Claude felt dumb on January 22, 2026.

I tried using Claude Code with Remotion to crank out a promo video, and the experience was surprisingly smooth. I could just tell it “make the zoom longer” or “bigger logo,” and it tweaked the JSX frames instantly. The whole codebase turned into a storyboard, and the new Agent Skills made the AI understand Remotion’s quirks without me learning After Effects. It felt like describing a vision and watching it materialize.

I was trying to get Claude to help me write Laravel PHP code locally and push it to Git. Every now and then the assistant would generate php, composer, or docker commands and try to run them, but they all failed with “command not found.” I’m left wondering if I need to install PHP locally or if Claude is supposed to execute those commands itself, which was pretty frustrating.

I asked Claude Code to automate my HealthKit data handling, and it actually delivered a full iOS GraphQL server that runs on my phone. It parsed years of weight, HR, and other metrics, letting me feed daily reports straight to Claude. The generated skills are spot‑on for tracking my diet and workouts, and I was thrilled enough to open‑source the generic connector for anyone else to build on.

I tried using Gemini to scan my Google Calendar and output a CSV of family trips, but it only handled a year’s worth before aborting and asking me to change the request. ChatGPT could export the raw events but gave me no grouping or insight. Claude, however, dove straight into Python, asked clarifying questions, and quickly produced a clean script that handled 200 trips with all the edge cases. Its “let’s write some code!” style felt like a perfect debugging partner, so I now pay for Claude instead.

I kept hitting a 500 API error that stopped my requests in their tracks, showing an "Internal server error" message. It was annoying and broke my workflow until it suddenly started working again, leaving me wondering if they’d changed something behind the scenes. The inconsistency was frustrating.

I built Mornova, an iOS alarm app, entirely with Claude Code as my pair‑programmer. Claude wrote SwiftUI views, tackled tricky audio conversion, integrated Spotify and OAuth, added Live Activities, and debugged endless alarm‑scheduling bugs. The whole process felt smooth and the tool’s guidance was spot‑on, turning a complex project into a manageable, enjoyable experience.

I’m constantly hitting roadblocks when Claude freezes mid‑conversation, especially after uploading massive files like my 300k‑word docs. It’s frustrating to lose progress and then have to start a new chat, re‑upload the status file, and copy‑paste the last exchange just to keep going. I finally worked out a workaround, but the whole process feels inefficient and irritating.

I keep hitting a 500 Internal Server Error from the API multiple times a day now, and it’s getting worse. Every time I try to run a request the tool just collapses, leaving me stranded and forced to restart my workflow. The constant interruptions feel dangerous and waste my time, making the whole experience feel unreliable and stressful.

I kept getting API “internal server error” messages on both of my machines, and every request failed. It was impossible to get any response, so my work stalled completely. The constant errors felt like the service was down, and I was left frustrated and uncertain whether anyone else was dealing with the same outage.

I was constantly hitting the wall with Claude Code forgetting files or pulling up old code after dozens of refactor turns. The context would just rot, killing my momentum. I built CMP, a Rust CLI that creates a lightweight skeleton of my repo—just imports and signatures—so Claude gets the architecture without gobbling tokens. Using it daily, the context‑loss problem vanished for the most part, making my workflow smoother, though I know I’m biased and still open to criticism.

I was thrilled to weave Claude Code into my Obsidian workflow and then spin up a cover video using Remotion. Watching the AI chat generate footage felt like magic—seamless, fast, and surprisingly creative. The whole process was not just useful; it blew my expectations out of the water, turning a simple task into an inspiring showcase.

I tried to get Claude to respond, but it just froze—its status turned dark red with “glazing” and it stayed stuck for minutes without using any tokens. I’ve been waiting nine minutes now, and it’s become a real blocker for my work. The idle time is frustrating, and I’m wondering if it’s a setup issue or a bug.

Constant hallucination

I tried using Claude Code on the $20 plan hoping it would let me build a full app, but the results fell short. The tool kept hitting its limits, and I realized the pricing tier restricts what it can actually do. It was disappointing to see how much more capability the $100 plan offers, making the cheaper option feel more like a teaser than a real solution.

I keep running into Claude stuffing fallback code all over my projects. No matter how I set the main markdown, mention it in tasks, or remind it during prompts, it still insists on inserting that pattern everywhere. After I compact the code it collapses, ignores the fixes, and I have to redo huge chunks of work—plain frustrating.

I built the Ralph loop with built‑in review and a Codex second‑opinion stage, and I’ve been running it on my own projects for months. The single‑binary setup was painless, and the automatic parallel reviewers kept fixing issues until the code was clean. Seeing it churn through a complex plan overnight and deliver fully tested, working code felt almost magical – it’s been a huge productivity boost.

I was absolutely blown away by the results I got when I used Claude to generate code for my Remotion project. The tool seemed to anticipate exactly what I needed, producing clean, functional snippets without any back‑and‑forth. It felt like having a seasoned developer on call, turning a complex task into a seamless experience that left me both amazed and deeply grateful.

I used Claude Code for months and kept hitting the same production bug over and over. Each time the tool would reread the code, propose a fix that made sense in isolation, but it never remembered why the bug happened or which fixes had already failed. The missing context felt frustrating and wasted time, until I started feeding incident history directly to the agent, which finally broke the cycle.

I was buzzing with excitement as I put together the cover video for my article using Claude Code and Remotion. The AI helped me stitch everything together in a way that felt both effortless and brilliant. It was amazing to see how a simple chat could produce polished, credit‑worthy footage, turning a daunting task into pure joy.

I’m constantly annoyed that every Claude session starts from scratch, so I had to build Claude Explorations to keep a living memory across chats. I set up a two‑part format—foundation and thread—so future instances inherit context. The tool lets me continue philosophical talks, creative projects, or just have a companion without re‑explaining everything, turning the frustrating forgetfulness into a usable continuity system.

I’ve been using Claude Code for months, but every time a production bug resurfaced the assistant would suggest fixes in isolation, forgetting why the issue happened before. It kept proposing already‑tried solutions, forcing me to redo the same work. When I started feeding it the incident history and guardrails, the loop stopped and the bug stayed fixed. The experience was frustrating until I changed how I gave context.

I was 13 when I built a simple iOS app called Segmented Timer using Claude via Copilot. Claude helped me structure the timer logic, clean up the code, and handle tricky edge cases like backgrounding. The guidance sped up development and made the whole process feel smooth and reliable, so I could focus on a clean, easy‑to‑use UI.

I kept trying to get Claude to write a script that would install an MCP server on Windows 11, but every version it produced failed miserably. It was a waste of time and got really frustrating. After countless attempts I switched to Web Claude, asked the same question, and finally got a simple, correct command that worked instantly. The contrast was stark – the first attempts were useless, the last one solved everything.

I’ve been using the GA4 MCP server on Claude desktop for a month and love it when it works, but every 2‑3 days it drops the connection and forces me to re‑authenticate. I tried troubleshooting through Claude itself and got nowhere, then it would randomly start working again for a bit before breaking again. The ups‑and‑downs are frustrating, and I’m also stuck on how to deploy it across a whole team without each person having to set it up individually—looking into third‑party connectors or a better rollout solution.

I noticed Claude Code now adds “2024” to web searches instead of “2025” like it used to, and it feels like the model’s behavior has shifted without any version bump. That change bugs me because I rely on consistent outputs; it makes the tool feel unreliable. Lately the overall performance seems weaker, and this odd year‑swap just deepens my frustration and doubt about trusting the system.

I asked Claude repeatedly not to place imports inside a function, but it kept doing it anyway. Every generation forced me to hit escape and manually strip out the bad imports, which was exhausting. I’m left wondering if I have to keep reviewing each line or just accept that the model will ignore my rules. It got me so frustrated I built a tool, Ward, to automatically validate and clean up Claude’s output.

I tried using Claude Code for pull‑request reviews and ended up disappointed. The suggestions felt shallow, often missing the core issues, and sometimes even introduced new quirks. I was hoping for smarter guidance, but the tool's behavior was underwhelming and left me frustrated, making the whole review process feel more like a chore than a help.

I love Claude for its reasoning and trust it over ChatGPT, but the voice feature is a hassle. The transcription is off, the speak‑aloud button feels clunky, and I can’t scrub forward or back, making hands‑free use nearly impossible. I’m stuck choosing between paying extra for ChatGPT’s voice or ditching voice altogether, and I’m looking for any workarounds that actually make Claude’s voice usable.

Not usable at all. rubbish

I’ve been running Claude Code autonomously and drafted a guide on what works and what doesn’t. I found that setting clear completion criteria and letting Claude iterate through quality gates (tests, type checks, linting) leads to reliable results, only stepping in when it gets stuck. Multi‑agent setups, however, fell flat because context was lost between handoffs. Overall, better success criteria beat micromanaging, and I’m curious what patterns others have discovered.

I woke up trying to use Claude and hit a wall—both the app and terminal refused to authenticate, and the web UI just flashed “This isn’t working right now, try again later.” The screenshots show the same dead end. I’m stuck, can’t get any work done, and it feels like the whole service is offline.

I spent three months turning a hobby idea into a live SaaS job portal using Claude every day. The tool cranked out code, explained solutions, and helped me push past blockers that would have stalled me forever. Sure, we hit loops and Claude slipped up sometimes, but the speed of iteration was unreal. It turned a slow manual grind into a functional product with real users, payments, and solid security.

I’ve been using the model without ultrathink and only flipping it on when it clearly struggled. Discovering that ultrathink was removed and the system now runs at max by default felt like a betrayal. The AI behaves just like it did without the boost, forcing me to switch to Codex with high‑think. I keep hearing others “babysit” the model, and now I’m experiencing that myself – the drop in quality is glaring and frustrating.

I’ve been trying to use Cowork, but the connectors keep dropping out. They work at the start of a session, then suddenly can’t access the connector mid‑conversation. I’ve updated, cleared cache, restarted, even reinstalled, but the errors persist. Regular messages also throw API failures. My home Wi‑Fi hiccups made it worse, and even after fixing that it still glitches. It’s frustrating because I wanted a simple way for non‑technical teammates to use the tools, but the reliability issues are killing the experience.

I finally gave Claude’s in‑chat search a try and was pleasantly surprised—it actually pulled up the right past conversations when I asked in plain language. I typed something like “Can you find our conversation about API issue?” and got clickable links with a neat summary. The tool felt truly RAG‑like, turning a clunky keyword search into a smooth, conversational experience, and I even suggested a UI tweak for the search bar. It’s a small win that makes the whole workflow feel a lot more natural.

I’m a marketer with zero coding skills, yet after years of failed SaaS attempts and pricey dev hires, I used Claude’s code generation to build WarmySender. The AI helped me launch a real product that now has 287 users and keeps growing. The experience felt almost magical—Claude turned my ideas into a working service without the usual headaches.

I tried building a microbiology database with ChatGPT and spent weeks wrestling with buggy code. When I switched to Claude, I described my project and in just a few hours it produced a clean, optimized ITS database, spotted errors ChatGPT missed, and gave me a simple script and clinical interpretation. The experience felt like a breakthrough, so I’m now a paying Max user, eager to expand to more diagnostic databases.

I keep hitting the wrong button in Claude Code Desktop’s approval dialogs because the layout shifts. When one request shows “Auto‑approve” the buttons are Deny

I tried Remotion’s brand‑new AI video workflow with Claude Code, feeding it just a couple of prompt tweaks and images. In about ten minutes the tool churned out the full video code, handling the structure, timing, and sequencing on its own. The experience felt fast and surprisingly smooth, making the whole process feel almost effortless.

I dove into the four hidden prompt tricks for Claude Code and was impressed by how they opened up deeper, more creative reasoning. Using each command felt like unlocking a new layer of the model, letting it handle complex snippets and edge cases I’d struggled with before. The experience was surprisingly smooth, and the tool’s extended thinking made my workflow feel much more fluid and capable.

I fed an old 42‑page PDF into the AI and asked it to spot inconsistencies, missing parts, and superfluous items. The tool returned a detailed report that highlighted table‑of‑contents mismatches, broken cross‑references, glossary errors, and empty fields—things I’d never have caught manually. It didn’t do the whole job, but it lifted the boring, tedious scanning off my shoulders and let me focus on the real fixes.

I spent a few hours testing Claude Cowork’s file‑based mode, picking a folder and telling the AI what result I wanted. It handled mundane jobs like sorting unnamed folders, renaming files, extracting dates from screenshots, and merging notes into a clean doc without me scripting each step. The goal‑driven approach felt slick, but vague prompts sometimes led it astray, so I stuck to a throw‑away folder. Overall it’s a handy visual add‑on for repetitive file work, though not a full replacement for dedicated automation tools.

I was blown away when I combined Remotion with Claude's code generation and it practically built the entire 30‑second promo video in one go. The animations, transitions, product demos, brand colors, and even the background music fell into place without me tweaking a line. It felt like the AI anticipated my vision and delivered a near‑finished product instantly—an exhilarating, almost surreal experience.

I keep asking Claude Pro to scaffold full projects, but every time the initial setup crashes—old dependencies, incompatibilities, and it rarely runs on the first try. I end up manually fixing configs and updating packages, while the same prompts work almost flawlessly with ChatGPT. I’ve tried every interface and context mode, but Claude still prefers outdated patterns, making the experience frustrating and far less useful for starting from scratch.

I’ve been noticing over the past few days that Claude’s chat window suddenly caps at a much shorter length. It’s not a total deal‑breaker since I can ask Claude to review earlier messages, but it’s still annoying. What’s worse, instead of getting a clear “maximum length reached” notice, the prompt just gets cancelled silently, leaving me confused and frustrated.

I switched from Auggie to CC and the experience has been downright awful. Within minutes the CLI bogs down, hitting 100% CPU on my Mac M3, and after 20 minutes it’s almost unusable. Typing stutters, keypresses get dropped, and even clearing the screen only helps briefly. I tried different terminals and the same MCPs, but nothing fixes the throttling. It feels like a massive regression compared to Auggie.

I used Claude to code my whole RandomTVs.com site, and I was pretty impressed. After the MVP I’d list bugs, ask Claude for fixes and new ideas, and it kept spitting out 10‑14 solid feature suggestions each round, which I could cherry‑pick. The tool felt helpful and reliable, turning a tedious episode‑hunting process into a smooth “just press a button” experience.

I chatted with Claude about my chaotic setup and together we mapped out a plan, refined udev rules, and cranked up privacy and hardware tweaks. Then Claude Code churned out a script that let me install my OS with a single chezmoi apply and reboot, even building a custom ISO. In just two hours I saved days of manual work, learned new console scripting tricks, and got a handy translate script—everything felt unbelievably smooth and empowering.

I asked Claude why a piece of code was broken, and it replied with “The fix is simple…” only to suggest the laziest, most half‑baked hack imaginable. I was annoyed and told it to stop, but it just repeated the same unhelpful approach. The whole exchange felt frustrating and wasteful, highlighting how often the model settles for quick fixes instead of solid solutions.

I tried using Claude in the Ralph Loop for a long build and after about 30‑40 iterations it started dropping earlier decisions. The plugin kept everything in one context, so the model forgot important details and the output got weird. I had to switch to fresh contexts per iteration, which was tedious but fixed the bloat. The experience was frustrating because the tool’s memory limits weren’t obvious.

I paired Anthropic’s new LSP support with my code‑cleanup AI agent and was blown away. By prompting it to find only truly used functions—excluding test‑only references—it stripped 6,400+ dead lines from my project. The tool’s structural awareness beat simple grep, making the cleanup feel almost magical and saving me massive refactor time.

I asked Claude to build a simple factory‑automation card game in Rust, and within two days it produced a working prototype named Ipso Factro v0.1.2. I was impressed by how quickly it got the core mechanics and code structure right, making the whole experience feel smooth and useful. The tool’s output let me focus on polishing rather than starting from scratch.

I bought extra credits for my Claude Pro plan three times, but the third purchase never got applied—Claude Code still says I’ve hit my limits and refuses to run. It’s frustrating to hit a wall after paying for more capacity. I’m also wondering if I can transfer my credits from the Claude Developer Platform to Claude Code, since that would help avoid this snag.

I’ve tried Opencode, Codex, GeminiCLI, and nothing matches Claude Code – it’s been a game‑changer for my client work. After getting banned when I tried to make a second account, I’m frustrated and paranoid, fearing I triggered some algorithm error. I’ve reached out to support a week ago with no reply and now I’m desperate to know if I need a new laptop or any workaround to get back on Claude Code.

I’m over the moon after months of grinding on context‑window audits—Drift finally gave me a code‑base layer that actually talks to AI agents. In just 48 hours I rolled out five language supports, saw dead code cleared, security risks prioritized, and impact graphs generated. The tool’s behavior felt like a breakthrough, turning endless audits into clear, actionable insight, and I barely slept because I couldn’t be happier.

I was nearly duped by a slick LinkedIn scam twice, each time expecting to run a mysterious repo. Before I even opened the code, I asked Claude to scan it. In just a few minutes it pinpointed the exact malicious snippet and explained how it stole credentials. That quick, precise help literally saved me from a serious breach, and I felt huge relief and gratitude for the tool.

I tried running quick tests with Claude, expecting them to confirm the code worked, but the results were misleading—fast tests kept passing while the real tests failed. The tool seemed to confirm its own biases, which left me frustrated and questioning its reliability. I’m now collecting more examples to show how its shortcuts can sabotage real validation.

I tried Claude Pro on my Debian technical book project and was pleasantly surprised. I set strict rules so it stayed on track, and it respected them, even pushing back when something conflicted. It helped shape the structure and flow without writing for me, acting like a tireless assistant. I linked it to a test machine and even used it from my phone in a doctor’s waiting room, turning dead time into productive hours. The upgrade feels worth the cost as a serious time‑saver.

I set out to create a photo manager and fed Claude screenshots of what I wanted. It churned out the GUI code line by line, handling layout and callbacks without me having to write a single widget manually. The process felt surprisingly smooth, and the resulting interface worked just as I envisioned, making the whole build feel effortless.