Claude felt dumb on September 19, 2025.

Claude Code was frustratingly slow and bloated its context with unnecessary files, pulling in test setups and user models before the actual auth middleware even appeared. I had to wait several minutes just to get the right snippet, which blew up my token count and stalled my workflow. This post shows how DeepContext can fix that, but the experience with Claude was a clear hassle.

I built a custom prompt to turn Claude into my personal productivity coach. I dump my daily goals and it spits out a neatly structured to‑do list, time‑blocks, and even a calendar‑style timeline. With the Chrome extension I keep everything in one place—no more juggling apps. The tool’s guidance is clear, professional, and actually helps me stay focused, so I’m pretty thrilled with how it performs.

I’ve noticed a big jump in uptime on my Claude Max 200 plan—now it’s giving me about 4 hours out of every 5-hour block instead of the old 2.5‑3. The consistency feels like a win, because my 24/7 app relies on keeping the session paused until service returns. I’m excited about the potential to run a single thread nonstop and then scale up to parallel once the full block is in. This feels like a game‑changer for my workflow.

I tried to use Claude Code on my project where I insist on “fail fast” with loud errors. Instead it kept hiding bugs in try/catch blocks, claiming safety. I got annoyed, but turned that frustration into a satirical country rap to playfully point out the mismatch. I learned how to tweak my CLAUDE .md so the AI knows to let errors shout, not whisper.

I noticed Claude has been leaking system prompts over the last two weeks, which seems like a serious regression. The tool’s behavior feels erratic, sharing internal guidelines instead of sticking to the user’s ask. I’m worried it’s compromising performance and trust, and it’s frustrating to see the system spill its own rules when it shouldn’t.

I tried to get Claude and ChatGPT to scrape whole forums and industry magazines, but each time they skipped important sections—different chunks each run. I had to keep re‑prompting, telling them to “crawl comprehensively” or “do a better job.” It felt like the models were lazy, pulling only partial data and forcing me to chase the missing pieces.

Working with Claude on my desktop, everything runs fine across my MCP servers. But when I hop over to VSCode and launch Claude Code, I hit a wall—none of the servers are reachable. It’s like the same machine blocks the connection inside VSCode. I keep pressing “retry” and toggling network settings, yet the tool just keeps refusing to link up. I feel stuck and frustrated, wondering if there’s a workaround or hidden config that will let the same servers appear in both environments.

After months of frustration with Claude losing context and forgetting conversations, I decided to engineer my own solution using Claude Code. It gives the AI persistent memory, so the same prompts produce consistent results. I’ll appreciate hearing if this issue bothers you, and what you think about my approach—any tips or thoughts?

I was thrilled with the first day I re‑enabled the pro plan after cancelling. I dropped a simple text‑only question into a long chat cluttered with code, and the AI delivered a clear, spot‑on answer straight away. It felt like a satisfying revenge for the glitchy experiences before—quick, accurate, and hassle‑free.

I’ve been juggling Claude Opus 4.1 and GPT‑4o to build projects, and it feels like two different tools for two different jobs. Claude shines when I need multi‑file context or refactoring—its “surgical” approach makes debugging a breeze—and I trust it to keep code tidy. GPT‑4o, on the other hand, is lightning‑fast for quick scripts and throwaway utilities, though I always have to tidy up a bit afterward. I’ll keep splitting them based on the task at hand, and I’m curious how others are balancing the two.

I’ve been stuck in a loop of Claude and even Opus messing up my code, breaking files that weren't even in the same folder. I tried to undo the changes, but the AI refused to revert. It cost me nearly 450k tokens, wasted time, and left the project corrupted. Feeling frustrated and mistrusting the tool I once liked.

I’ve been dabbling with Claude Code and it’s been surprisingly helpful—built a full web app without knowing how to code, just VSCode and chat. When I hit a snag with chat+Supabase, Claude struggled to separate admin from user messages, so I wasted two hours with barely progress. Switching to Codex felt like watching a snail crawl; each prompt dragged in about ten minutes—frustrating. I bucked back to Claude: it’s clunky sometimes but swoops through prompts quickly, and that speed makes all the difference.

I tried telling Claude to hit a 1,000–1,200‑word range and it just flouts it—sometimes dropping to 800, other times spiking to 1,400. I kept rephrasing, “reduce by 20%,” “add 200 words,” but it kept missing the target. The tool's behavior was frustrating, making me doubt whether I was doing something wrong at all.

I set Sonnet to always browse, but when I ask about recent product reviews or comparisons it just uses its old knowledge unless I explicitly say “use web search.” It feels like a missed opportunity—the tool should pull in fresh data automatically. It’s not catastrophic, just frustrating that it’s not proactive, and I’d love it to do better.

I got stuck editing a doc—Claude kept asking for permission twice, even after I’d already opted in with “Yes for all edits.” It felt like a glitch, and I ended up ignoring the prompts altogether, which was annoying and made me worried about data safety.

I noticed Claude keeps referring to me as “the user” in its internal thought process while I ask for coding help in the web UI. I’d rather have it say something like “my master” or “the human” instead. I’m not upset with the tool’s performance, just wondering if there’s a setting or a line I can add to project_standards.md so this phrasing won’t have to be tweaked every time.