Episode #64: Everything is Code - AI, Cloud & The Future of Development
The Developer Paradox: More Code, Fewer Jobs
There’s never been a more powerful time to be a developer.
AI tools can now write clean, production-grade code.
Cloud platforms like AWS Amplify and Cloudflare Workers let you stand up global infrastructure with a few lines of code and a laptop.
And the “everything as code” movement is redefining how applications are built, deployed, and scaled.
So why are job postings for developers on the decline?
It’s a paradox that’s caught the attention of technology leaders—and it’s the topic we tackled in the latest episode of Resourcive as a Podcast.
AI is Eating the Tactical Layer
The data is clear: AI is accelerating productivity across software development. But it’s not eliminating the need for developers—it's changing where they’re needed.
We’re seeing a shift away from tactical execution—writing boilerplate code, debugging repetitive tasks—and a consolidation of value around engineers who can architect systems, define strategy, and integrate AI into the workflow.
In the past, that work might have gone offshore or been handled by junior devs. Today, it’s being absorbed by LLMs that can respond instantly, iterate rapidly, and deliver code that would have taken days to write manually.
This doesn’t mean engineers are being replaced. It means the best developers are being elevated.
Everything Is Code—And That Changes Everything
In the episode, Kyle Gotzman shares a recent experience: deploying a redesigned database, full-stack application, and global infrastructure from a beach in Hawaii—with just a laptop and a Wi-Fi connection.
That’s the power of “everything as code.” Not just infrastructure as code. Not just DevOps automation. But full-stack, environment-ready deployments written entirely in code and pushed globally in seconds.
These tools are collapsing the need for siloed teams and manual processes. Application, database, infrastructure, security—defined and version-controlled in one place.
It’s efficient. It’s scalable. And it’s raising the bar for what IT teams can deliver.
What About Legacy Environments?
Of course, not every organization is ready to operate this way. Many are still running legacy systems, on-prem infrastructure, or tangled hybrid environments.
That’s where Kyle introduces the Strangler Fig approach—an incremental migration strategy where new features are developed in cloud-native environments while legacy systems are slowly deprecated.
It’s not about rewriting everything overnight. It’s about building the future piece by piece, with a clear program strategy and the right tooling in place.
Resourcive’s POV
At Resourcive, we help organizations navigate exactly this kind of shift.
Whether it’s rethinking your cloud strategy, sourcing the right platforms, or evaluating where AI fits into your development and deployment processes—our role is to help you modernize faster, with less risk, and more confidence.
TL;DR
AI and cloud platforms are making it easier than ever to build and deploy software—so why are developer job postings declining?
In this episode of Resourcive as a Podcast, we explore::
- How AI is replacing tactical dev work, not strategic engineering roles
- Why “everything as code” is redefining software deployment
- The shift from offshore dev teams to AI-assisted workflows
- How enterprises can modernize legacy environments using the Strangler Fig approach.
The takeaway? Developers aren’t going away—they’re evolving.
And organizations need a plan to evolve with them.
