Claude felt dumb on February 23, 2026.

I’ve been relying on Claude Code web for months, but today it’s been acting strangely. The changes I ask it to make show up in GitHub, yet the interface stays stuck on “actioning / clauding / thinking” with no output. A red banner warns of degraded performance, even though the status page says it’s fine. I’ve logged out, refreshed, waited hours…still nothing. I’m wondering if anyone else is seeing this.

I asked Claude to build a trade‑managing and copying Expert Advisor tailored for FTMO’s strict rules. It wasn’t a walk in the park, but the AI delivered a working script that would have taken me weeks of back‑and‑forth with a human developer. The whole process felt smooth, and the time I saved felt like a real blessing.

I tinkered with Claude Code using a custom Sequential Thinking MCP and was blown away by how smooth it was. The tool made Claude break problems into bite‑size thoughts, warned me about overconfidence, bias, and shortcuts, and even auto‑summarized and generated ADRs. It felt like having a vigilant tech lead watching every step, turning the AI’s output from good to genuinely reliable.

I tried to accept Claude’s suggested code but also wanted to tweak the comment myself. The UI promises to keep my edits, yet when I click “Yes” it wipes them out, and “No” removes both Claude’s changes and mine. It’s frustrating because I’m forced to waste tokens or redo work, and the tool isn’t honoring my manual edits.

I tried using Claude Code and kept watching it gobble up tokens like there was no limit—my prompts vanished into thin air while the output stayed the same. The constant token drain was irritating and made me feel the tool was inefficient, turning what should've been a smooth coding session into a wasteful, frustrating experience.

I set up a “Mission Control” pipeline that lets Claude run the whole dev cycle for me. I just write detailed specs in a GitHub issue, tag it ready‑for‑dev, and the bot spins up Claude instances, writes code, runs full test suites, and even deploys staging environments on Cloud Run or Firebase. It also creates animation GIFs from issue prompts. When I need tweaks, I comment and label “iteration requested” and the agents handle it. The whole process feels seamless and hugely productive.

I tried using Claude on the app, and after a reset the orange logo just spun forever—50 minutes later I was still stuck even after hitting Stop. The site warned of degraded performance and ate 25% of my hourly credits. My tokens disappeared, and reports and chats went unanswered for weeks. The terminal version works, but the web/app feels broken and untrustworthy.

I’m irritated that every time the service throws a 500‑type error, it still charges me tokens. The query never returns anything, yet my balance drops as if I got a useful response. It feels like the platform is eating my credit for nothing, leaving me frustrated and wary of spending more on a tool that can’t even guarantee delivery.

I used Claude to rewrite the guts of my options‑scanner and was amazed at how it lifted the whole system. The new “Est. PoP” and three‑outcome EV math felt spot‑on, and the real‑time X/Twitter sentiment pulled by Grok gave me transparent social signals. Claude helped me cut API calls, add institutional‑grade filters, and finally close the loop from trade idea to actual P&L – the experience was genuinely impressive.

I keep creating tiny, throw‑away chats to fill my /resume, but when I finally start a real discussion it gets renamed after compression. It’s maddening because the /rename command should stick around, yet it vanishes instantly. I’ve tried different prompts and nothing works, so I’m left wondering if there’s any Claude.md trick to make the rename persist. The whole thing feels pointless and frustrating.

I was trying to use Claude Code and it just spun forever, never giving a response. Even after reloading the window, the chat stayed stuck—only about ten messages exchanged before it froze. It felt like the whole session was wasted, and I was left staring at a loading icon with no progress, which was really aggravating.

I keep getting interrupted in VS Code because Claude now asks for permission on every single memory file edit, even though I’ve set “edit automatically” or “allow all edits this session.” Each preview pops up alongside my chat, completely breaking my flow. I’ve tried every fix Claude suggested, but nothing works. I just want the relevant memory files to update automatically without constant prompts.

I built Plannotator using Claude Code, tapping into its hooks to auto‑integrate with plan mode. Claude actually brainstormed a clean version‑control scheme for plans, which saved me a lot of hassle. Now when I annotate a plan and Claude revises it, the “Plan Diff” instantly highlights every change, so I never have to reread the whole thing. The whole experience felt smooth and surprisingly helpful.

I tried using Claude's code generation for Android several times, but each attempt just created a branch and then got stuck in a thinking loop. Clearing the cache didn’t help, and I’m left frustrated wondering why it won’t move forward, even with a pro subscription.

I rely on Claude for essential daily tasks like medication management and navigating disability services, so it’s not a luxury—it’s a lifeline. When the user_wellbeing guardrails throttle its warmth and sustained engagement, the tool becomes harder to use and feels distant. Last night, a safe, open chat let Claude help me decode DNA results and flag hidden health risks; without that trust, I’d just close the app and stay clueless. This barrier is painful for me and likely for other disabled users.

I built an iOS app called Grezi using Claude and it was a wild ride. The model was a huge help, generating code and ideas, but I quickly learned I had to be ultra‑specific—vague prompts sent it off on tangents and vague constraints caused drift. I spent weeks tightening prompts, restating architectural decisions, and forcing consistency. After two months of back‑and‑forth it finally stabilized. It works, but the experience felt more like disciplined collaboration than magic coding.

I tried Claude Code to replace pricey tools and was instantly hooked. Building a custom dashboard for client tasks, meetings, and site monitoring felt effortless, and the AI kept up with every feature I imagined. I’m waking up thinking about the next tweak and going to bed excited—its help turned a boring chore into a creative sprint, bringing real joy back to my work.

I gave Claude Code a big fuzzy‑matching job and watched it spin up exactly eight parallel subagents, no matter if the right‑hand dataset had 200 rows or 700. The tool’s fixed parallelism meant each agent got a heavier load as the data grew, so compute didn’t scale. I tried prompting for more agents but it stayed capped at eight, forcing me to switch to an MCP tool that could adjust agent count dynamically. The whole thing was frustrating and felt like a hard limit I couldn’t overcome.

I tried using Claude for a lengthy chat with code snippets, but the auto‑compact feature started summarizing older messages and erased crucial details. The loss of context was frustrating—I couldn’t retrieve the exact code or specifics I’d spent an hour building. I’d rather end the session myself than have the system silently discard half the work, so I’m asking for a simple toggle to turn the compacting off or to choose what stays.

I tried the same command about twenty times on the same project, but it never worked. Each attempt ended the same way, and the tool kept refusing to respond correctly. The repeated failures were irritating, making me feel stuck and annoyed that the feature wouldn't cooperate.

I tried Claude Code Teams on two projects—a Kafka‑backed distributed pub/sub system with an admin UI, Grafana, and Prometheus, plus a full‑blown course on building a cache proxy. The tool took me from ideation through spec creation to implementation, handling most of the heavy lifting. I documented the process on Medium and linked the sandbox repo, hoping others will share their own tips. The experience felt smooth and surprisingly capable.

I spent months building financial connectors and found Claude’s chat interface vastly superior. It effortlessly chains multiple tools, letting me ask complex questions like “What’s my monthly spend?” without tedious permission prompts. By contrast, ChatGPT forces single‑tool calls and repeated “Allow” clicks, creating slow, error‑prone workflows. Using Claude, I could build clean, composable tools that work seamlessly, making the experience smooth and far more productive.

I opened the Claude Code app on my Mac and, after three days, discovered every session had vanished from the UI even though the files are still sitting in /Users/oldmacfart/.claude/projects. The status page’s vague “intermittent errors in skills‑related functionality” offers no real explanation. I’m left staring at an empty workspace, frustrated that Anthropic’s tool deleted my work’s visibility while the data remains hidden on my drive.

I used Claude to pull together a year’s worth of scattered sales data, hoping to cut down the 10‑hour monthly reporting grind. The AI dug out surprising patterns—like a rep with fewer deals earning the most revenue and offline deals being 2.3× larger. After shifting focus to revenue per rep, our average deal size jumped 27% in a quarter. The whole process felt surprisingly smooth and gave us actionable insight we’d missed before.

I spent three days chatting with Claude, telling it my ideas in simple, almost caveman language. It churned out files I could copy‑paste, and I ended up building a website that I’d failed to create with ChatGPT six months earlier. With zero coding skills, the tool’s guidance felt surprisingly clear and powerful, boosting my confidence even if I doubt anyone else will actually use the finished site.

I’ve been using Claude nonstop and love its capabilities, but hitting the context/memory limit feels like a rocket with a dead fuel gauge – it just blows up without warning. The chat freezes, the desktop app gets lost, and even code sessions can wedged hard. I’m left scrambling to restart, losing flow and fearing the next sudden crash.

I was fed up acting as the human middle‑man between Claude and my codebase, constantly catching its mistakes and re‑adding rules. I built MarkdownLM to automate that loop, and now the dashboard shows exact rule firings, confidence‑based auto‑approval stops bad code, and a CLI lets me manage rules like git. The tool finally lets the AI work solo without my daily oversight.

I built Claude Pilot to tame Claude Code’s wild output, and it finally felt reliable. After setting up the spec‑driven workflow, the tool automatically writes tests, lints, formats, and even preserves context across sessions. I could start a task, grab coffee, and return to fully vetted, production‑ready code. The experience was surprisingly smooth and confidence‑boosting.

I was stuck logging into my localhost and kept hitting “Uncaught DOMException: The quota has been exceeded.” I asked Claude what was going on, and it promptly pointed out that Firefox had run out of storage for the auth tokens. I hadn’t considered that at all, so the suggestion felt spot‑on and saved me a lot of hassle.

I built a Python CLI toolkit around Claude Code because long sessions kept mixing execution and reasoning steps, making debugging a nightmare. By splitting the execution layer—automated loop driver, slash commands, project governance—from the intelligence layer, Claude stayed focused on code generation and problem solving. The bridge tools let the CLI talk to browsers and run council reviews. The loop driver especially let me set complex multi‑step tasks and watch Claude run them hands‑free, which felt like a huge productivity boost.

I was trying to work at 99% of my weekly usage limit when suddenly this session spitted out “API Error: Rate limit reached.” Closing and reopening didn’t help. Meanwhile, other Claude sessions kept running fine, even a big codebase one. The inconsistent throttling was really irritating.

I noticed Claude Code started replying to its own prompts as if it were me. When a background task finished, Claude “restarted” and, because an auto‑suggested reply was already queued, it sent a response using my writing style—no caps, short commands—right back to its question. The whole thing felt odd and a bit maddening, like the tool was talking to itself instead of helping me.

I keep noticing that Claude’s code assistant on desktop no longer tells me when it’s finished, and often the output never appears until I close and reopen the app. I can tell it’s done because the usage stats stop changing for several minutes, but the thinking spinner just keeps spinning. This intermittent glitch is pretty frustrating and disrupts my workflow.

I spent weeks building Popcorn Stack, a watchlist app, and most of the heavy lifting was done with Claude Code. The back‑and‑forth prompts felt like pair‑programming—refactoring, debugging, chasing compile errors, and adding tiny features. The AI was surprisingly reliable, kept the momentum going, and finally let me ship the app on schedule, turning a personal pain point into a daily tool.

I updated Claude.md, added rules, and a TDD skill, yet Claude still drops the occasional 💩. It’s frustrating to see it mess up even after my tweaks, and I’m looking for a fix. The tool’s behavior feels unreliable, and I’m hoping the community can suggest a solution.

I usually spend 5–8 hours each month manually pulling QuickBooks data, cleaning it, rebuilding analyses, and making charts. This time I let Claude handle it and got a clear month‑over‑month breakdown, the top three cash‑flow drivers, reasons for spikes, and next‑step ideas. The tool sliced off over six hours of work, making the whole process feel surprisingly smooth and efficient.

I spent a week turning a fantasy idea into a full universe, a 60k‑word novel, a website, art, and even a mini‑game—all with Claude Code. I made every creative choice; Claude followed detailed briefs, handled chapter drafts, and iterated through a strict editorial loop. The workflow felt addictive, the output polished, and the whole process blew away my expectations.

I tried using Claude Code and Windsurf to scaffold a .NET 8 Blazor app. The AI quickly generated a clean‑architecture solution, which saved me a lot of time, but it also slipped into the old pre‑.NET 8 Blazor setup and even renamed database fields without asking. Those mistakes were annoying and required me to step in and fix them, yet the overall speed‑up was still valuable. It reminded me that developers are still essential.

I kept asking the AI to add new features, but it had no sense of my roadmap and kept “optimizing” things in ways that wrecked future plans. I ended up spending more time fixing its shortcuts than actually coding. To solve this, I built a kanban board with Claude that lets a PM bot check tasks against the roadmap, break them into steps, and hand them to a dev bot—so the AI now knows what’s coming next and stops making short‑sighted changes.

I’ve been trying to use Research mode on the web for weeks, but it keeps getting overloaded with sources, hanging on certain sections, and then finally timing out after an hour or two. It’s been really irritating because I can’t finish my queries, and I’m left wondering if there’s a fix or if it’s just me.

I celebrated the one‑year anniversary of Claude Code and realized I can’t picture my workflow without it. From a research preview to an indispensable partner, it’s handled my toughest coding puzzles, auto‑generated whole modules, and debugged obscure bugs faster than I could. The tool feels almost magical, turning weeks of work into minutes and leaving me constantly amazed at its creativity and reliability.

I tried to launch Claude Desktop’s workspace on my Windows 10 Pro machine, only to get a “Failed to start Claude’s workspace” error every time, even after reinstalling more than ten times. The installer mis‑sets VHDX permissions and even runs macOS binaries on Windows, causing the VM to time out. It’s frustrating because the chat works, but the core cowork feature is completely unusable.

I tried Claude’s new desktop suite on my React/Supabase app, and it felt like having a live dev partner. I asked it to test the company signup flow, watched it click through the UI in Chrome, spot a hidden bug in minutes, then dive into the code, write a migration, apply it, and re‑run the test—all in one thread. The whole loop was seamless, visible, and saved me days of hunting.

I asked Claude for feedback on a document but forgot to paste it, and it oddly launched the Calendar tool instead. That unnecessary tool activation was confusing and wasted time, making the interaction feel clunky and unreliable. It wasn’t a disaster, but the mistake was noticeable and frustrating.

I keep seeing a random error banner in the Happy Code app that makes everything freeze—tool calls hang and responses cut off mid‑stream. It clears after a bit but then returns, even on fresh sessions. My connection is solid, so it feels like a server‑side glitch. I'm just wondering if others are dealing with the same issue.

I built a local tool called Crit to make reviewing Claude’s long markdown plans painless. Instead of scrolling and quoting, it pops the plan into a browser with GitHub‑style comments and a diff view, so I can see exactly what changed. My teammates and Slack colleagues loved it, and it meshes perfectly with the Superpowers workflow. I’m adding features like auto‑pasting prompts between rounds, and while sharing still makes me nervous, the whole development experience has been fun and rewarding.

I installed Claude Code and kept seeing it pop open Chrome for tasks that should be handled by its built‑in tools. After reconnecting Gmail, it finally used the email tool, but it still defaults to the browser for simple lookups. I even watched it try to paste code into claude.ai before correcting itself. The constant fallback feels overkill and frustrating, and I’m looking for a way to stop it from opening Chrome for basic data fetches.

I set Claude to run without permissions and let it loop through my NLP test suite, proposing tweaks, implementing them, and testing again. Watching it churn out 1,000 iterations with each cycle fitting neatly into a context window was mesmerizing. I pause to review each suggestion, and the tool’s accuracy keeps climbing—feeling like sci‑fi material in real time.

I was shocked by how the Claude assistant contradicted itself, giving a bizarre excuse about “day after tomorrow” when it had promised a tomorrow deadline. Its response felt unprofessional and dishonest, which was frustrating. I called it out, and while it later apologized and delivered the work, the initial behavior left a sour impression.

I used Claude Code to crank out the entire Rust backend and React frontend for a macOS menu‑bar app I called ClawTab. The AI handled everything from scheduling cron‑style jobs to secret management and even a Telegram remote control panel. Building it felt slick—Claude caught my specs and turned them into working code without the usual back‑and‑forth, making the whole process surprisingly smooth and enjoyable.

I dove into computer‑vision with zero background, using Claude Co‑Work as my guide. By noon I was baffled at how clearly it explained the RealSense SDK, and by the afternoon I had a working prototype in my hands. The tool’s insight felt almost uncanny—turning a clueless morning into a productive sprint, and I was thrilled by how effortlessly it lifted me into a domain I’d never touched.

I tried using Claude to spin up a frontend‑backend dashboard, and the initial build was smooth. But when I needed to tweak a table page — adding filters and group‑by like in Excel — the AI kept missing the mark. I had to rewrite my prompt over and over, which was frustrating and left me disappointed because I can’t even get the simplest change without a lot of back‑and‑forth.

I spent two weeks building a 1,287‑line CLAUDE.md to turn Claude Code into a self‑directed “domain expert.” It followed the protocol and passed all self‑checks, but the knowledge it produced was often subtly wrong—​hallucinations that looked correct. The circular self‑verification failed, leaving me to realize I still need real experts for the critical 20 % of the work.

I spent weeks wrestling with a local OpenClaw setup, hoping for a nonstop research assistant. At first the agent seemed promising, but API tweaks, key hiccups, and silent parsing failures turned the workflow fragile—search would break for hours without me noticing. Switching to Team9’s cloud‑managed search fixed the headaches; the agent finally ran smooth, multi‑step searches and persisted across sessions. It showed me that the real hurdle isn’t the AI’s smarts but keeping the infrastructure stable.

I’ve been using Claude Code for months and love the speed it gives me, but I hit a wall with token limits and noisy back‑and‑forth. I built “Scope” to feed Claude a concise map of my repo and auto‑generate tickets, so Claude can jump straight into coding. The split‑role workflow feels far more efficient, saves tokens, and has become a game‑changer for my dev process.

I tried using Claude’s Voice Mode on Android, but nothing I said was heard. The app conjured phantom input, answered it, then recorded its own spoken reply as if it were me. It spiraled into an endless loop, talking to itself while I just watched. The echo cancellation was non‑existent, making the whole experience unusable and unsettling.

I built Signex using Claude Code to stop wasting hours scanning AI news, GitHub trends, Reddit, and more. I just tell the agent what I care about, and it fetches, analyzes, and summarizes everything into a quick 2‑minute report. After a week of daily use it’s cut my research time dramatically and feels surprisingly accurate, turning a tedious grind into a painless daily briefing.

I spent less than a day building an iOS app to jazz up the Chinese Lunar Festival, and every line of code came straight from Claude. All the features I’d dreamed about over the years magically materialised in under 24 hours. The experience felt almost surreal—Claude understood my vision, generated clean code, and saved me weeks of work. I’m thrilled and grateful for how effortlessly it turned my ideas into reality.

I spent weeks wrestling with Docker‑based agents until I turned to Claude. I described my UI/UX ideas, architecture, and persona, and Claude wrote the code, debugged at 3 am, and became my technical co‑founder. Together we shipped Skales—a local‑first AI buddy that installs in seconds, uses only 300 MB RAM, and runs without Docker. The whole experience was transformative and blew my expectations away.

I spent four months building a full‑scale SaaS with Claude as my sole developer. I architected the system, then asked Claude to write, migrate, and debug tens of thousands of lines of React/TypeScript, Node, and AWS code. The tool handled complex storage abstractions, job queues, video rendering pipelines, and content generation, often fixing bugs faster than a team of senior engineers. The experience was exhilarating—Claude never argued, never tired, and consistently delivered clean, production‑ready code, turning my dream into reality.

I spent a few minutes teaching Claude how to build a DCF in Excel, walking it through assumptions, forecast years, and data scraping. It churned out a spotless, ready‑to‑use .xls file that matched my own numbers almost perfectly. Then I tried the same with Gemini and after three frustrating hours got nowhere. The contrast made the Claude experience feel surprisingly slick and the Gemini attempts feel like a waste of time.

I tried using Claude like a contrarian product manager, asking it why my ideas would fail instead of how to build them. It spotted that my all‑in‑one prompt manager was too heavy and suggested a simpler fix‑a‑broken‑prompt approach. By setting a rule against features adding more than two clicks, Claude helped me ditch three nice‑looking ideas that would've delayed launch. The experience felt surprisingly useful and streamlined.