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AI software development isn't as fast or "magical" as tech influencers are selling it.
If you're actually in the trenches, you know AI didn't kill the workload, it just shifted where we spend our time.
We’ve moved from coding to intent orchestration.
Check this thread. 🧵👇
🤖 Made with AI
I just published AI Isn’t Replacing Junior Developers — It’s Eliminating the Traditional Learning Path medium.com/marketing-and-ent…
Check out my latest article: The Biggest Myth About AI in Software Development linkedin.com/pulse/biggest-m… via @LinkedIn
Most people think AI will replace software developers.
I think that's the wrong question.
What's actually happening is much more interesting.
🧵
I recently published a deeper analysis of this topic, covering intent orchestration, AI-generated code, business analysis, software architecture, and the future role of software engineers.
Article link 👇
techbusinessguide.com/the-sh…
9/ We're moving from coding to intent orchestration.
And that changes everything.
What do you think?
8/ The engineers who thrive won't necessarily be the fastest coders.
They'll be the ones who best understand business rules, system behavior, and stakeholder needs.
6/ That's why we don't believe AI eliminates software engineering.
It changes the nature of software engineering.
4/ In our experience, AI often produces solutions that are 80–90% correct.
The remaining 10–20% is where the biggest risks live.
3/ And that's where things get interesting.
AI can generate code.
It can't reliably identify missing requirements that were never defined.
2/ But software projects aren't just about writing code.
They're about understanding business requirements.
1/ AI is making code generation dramatically faster.
Tasks that once took hours can now be completed in minutes.
Tech Business Guide retweeted
Anthropic engineer: "You're not supposed to prompt Claude. You're supposed to build a system that prompts itself."
Loops.
Most builders are doing this wrong:
No memory file, so every loop starts from zero.
No sub-agent split, so one agent tries to do everything.
No stop condition, so loops run forever and bill you in your sleep.
Most builders are missing at least two of the three.
Watch the video first.
Then read this - everything you need to know about Loops in 2026, in one place.
Bookmark this before it gets buried.
7/ Less manual typing, yes. But way more system architecture, strict auditing, and QA.
Are your teams auditing the security of their AI-generated code, or are you sitting on a compliance time bomb?
Drop your thoughts below. 👇
6/ Software engineering isn't going away; it's morphing into a high-level role of Code Inspector and Editor.
If you don't have an intrinsic, deep understanding of code, you will never be able to spot exactly where the AI hallucinated.
5/ This means the traditional Junior Dev role—the one who just waits for a spec sheet to write syntax—is dead.
Today's Junior needs to be a Scenario Analyst. If they can't think through error scenarios beforehand, the AI won't either, and the system will crash.
4/ This is quietly building a massive wall of Invisible Tech Debt.
A client recently told me their analysts were pushing AI-generated scripts straight to production.
The result? Code riddled with security flaws that breached compliance laws (like GDPR/CCPA). Zero audit.
3/ My daily workflow now? I spend way more time mapping out business rules and iterating on prompt after prompt.
You have to run continuous feedback loops to get the code to fit edge cases. Prompting with granular engineering depth is the new superpower.