A brief guide to AI-powered software development environments

It used to be that the value and reputation of coding contest winners was very high. Who cares how fast you can produce code that implements an algorithm or solves a problem?

Your competition is no longer other people, at least not by themselves, but AI combined with insightful prompting and good taste. Historically we wrote all our code ourselves and then we tested it ourselves.

What Happened

Yes, there was a period when we outsourced punching our cards to what was essentially a secretarial pool, but we were still writing out the code and doing all the thinking involved in the programming. Over the years we outsourced some of.

• On May 19, 2026, Antigravity became the basis for a new ecosystem.

• Ideally, you would create a spec for each project feature.

• You can even generate specs based on a vibe-coding session.

Key Details

Allowing software to help us by guessing what we mean advanced from word completion to line completion to function completion to program generation over a matter of about a decade. Currently a good model running in a good agent harness or IDE.

• You can also import specs from other systems and iterate on your specs.

• JetBrains Air was able to improve on the work of GitHub Copilot fairly independently.

• It did a rather good job, although I got further optimizations later on with other environments.

Why It Matters

That shifts the burden from actually programming to reviewing and testing the code. If you don’t even review and test the code, then what you’re doing is vibe coding.

• You can provide context to the chat from a number of sources, including files and folders, documentation, Git branches, and several others.

• For some agents you can select an effort level.

What Reports Say

Coverage of the story so far points to:

• Continued reporting by InfoWorld as more details emerge