Five years ago I was sitting in a Shoreditch café, listening to a newly-minted bootcamp graduate tell me how they'd be making £100k within two years. The same conversation happens in different coffee shops all over London, but with one change in 2026: now there's a shadow of doubt hanging over it.
"But what about the AI thing?" they ask, clutching their laptop where they've been learning React (which, incredibly, refuses to die). "Is this all pointless now?"
Look, I get it. The narrative that AI is coming for coding jobs has been relentless. And yes, things have changed dramatically since Github Copilot first showed up. But having hired over 50 engineers in the last 18 months, I can tell you the reality is much more nuanced.
The Automation Reality Check
First, let's address the elephant. Yes, AI code generators are frighteningly good now. My junior developers use them constantly. The 2025 release of CoPilot Ultimate practically writes entire microservices with a few prompts.
But someone still has to understand what the hell it's doing.
What I've seen is that the nature of coding jobs has shifted rather than disappeared. The market actually split into two paths:
- AI-assisted developers who focus on architecture, integration, and making the big decisions
- AI handlers who primarily prompt, review, and patch machine-generated code
Guess which ones get paid more? Guess which ones survive layoffs?
The truth that nobody with a course to sell will tell you: rote coding tasks are largely automated now. But understanding systems, knowing when the AI is hallucinating garbage, and being able to work with both humans and machines? That's gold.
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What's Still Hot in 2026
I just placed three senior engineers last month at salaries that would make your eyes water. All of them had these things in common:
- They understood systems thinking beyond single codebases
- They could read and refactor AI-generated code confidently
- They had deeper knowledge in at least one specialised area
So which languages and skills actually matter in 2026?
Python: The Cockroach of Programming Languages
Python simply refuses to die. Despite endless predictions of its demise, its combination with major ML/AI frameworks makes it essential. Even with all the AI advancement, data pipelines and model implementation need human oversight.
The new Python devs aren't just writing algorithms though - they're orchestrating them.
Rust: Still the Rising Star
While AI handles a lot of boilerplate code admirably, performance-critical systems are still largely human territory. Rust continues growing where milliseconds matter.
TypeScript: Frontend's Survivor
Typescript with modern frameworks remains strong, mainly because UI development needs that human touch. AI struggles with the subjective nature of good UI/UX despite what the vendors claim.
What's Fading Fast
Junior-level pure coding roles are vanishing. Sorry. Those "code monkey" positions where you churn out basic CRUD apps? They're nearly extinct outside legacy enterprises.
The bootcamps haven't fully caught up to this reality. Many still teach like it's 2022.
The Path Forward
So is learning to code still worth it? Yes, but with a massive asterisk.
Don't learn to code just to code. That's like learning to use Excel just to add numbers. Learn to code to understand systems, to speak the language of software, to know what's possible.
And specialize. For God's sake, specialize. The generalist junior dev position is endangered. The specialist who deeply understands one domain plus coding? They're thriving.
Here's my controversial advice: spend 50% of your learning time on coding fundamentals and 50% on a domain that interests you - whether that's finance, healthcare, logistics, whatever. The intersection is where the opportunity sits now.
The most successful candidate I placed this year? A former nurse who learned Python and specialised in healthcare data systems. Got four offers in two weeks.
Nobody's path will be straight in this environment.
Where to Learn
The learning landscape has changed dramatically. Traditional bootcamps are struggling to adapt.
Check out LambdaED's AI-native engineering programs if you want something cutting-edge. Their AI-first curriculum actually makes sense for the current market.
For those wanting to go deeper, The OHub's tech jobs section regularly posts roles with clear skill requirements that can help you understand what employers actually want versus what courses are selling.
This isn't about becoming a rock star developer anymore. It's about learning enough code to be dangerous, then combining it with something else valuable.
The game has changed. But it definitely hasn't ended.
