Faced with the Aipocalypse with open eyes and a plan to win
It is a division problem. Each time I write on AI affecting engineering means of subsistence, jobs or AI commercial automation, I receive two very repeated responses:
- “Don't be stupid, AI will never do it.” A guy even said to me: “Your intelligence is artificial!
- “Yeah, my brother is wild. It's a lot to manage.”
I'm not here to worry. I prefer optimism, but let's be real, change is here. He is already hitting, and those who remain open -minded and conscious will adapt and prosper through this massive transition.
I keep my eyes open and I live to evolve with AI. Bury your head in the sand as an ostrich and convince you that it does not happen is not a strategy.
FTW preparation.
So what is my advice for software in the middle of the biggest upheavals we have ever seen?
Learn AI – Aucomi now where you sit down
- Dev Junior? Learn Ai.
- Main engineer? Learn Ai.
- Lead of the software product, the team lead, CTO? Learn Ai.
It's Tech, that we love anyway. Being late to react to this change will hurt.
How to learn AI as a dev
The more I share my Automation experiences of AI, the more I see it as one of the wildest time of opportunity of all time.
Here is the truth: many, a lot of software ignores AI. Many of us revel and just try things, but we are still the minority.
One thing is certain: you will need more than an hour or two with Chatgpt.
Learn the landscape
AI is more than the simple Chatppt. These are LLMs, agents, workflows, memory and many divergent modeling approaches. It can be fundamentally a research tool, but almost every day, a new team takes it out to do something new.
My advice:
- Read Hacker News, Hackernoon, X and Profitswarm.ai
Learn to think in AI
Fast engineering is a state of mind. If you are good at writing PRDs or a sale copy, you already have an advantage. The quality of your AI outputs depends entirely on the quality of your entry (prompts).
My advice:
- Get used to calling AI APIs with various dynamic prompts
- Play with Image Generation tools AI
- Practice framing outings in a concrete way
- Learn the quirks of the system and the guests of the master system
- Learn automation tools (
Gum Lindy, N8N, etc.)
Vibration
My last two messages on Hackernoon have exploded. The coding of the atmosphere exploded, then became an interesting niche drama last month.
… But I think these dramatic catches often lack the point.
The coding of atmospheres is legitimate for good developers.
For others, it is always fun and ideal for prototyping. But do not expect it to still produce a loan code for production, secure and scalable.
For engineers who embrace the ambient coding, it is a multiplier.
Thus, in April 2025, the intelligent coding atmosphere is:
- Non-technical: Use AI to prototyper and learn. Do not presume that it produces production code for production
- Devs Juniors: Use it to learn and speed up your logical writing, but check, check, check
- Senior engineers / Complete developers: AI is excellent on:
- Rapid prototyping
- Quick work (if bland) of user interface
- Passe-share code writing (for example, Basics Crud / Dal)
But to my mind, I have still needs advice on:
- Security
- Authentication
- Formatting
- Nomenclature
- Basic dependencies
By being good engineers and fueling PRDs, robust specifications and towels arrangements, then hardening the code, we can get fairly amazing results.
Employed as a software engineer? Direct AI in your organization.
It's great to be an engineer; This can be an enriching job. But honestly, you should direct the adoption of AI in your organization, or at least be part of the transition. Otherwise, you may be left behind 2026.
- Propose a project for yourself to test tools and bring yourself back to your business
- Write internal updates On what works in AI
- Know AI changes affecting the market
- Be forward automation
- Don't forget to be human; People need their work and change often creates anxiety. This can appear as an escalation / conflict; carefully walk
(Note: Some regulated industries and software could be more difficult to adopt AI; Think of health care, finance, etc. But do not be completely blocking yourself, think of the ways in which AI can be applied without annoying people or erase regulatory restrictions.)
Decide your line, the release of strategies and craftsmanship
AI revolutionizes our profession. To what extent humans will lead software in the future is not clear. Have an honest conversation with yourself in advance.
-
If your work pivots the management of AI employees, do you always want to do it?
-
Is software engineering your job? Do you want to compete on a market divided with AI clones factories?
-
Will you like a daily professional life with far fewer humans in it?
We all have a line. A range of environmental variables that are nourishing, or even simply acceptable.
There may be opportunities to rotate, recycle, accept or reject AI in the context of our workflows.
Define your line before you are made to cross it.
Strategy examples:
- Some software entrepreneurs could prosper by always retaining the Dev Craft Human
- Others might become excellent to automate and be happy to retaliate
- You might pivot the council or a completely different career
(Please don't take this as a living advice. I just want to make you think!)
Swivel to Irl
A traction that I feel (and I think it will be massive by 2026) is the pivot of knowledge workers in IRL companies.
Maybe you always wanted:
- Captain a boat
- Make giant sculptures
- Direct a small farm
- Make tailor -made furniture
.. or maybe it's just me 😅.
Software and logic are comfortable, but IRL “work” can be healthier, present new challenges and represent a mature opportunity.
Technology could extract the joy from hand -making applications. It will probably make copies 1,000 times more prolific, making it a lower race.
In my opinion, there are many advantages for many of us in the IRL sector in the coming years.
Certainly, I will cover my digital companies with analog companies.
My preparation Aipocalypse
I am generally optimistic. I believe that AI will create good results for many of us. But I like this quote:
“Reverse, always reverse.” – algantage Carl Jacobi, via Charlie Munger
I always try to see the alchemical opportunity in everything I do. The reverse. AI has enormous potential for mass career changes, but also great opportunities for us as manufacturers of craft systems.
What I do to evolve with AI:
- Lean about the hard AI (make a challenge to make a 100% AI company this year – Profitswarm.ai)
- Do learning to use AI a fundamental part of my life
- I constantly experience, while trying to remain anchored in my values and my humanity. (AI is super experimental at the moment)
- Balance digital life with IRL life
- Cover by looking for local biz opportunities
The AI could be a philosopher stone or an ax of a management consultant. You decide.
Let's see where I lead us
If you want to follow my IA commercial automation experiences, you can subscribe to ProfitsWarm.ai.
I'm going to make my philosopher, or explode fantastically. Let's see where it takes us.
