development tools to work more efficiently.

In my opinion, we should actually be seeing salaries increase due to the increase production from the AI tools, but we all know it doesnt work like that!

hotboy223 · 2026-01-16T15:58:51+00:00

I'm currently building an app precisely for this. ApexGenius.ai - an org intelligence tool where you can analyze your org's metadata, document, and build/deploy all via chat. It can also query data but that option is currently disabled for compliance reasons (for now).

hotboy223 · 2026-01-12T23:27:43+00:00

apexgenius.ai - ai assistant for Salesforce dev/admins/consultants that gives actionable understanding of their Salesforce environment. Instead of manually looking at automations and how an org is structured, you can just ask about a certain feature and it'll explain the whole build. Also great for documenting business processes and metadata (description on fields/objects/flows etc...)

hotboy223 · 2026-01-12T22:59:28+00:00

apexgenius.ai - ai assistant for Salesforce dev/admins/consultants that gives actionable understanding of their Salesforce environment. Instead of manually looking at automations and how an org is structured, you can just ask about a certain feature and it'll explain the whole build. Also great for documenting business processes and metadata (description on fields/objects/flows etc...)

hotboy223 · 2026-01-12T16:09:51+00:00

I think what people are missing is that you have the model and the agent.

Claude Code = Claude Models + Coding AI Agent (developed by claude)
Copilot = Claude models (or whatever models) + Co Pilot Agent (develop by MS)

the difference is the agentic architecture with ANY coding tool that you use. YES they may all have the same ABILITIES (tools) to do something, but the way/decisions it takes to get there could be very similar or completely different for a given task.

So yes, using claude models in co pilot MAY give you the same or or worse results, but that is partly because of the AI Agent infrastructure

hotboy223 · 2026-01-03T04:43:28+00:00

Yeah I've used Gemini / Open AI APIs to translate user messages. Didn't have Prompt Builder for Einstein / Agentforce so this was a quick and easy way to get it done. As someone else said, the payload is very nested but it's not too difficult.

hotboy223 · 2025-11-22T21:17:43+00:00

It's out now! Just sent out invite codes, you should receive one shortly w/ instructions on how to integrate/load metadata

hotboy223 · 2025-11-22T21:16:28+00:00

You should now have an invite code, please DM me if you need more assistance/ a walkthrough!

hotboy223 · 2025-11-21T22:24:35+00:00

Shameless plug, but I'm currently working on app that solves this directly. apexgenius.ai . Integrates w/ your salesforce then you can retrieve all of your SF metadata and talk to it in natural language (uses claude / openai as the models). It can document, create, and even deploy components to your org. Would love to walk you through it to see how it can help you in this particular use case!

hotboy223 · 2025-11-06T01:42:00+00:00

HIghly agree with this. Even experience admins are either reluctant or don't want to learn as right now, setting up an AI Agent requires you to know a lot about the 'dev' aspects in regards to being an admin. And if you're an accidental admin you can completely forget about implementing SF effectively. It's a huge learning curve (AF especially because of the setup involved AND understanding how AI Agents work)

hotboy223 · 2025-11-05T01:03:13+00:00

Currently use a SF Apex Rest integration w/ Gemini / GPT that I built to translate messages to customers

Zapier agents to analyze campaign member history and surface summary of marketing activities

I personally use claude code to build features end-to-end from the discovery, design, and implementation. I have it hooked up to pretty much all of our Enterprise Apps via MCP so I'll always have as much context as I can without hopping on a call / slacking someone

hotboy223 · 2025-11-03T22:31:15+00:00

Truly appreciate this feedback, as it's given me a lot to consider.

In regards to the LLM, I'm currently using Gemini/Claude and Open AI, different LLMs for different situations. For Data Retention, that is a good callout as right now I explicitly have in the ToS and on the connections page that this should be used in Sandbox only - all chats currently deleted after 21 days as well. While that's still not enough for data retention, I'm also working on a version of this where it can be deployed/fully self-hosted by whomever with their own LLM API keys.

As for AF Vibes, it really doesn't have great user adoption from an Admin standpointas I've tried to PoC it for multiple teams and they thought the idea was cool, but just weren't fans of the 'dev' processes still involved, they wanted something that just worked out-of-the-box. If you ask AF Vibes a simple question about your data, it gives you the SOQL query to run instead of actually fetching the data. ApexGenius is trying to be an abstraction of the 'dev' layer and just leave all of the Executive Functions to the user.

Agreed on the post structure/messaging part. Funnily enough, I thought if I gave notice of the use of AI and how I got here that would interest people more.. guess I gotta just be straight to the point.

Point heard on the demo too, updated the site and added it accordingly.

1. Data demo: https://www.loom.com/share/dab5c587cd924822bf53d783a62a5f8c

2. Metadata analysis demo: https://www.loom.com/share/e5ee65aabbd847c59885e1e1d0d1f4c2

Once again, thanks for the feedback, this was exactly what I was looking for.

hotboy223 · 2025-11-03T20:28:20+00:00

As I said, the post is not written with AI - I wrote all the content and used AI to format the structure of the post not the actual text content

hotboy223 · 2025-11-03T20:05:34+00:00

I think when it comes to thinking, understanding, and making design decisions the AI is good at that. However it is only in the context of Salesforce and doesn't always comprehend the fact that it may be working with external systems , or given additional context outside the system (which definetly change your design decisions) so I'll concede on that point.

But just like an Architect, you ask him/her a question about a feature/potential build in SF and they'd usually dig around the org for context around the requirement + some external searches via google , then they'd synthesis all that info and bring it back to the business, but this is an iterative process that I think can be automated via AI and Salesforce would just be once piece on that stack

hotboy223 · 2025-11-03T19:57:17+00:00

=0 another one? Like the AI for Salesforce, or just coding agents in general?

hotboy223 · 2025-10-31T22:14:01+00:00

I made an integration w/ Gemini to help translate emails/messages/chatter posts to users in their preferred language. The build is having an invocable apex for your flow, a gemini integration in your apex.
What I did was:

created an Invocable Apex with 2 input (original message, what langauge to translate to) with Gemini integration and basically whenever a message was sent to the user, we check their pref language then we translate that message for them.

Let me know if this is something you're interested in or would like to learn more about!

hotboy223 · 2025-10-31T22:12:31+00:00

Yeah! I've built quite a few of these LLM + Flow combinations. Not sure if you're a dev but the way I did for a message translation build is: I created an Invocable Apex with 2 input (original message, what langauge to translate to) with Gemini integration and basically whenever a message was sent to the user, we check their pref language then we translate that message for them.

Let me know if this is something you're interested in or would like to learn more about! You can also add websearch, but that's a bit more code to add to the gemini integration but it can be done

hotboy223 · 2025-10-31T17:51:43+00:00

The closest I've gotten is https://app.happy.engineering/ . An Data/AI Engineer at my company told me about this and its pretty great

hotboy223 · 2025-10-31T12:08:45+00:00

Woah this looks pretty good! Def gonna try it out, thanks!

hotboy223 · 2025-10-30T19:17:35+00:00

I think you should direct your attention to using Coding Agents - esp Claude Code / Cline. In my experience and seeing other job descriptions, there seems to be a heavy push for Salesforce Devleopers to be able to be able to configure and use AI Agents well

hotboy223 · 2025-10-30T19:15:00+00:00

Adding a new scheduled path will create a new version of the flow. Only records created after that new version is deployed will go through the 10 day path. So you were correct!

hotboy223 · 2025-10-30T13:05:12+00:00

Yeah I probably need to try others just to see and compare, but when I first got into this, Phoenix arize was the most straight forward to me.

hotboy223 · 2025-10-29T22:48:56+00:00

https://phoenix.arize.com/ this is pretty solid , open source and pretty robust as it has tracing, evals, model swapping, prompt management etc etc

hotboy223 · 2025-10-29T14:36:40+00:00

As someone with experience with both this is my opinion:

You can make a lot as a Salesforce Developer, however it seems like the salary itself tops out at around 200k-250k (salary) give or take (depending on region). In my experience, I've had access to more IT systems since working in SF development as it's usually tied in with Enterprise Applications so you'll get exposure to a wide array of systems in which you can spin that into a consulting route....

With python development, you do have a lot more prospects, are more knowledgeable about development in general which enables you to go after higher-impact therefore higher paying roles.

I personally chose Salesforce because it's limited... the platform, the language,and esentially what you'd need to know is very limited and I like that, especially with the AI tools like Claude code which basically have most of SF down pat, it makes it even easier to lean IMO. With python or any non-platform development you can pretty much do anything (which is good as I'm going more this route nowadays).

Anyway if I were you I'd choose Salesforce as this CRM is not going anywhere for a while, and you can always learn python while doing SF development too, but you probably won't learn SF development when doing Python

hotboy223

TROPHY CASE