“AI will dramatically expand who can participate in software creation.”
Redeployed is a weekly newsletter that breaks down one important AI story at a time for leaders in technology. Every issue explains what the shift means for technology companies and how smart leaders can use it to get ahead.
The Gate to Software Creation Is Opening
For decades, building software required a specific skill set.
You needed to know the language, the frameworks, the infrastructure.
If you didn’t, you simply couldn’t participate.
Now that gate is opening.
Cisco’s Chief Product Officer recently predicted that AI will dramatically broaden who can create software. With copilots, prompt-driven tools, and AI-assisted development environments, people without traditional engineering backgrounds are starting to participate in building applications.
Not just experimenting.
Actually shipping.
This is the next phase of AI’s impact on software.
From Coders to Creators
The shift is already visible.
Product managers are generating prototypes with AI. Designers are building landing pages without waiting for front-end teams. Operations teams are scripting workflows through conversational interfaces.
In many cases, the first version of a product is no longer written by a developer alone.
It is assembled by a mix of domain experts, AI tools, and engineers who refine what emerges.
The pool of people who can create software is expanding.
This issue of Redeployed is brought to you by Tecla: As AI tools expand who can start building software, companies still need experienced engineers who can turn prototypes into reliable systems.
Tecla helps technology companies hire experienced engineers who already work alongside AI tools and understand how to build production-ready systems. Tecla helps technology companies hire experienced talent in the U.S. or nearshore.
What This Means for Engineering Teams
At first glance, this shift can look like a threat to traditional development roles.
In practice, it is creating a different kind of pressure.
When more people can generate code, the value of engineering moves upstream.
Teams need developers who can design systems, review AI-generated logic, enforce architecture, and prevent fragile prototypes from becoming fragile production systems.
The work does not disappear.
It changes shape.
What this means for hiring
As AI expands the creator pool, experienced engineers become even more critical. Teams still need developers who can review AI generated code, design reliable systems, and guide what gets shipped to production.
That is why many U.S. tech companies are expanding their teams with senior engineers who already work alongside AI tools and collaborate in real time across time zones.
The New Skill Divide
This is where the gap is likely to grow.
On one side, a growing group of creators using AI to build simple tools and prototypes.
On the other, experienced engineers who understand reliability, scalability, and system design.
The organizations that succeed will combine both.
AI expands who can start building.
But it does not replace the people who know how to finish.
What Leaders Should Watch
For technology leaders, the takeaway is not that everyone will become an engineer.
It is that engineering will become more collaborative.
Teams will increasingly include non-traditional builders who can prototype quickly with AI. Developers will spend more time guiding architecture, validating systems, and integrating what others create.
The creator pool will grow.
But the need for experienced builders will grow with it.
Connect With Other Technology Leaders
If you want to connect with other technology leaders having real conversations about AI and how it is changing business, check out GILD Curated Circuit.
More to come…
Recommended Reads
✔️ For open source programs, AI coding tools are a mixed blessing — TechCrunch
✔️ Vibe coding is coding, period — Fast Company
✔️ Are You ‘Agentic’ Enough for the AI Era? — Wired
– Gino Ferrand, Founder @ Tecla