These days, AI tools like GitHub Copilot or ChatGPT feel less like helpers and more like real partners in our engineering work. Now comes vibe coding—a funny-sounding idea with huge impact. Vibe coding means working with AI to express our software intentions and context, rather than focusing solely on precise code. It shakes up how we think about writing, fixing, and running software.
Building on this, for years, code was our bridge to machines. We sweated over rules, patterns, and clean syntax to make them understand us. But AI gets our intentions now, straight from the vibe, the goal, the context, what we really want. No more line-by-line translation needed.
Of course, this shift isn't without its quirks. The code AI generates isn't always pretty; it might look messy or hard for humans to read. But that's okay. Future SRE and support won't be people, they'll be AI agents. These agents regenerate logic, fix bugs, and tweak things without whining about style. They just need the big picture to get the job done. Computation and storage are cheaper, and the focus is less on performance and more on cost when we talk about standard lines-of-business applications.
Think about electronics. These days, no one fixes a TV board at home. We swap out parts or the whole thing; it’s just too complex. It’s the same with low-level code. Very few still write processor firmware directly. Abstractions now do the work. Vibe coding pushes this even further.
This abstraction will be clear in daily work with Azure, GitHub Copilot and other technologies within 9-12 months. We say: "Build a Function App with Event Hub, Azure SQL, private endpoint, and VNet." Boom, Terraform code appears, with tags, diagnostics, and smart SKUs. Not perfect, but solid to start. Maintenance? AI agents handle drifts, updates, or region swaps by reading the original intent.
We already see the future of vibe coding through the new GitHub Copilot agents. For example, Copilot Edits can rewrite whole files or modules just from a simple instruction like “refactor to use dependency injection” or “add retry logic to Event Hub calls.” You no longer think about syntax or patterns; you just express the intention, and the agent reshapes the code around it.
Copilot Workspace goes even further by generating full projects from a description. You can say, “Create an Azure Function with Event Hub, Azure SQL, and Terraform infrastructure,” and it automatically builds the structure, modules, and configuration. It acts almost like a junior engineer who understands your architectural vibe and fills in the details.
Other agents, such as Copilot Actions, are starting to take over SRE-style tasks. They fix CI/CD pipelines, update Terraform workflows, rotate secrets, or patch deployment logic based on natural-language guidance. This is exactly the world vibe coding points to: humans define the direction, and AI handles the building, refactoring, and ongoing support.
The big shift? Humans stop coding the details. We set strategy, creativity, and constraints. AI glues it all and keeps it running. Engineers evolve, as we did with cloud, first scared, then leading.
Future generations may express surprise that previous engineers wrote code manually, line by line. This reaction is analogous to how some now view earlier approaches to electronics repair.
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