2026 in LLMs (so far)

For a long time, AI coding helpers were fun to play with but made too many careless mistakes to trust for heavy lifting. As underlying models quietly improve, automated tools have crossed a critical line from clumsy experiments into genuinely reliable assistants. When your tools actually work without constant babysitting, everything changes about how you create software.

Developer Simon Willison suggests the best response to these breakthroughs is to "be more ambitious" with your projects. Instead of holding back because you lack a traditional computer science background, modern coding agents make it practical to spin up multiple ideas, test prototypes rapidly, and tackle software challenges that used to require entire engineering teams.

If you are just getting started, this shift is great news. You do not need to memorize every syntax rule before you start making things. By pairing up with modern AI tools and testing their limits through hands-on experiments, you can turn your ideas into working software faster than ever before.