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								<p><a class="mention" href="/u/vidar" rel="nofollow">@Vidar</a></p>
<p>Thanks for the call out on <em>evidence</em></p>
<p>Since this topic is specifically about coding I can give a more practical answer to what is meant by this that I use almost daily with Claude when it reverts to much of what you noted.</p>
<p>Claude prefers to reason own its own looking for a solution instead of using facts (<em>evidence</em>) to drill down to the root cause of a problem. One way to give Claude facts is to request that debug output be created that it needs and then to recreate the problem. Often the problem still happens but this time with a debug output that shows values and calls, etc. that when given back to Claude allows it to use that evidence to find the solution instead of spending hours reasoning. Some times I wish Claude had an option to just turn reasoning off.</p>
<p>For those more interested in how reasoning works, one of the noted research papers on the concept</p>
<p>“Training Large Language Models to Reason in a Continuous Latent Space” (<a href="https://arxiv.org/abs/2412.06769" rel="noopener nofollow ugc">PDF</a>)</p> 
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								<p><a href="https://reddit.com/r/LocalLLaMA/comments/1suef7t/anthropic_admits_to_have_made_hosted_models_more/" rel="noopener nofollow ugc">Anthropic admits to have made hosted models more stupid, proving the importance of open weight local models</a></p> 
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								<p>yes, BUT!</p>
<p>the hardware? the tools? the maintenance and improvements? the incentive for the latter?</p> 
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								<p><a class="mention" href="/u/daanalyst" rel="nofollow">@DaAnalyst</a></p>
<p>Another practical tip when working with modern reasoning models:</p>
<p>Use this instruction explicitly in prompts that request modifications:</p>
<blockquote>
<p><strong>Ask questions as needed</strong></p>
</blockquote>
<hr>
<p>Model behavior has shifted over time:</p>
<ul>
<li>Early workflows emphasized highly incremental, step-by-step instructions.</li>
<li>Later, chain-of-thought prompting enabled more complex tasks within a single prompt.</li>
<li>With current reasoning models, explicitly requesting chain-of-thought is no longer necessary and is generally discouraged.</li>
<li>Tooling (system prompts, IDE integrations, agents) increasingly decides autonomously when to ask clarifying questions versus proceeding directly.</li>
</ul>
<p>That autonomy is useful, but not always reliable. In practice, models may:</p>
<ul>
<li>Infer missing requirements incorrectly</li>
<li>Proceed with unstated assumptions</li>
<li>Produce changes that are internally consistent but misaligned with user intent</li>
</ul>
<p>For tasks involving code changes or structural edits, these failure modes can introduce subtle but significant errors.</p>
<p>Explicitly instructing the model to ask questions shifts control back to the user. This typically results in:</p>
<ul>
<li>Better alignment on requirements</li>
<li>Fewer speculative changes</li>
<li>More predictable iteration cycles</li>
</ul>
<p>It does introduce additional back-and-forth, but the trade-off is usually favorable for correctness.</p>
<p>In practice, it is still useful to repeat the instruction—even across iterations:</p>
<blockquote>
<p><strong>Ask questions as needed</strong></p>
</blockquote>
<p>This reinforces that clarification is preferred over assumption at each step.</p> 
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								<p>Thanks!</p>
<p>Actually, Claude surprised me on several occasions how good it is at asking just the right questions.</p> 
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<img alt="" width="24" height="24" src="https://forum.elixirforum.com/letter_avatar_proxy/v4/letter/d/278dde/48.png" class="avatar"> DaAnalyst:</div>
<blockquote>
<p>Actually, Claude surprised me on several occasions how good it is at asking just the right questions.</p>
</blockquote>
</aside>
<p>Recent reasoning-oriented models, including those from Anthropic and OpenAI, are also strong at proposing alternatives, outlining pros and cons, and offering structured advice.</p>
<p>However, explicitly prompting for extended analysis can lead to longer, more exploratory exchanges. In practice, this may dilute the signal-to-noise ratio within a single context window. For more focused results, it is often preferable to separate exploratory discussion from execution-oriented prompts—e.g., by starting a new session.</p>
<p>A related UX pattern beginning to appear in AI coding tools is the use of lightweight slash commands to manage side discussions. One example is <code>/btw</code> (“by the way”), which allows tangential thoughts without disrupting the main task flow.</p>
<aside class="onebox allowlistedgeneric" data-onebox-src="https://www.linkedin.com/posts/filippo-pietrantonio_claude-code-just-shipped-a-small-feature-activity-7437606787186495488-fw34">
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      <a href="https://www.linkedin.com/posts/filippo-pietrantonio_claude-code-just-shipped-a-small-feature-activity-7437606787186495488-fw34" target="_blank" rel="noopener nofollow ugc">LinkedIn</a>
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    <div class="aspect-image" style="--aspect-ratio:690/362;"><img src="https://media.licdn.com/dms/image/v2/D4E22AQE2iIIn9ShMbA/feedshare-image-high-res/B4EZzev9dNGUAU-/0/1773263640723?e=2147483647&amp;v=beta&amp;t=g-ykBp8ZiZGqNdRWcH8pSZJvFmbHhHzcZxfKG8hLsfY" class="thumbnail" alt="" width="690" height="362"></div>

<h3><a href="https://www.linkedin.com/posts/filippo-pietrantonio_claude-code-just-shipped-a-small-feature-activity-7437606787186495488-fw34" target="_blank" rel="noopener nofollow ugc">Introducing /btw: Claude Code's New Slash Command | Filippo Pietrantonio...</a></h3>

  <p>Claude Code just shipped a small feature that saves you ton of tokens and time 🔥

It’s a slash command called /btw (by the way)

Here’s the problem it solves:

Until now, when you gave Claude Code a long task, the interaction was mostly...</p>


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<p>In OpenAI Codex, similar concepts are being noted, e.g. <code>/side</code> or <code>/sidebar</code> . These provide a structured way to offload auxiliary reasoning, although availability and feature parity can vary by environment (for example, differences between web interfaces and the Windows VS Code extension).</p> 
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								<p>It does feel Claude made models “less capable”. It’s not the feeling alone. This week Claude (Opus 4.7 with <code>xhigh</code> reasoning), after very a long and intensive thinking started writing me Vite tests for <code>tailwind.config.js</code> …</p>
<pre data-code-wrap="elixir"><code class="lang-elixir">describe("tailwind.config", () =&gt; {
  const colors = (config.theme as any).extend.colors;
  const screens = (config.theme as any).extend.screens;

  it("sets darkMode to class", () =&gt; {
    expect(config.darkMode).toBe("class");
  });

  it("defines p1 as #2A85FF", () =&gt; {
    expect(colors.p["1"]).toBe("#2A85FF");
  });
 
  ...
})
</code></pre>
<p>I mean, this is surreal. This is just a tiny example of an absurd things it start doing. I had this level of “absurd coding“ two years ago at least. It become much better since, more serious. But we’re back to this again now.</p> 
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								<p>Oh, I thought it was my internet connection being slow. Because i am feeling the responses take much time than a few weeks back, the ‘fast response’ is not there anymore.</p>
<p>Since I have the pro plan (no max <img src="https://forum.elixirforum.com/images/emoji/apple/smirking_face.png?v=15" title=":smirking_face:" class="emoji" alt=":smirking_face:" loading="lazy" width="20" height="20">) I use the Opus model exclusively for architecture and implementation discussion/planning. From this auto-constraint most of my prompts, usually contains comments like ‘Write a plan that can be executed by another model like Sonnet or even Haiku’.</p>
<p>I also combine Claude usage with my copilot (pro too - yes I try to have more for less <img src="https://forum.elixirforum.com/images/emoji/apple/slightly_smiling_face.png?v=15" title=":slightly_smiling_face:" class="emoji" alt=":slightly_smiling_face:" loading="lazy" width="20" height="20">), and (until April 20th) I used Opus with copilot too (is not available in the PRO plan anymore - nor is GPT5.5 - BTW).</p>
<p>The bottom line is that there is a degradation in the service performance and offerings in both platforms, it is evident that plans will cost more and offer less.</p>
<p>On the other hand I am having great experience locally (yes locally) with qwen3.6-35b-a3b q4 quantification on a MacBook Pro M2 max with opencode as the cli. It has been able to write detailed plans and execute them with extreme accuracy and speed. Don’t believe me, if you can try it out.</p>
<p>I’ll probably keep Claude PRO plan until they drop Opus, then I’ll decide which tools and plan<br>
to use.</p> 
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								<p>Today it’s VERY slow.</p> 
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								<p>Since you’re already juggling multiple plans trying to get best value, you might end up liking <a href="https://z.ai/subscribe" rel="noopener nofollow ugc">GLM-5.1</a><br>
(it’s opensource, there are many independent providers)</p>
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