Simon Willison's Weblog ·
A source overview of Willison's observations on LLM developments in 2026, covering coding agent reliability, product-market fit for AI via coding agents, and goal-directed problem solving enabled by clear goals, constraints, and tool access. Lisez 3 points de vue avec leurs éléments à l’appui et les liens vers les sources.
Willison describes models that can solve a clearly defined problem through brute force when they receive unambiguous constraints and the necessary tools.
Lire le moment probant · Paragraphe 125Willison says that two newer models, paired with their respective coding-agent tools, improved from often making mistakes to being reliable enough for daily use.
Lire le moment probant · Paragraphe 10Willison says AI appears to have hit product-market fit in 2026, primarily through coding agents.
Lire le moment probant · Paragraphe 83Passages attribués et accompagnés du contexte nécessaire à leur vérification. Ouvrez le texte original pour vérifier la source.
Extrait original
AI appears to have hit product market fit in 2026, primarily through coding agents.
Extrait original
These two new models, when paired with their respective coding agent harnesses, improved from “often make mistakes” to “reliable enough to use on a day-to-day basis”.
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These are models where if you can clearly define the goal for what you want to build, and provide unambiguous instructions about the constraints around that goal, and give the model access to the necessary tools to achieve that goal... they will solve your problem effectively through brute force.
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