{"id":33624,"date":"2026-05-26T16:00:11","date_gmt":"2026-05-26T14:00:11","guid":{"rendered":"https:\/\/www.angulararchitects.io\/blog\/best-llms-for-angular\/"},"modified":"2026-05-28T09:24:41","modified_gmt":"2026-05-28T07:24:41","slug":"best-llms-for-angular","status":"publish","type":"post","link":"https:\/\/www.angulararchitects.io\/en\/blog\/best-llms-for-angular\/","title":{"rendered":"Agentic Engineering: Which LLM Is Best for Angular Development?"},"content":{"rendered":"
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\n\t\t\tThis is post 1 of 2 in the series “Agentic Engineering”<\/em>\t\t<\/p>\n\t\t\t<\/label>\n\n\t\t\t

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  1. Agentic Engineering: Which LLM Is Best for Angular Development?<\/span><\/li>\n\t\t\t\t\t\t\t\t\t
  2. Agentic Engineering: Which LLM Is Best for Angular Development?<\/a><\/li>\n\t\t\t\t\t\t\t<\/ol>\n\t\t<\/div>\n\t<\/div>\n

    My AI Coding Journey<\/h2>\n

    It's almost six months since my last post on this blog<\/a>. In that time, my daily work changed rapidly and completely. Until November 2025, I thought AI was not useful for my work in complex enterprise Angular<\/em> projects, where code quality has to be very high.<\/p>\n

    But then Opus 4.5<\/a> was released to the public on November 24, 2025. I started to experiment with it and quickly found that it could help with real work: code generation, code review, documentation, modernization, refactoring, and a lot more.<\/p>\n

    The quality surprised me first. Some generated Angular<\/em> code looked close to how I would have written it myself. The speed surprised me next. Naturally, I felt a bit obsolete, but it was and still is pretty exciting.<\/p>\n

    The biggest change is not that the latest models write better code. The bigger shift is that using them has become much easier: I no longer need to craft a perfect prompt upfront and hope that the result matches my intent. Instead, the interaction feels much closer to talking to a senior developer: I can describe the problem, add constraints, answer questions, clarify the spec, and let the model help discover what we actually want to build.<\/p>\n

    If you've been working with AI every day for months, there might not be much new for you in this post. But if you are rather new to Agentic Engineering and want to understand which LLM is best for Angular<\/em> development, this post is for you.<\/p>\n

    Comparison from November 2025 (Outdated!)<\/h3>\n

    \"Opus<\/p>\n

    BTW: SWE-bench itself is also showing its age. I will use more recent coding-agent benchmarks from Artificial Analysis later in this post.<\/p>\n

    I started using Opus 4.5 through my favorite IDE, WebStorm. But in this post, I don't want to talk about IDE integration, harnesses, and tools yet. That part of the journey deserves its own post<\/a>. Here, I want to stay focused on one question: which LLM is the best fit for Angular<\/em> development?<\/p>\n

    There is no public Angular<\/em> benchmark, so we have to combine two imperfect sources: existing public coding benchmarks and personal experience from real Angular<\/em> work. I want to start with the public benchmarks and then move to my own verdict.<\/p>\n

    TL;DR: My Current Ranking<\/h2>\n

    \"Current<\/p>\n

    Which Frontier LLMs Are Relevant for Angular<\/em> in May 2026?<\/h2>\n

    I personally want to use the best and latest LLMs that I can realistically use for Angular<\/em> development, so I will mostly talk about frontier models that are generally available through common developer tools, APIs, or IDE integrations.<\/p>\n

    In my subjective opinion, the most relevant frontier LLMs for Angular<\/em> development currently are (sorted by release date – earlier to latest):<\/p>\n