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. Lee 3 puntos de vista con sus evidencias y enlaces a las fuentes.
Willison describes models that can solve a clearly defined problem through brute force when they receive unambiguous constraints and the necessary tools.
Ver el momento de apoyo · Párrafo 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.
Ver el momento de apoyo · Párrafo 10Willison says AI appears to have hit product-market fit in 2026, primarily through coding agents.
Ver el momento de apoyo · Párrafo 83Pasajes atribuidos con contexto para verificarlos. Abra el texto original para comprobar la fuente.
Extracto original
AI appears to have hit product market fit in 2026, primarily through coding agents.
Extracto 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.
Estas perspectivas enlazan a sus fuentes originales. Las paráfrasis están identificadas y no son citas textuales.
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