LLMs make hard languages easier to choose
A useful framing for why agents may push more people toward fast, small, systems-heavy software rather than only making existing workflows cheaper.
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Logged at IST: 2026-08-23 11:13 IST
What it is: Armin Ronacher's short post on how LLMs change language and technology choices when starting new projects.
Gist: Ronacher's point is not that programming is solved. It is that the cost of becoming productive in an unfamiliar language has dropped enough that old language-choice friction matters less. If an agent can draft, translate, and optimize code in a language I barely know, I can choose more for project identity, performance goals, and the promise of small, fast software.
That changes which technologies feel approachable. Rust and Zig benefit because they already sell speed, explicitness, and control, and the same pattern extends into harder systems areas like DWARF, eBPF, custom drivers, crypto, and old hardware. Agents do not remove the need for expertise, but they make it easier to start and to keep pressure on performance without knowing every trick upfront.
The useful optimistic read: LLMs may create plenty of slop, but they may also expand the set of developers willing to try hard, fast, low-level work.
Newsletter angle: Good agent/developer-tools item: LLMs are shifting language choice from “what can I personally ramp on safely?” toward “what properties do I want this project to have?”