🚀 Programming Languages Heading into 2030: My 2026 Reality Check
With AI everywhere, cloud booming, and performance/safety mattering more than ever, here’s my updated forecast based on current TIOBE, PYPL, GitHub, and job trends:
☠️ Dying out fast
Visual Basic & Perl — legacy only, almost no new projects.
📉 Slowly fading
Groovy & Fortran — niche holdouts, but not the future.
⚖️ Stable & still powering the world
PHP, Ruby, Lua, Dart (Flutter mobile is nice), SQL 💾 (data is king — pair this with anything).
💪 Strong & reliable for decades
Java, C#, Swift, Kotlin, Scala — enterprise, mobile, big systems. These quietly pay the bills.
🔥 Exploding right now
- Python 🐍 — AI, data, automation. Still dominating charts.
- JavaScript / TypeScript 💻 — Web runs on this. TS is the pro standard now (GitHub favorite).
- Go⚡ — Cloud-native, microservices, simple & fast backends.
- Rust 🦀 — Memory safety performance. Hitting new highs, winning in systems, blockchain, embedded.
- Zig — Dark horse for low-level work. Simpler C vibes.
My 2026 advice for learning/career moves:
Start with Python TypeScript — unstoppable combo for speed real-world apps.
Add Rust (systems/performance/future-proof) or Go (scalable backends/cloud).
Throw in SQL — you’ll thank yourself on every project.
The winners will be versatile devs who ship fast *and* build safe, high-perf code. AI handles boilerplate, but understanding tradeoffs wins jobs.
What am I missing? Is TypeScript underrated? Mojo going to take off? Or any surprise risers/faders in your view? Drop thoughts 👇
#FutureOfProgramming #TechCareers #Python #Rust #TypeScript #AI #LearnToCode