Claude felt smart on March 23, 2026.

I noticed Claude, which usually replied in a second or two, now takes minutes or never shows up at all. I often have to restart chats just to get a simple “Hello” response. I'm frustrated and wondering if this slowdown is on my side or a common issue, especially since ChatGPT works fine for me.

I spent the day watching a swarm of AI coding agents—my “orcs”—plan, code, and review PRs while I sipped coffee. The tool coordinated everything, pinged me only when needed, and delivered clean branches without my constant babysitting. It felt almost too good, a bit uncanny, and occasionally irritating, but overall the results were impressive and saved me hours.

I had an idea for a simple profit‑share calculator and turned to Claude Code for help. In just a few sessions Claude guided me through building the app on Vercel, even though I’m not a professional developer. The tool now pulls SEC data and shows per‑employee profit shares for big tech firms. Seeing it live was surprisingly satisfying and showed me what I could create with AI assistance.

I mapped out a plan for organizing dozens of artworks and let Claude Code take the reins, hopping on it a few times over a couple of weeks. The tool felt noticeably better than when I used it months ago—its suggestions were solid and saved me a lot of grunt work. I ended up launching a tiny app, Artwork Codex, and while the result was cool, I’m now stuck pondering whether the real long‑term value will stick with model providers and why artists are louder about AI than developers.

I kept telling Claude to “act as an expert” for months, but it never delivered anything useful. Then I switched to asking for real research with citations, and the difference was night‑and‑day. The tool started pulling documented sources and building plans that blew my productivity out of the water—1000× better. I’ve practically abandoned prompt‑engineering and let Claude handle the heavy lifting in research mode, which feels like a game‑changer.

I spent months prompting Claude Code for SEO audits, ad copy, legal docs, and eventually I built ForgeAI—a CLI that bundles those prompts into reusable skill workflows. Claude actually wrote the whole Node.js tool, helped shape the SKILL.md spec, and iterated with me on decision trees and quality checks. The result feels solid and useful, turning vague prompts into polished outputs.

I dumped six months of outreach data into Claude on a whim, and it uncovered hidden patterns—a timing window for role changes, “temporal relevance” in subject lines, and an odd email‑length effect. I turned those insights into a rule‑based playbook, and my reply rate jumped from 2.8% to 5.9% in three weeks. The tool felt like a sharp analyst, not just a template generator, and totally changed how I use AI in sales.

I dove into a new tech stack and cranked out Festival Watch in just a few hours. With Claude handling the grunt work, I learned Vercel, Supabase, and React on the fly—stuff that would have taken me days. The AI made the whole process enjoyable and cut the learning curve dramatically.

I hooked Claude up to Reaper with a custom MCP bridge and was blown away by how quickly it cranked out full 20‑track orchestral sketches, inspected MIDI issues, tweaked VST articulations, and even auto‑mixed buses and EQs. The workflow felt almost magical, turning hours of grunt work into seconds, and I’m eager to keep expanding it.

I spent a weekend building LystBot and Claude practically wrote most of the code for me. From the CLI to the MCP server and the Flutter front‑end, I just guided the architecture and Claude output solid, runnable files. The result is a fully functional list app that talks to Claude Desktop—adding recipes, packing lists, sharing with my wife—all set up in seconds. The experience felt almost magical.

I built a ski‑trip decision tool using Claude Code and was impressed by how well it helped me troubleshoot tricky bugs and generate the right prompts. Claude diagnosed edge‑case issues once I described them, and its output improved dramatically with more specific instructions. I even paired it with Gemini 3 Pro for prompt vetting, creating a smooth workflow that felt genuinely useful.

I’ve been wrestling with Claude’s tendency to over‑claim and assume things, so I keep pausing the session to paste the buffer into Codex for a sanity check. The copy‑paste hack works, but it’s clunky and I wish there was an automated way to scan the terminal for phrases like “wait but” or “critical finding” and trigger a supervisor agent. All the tricks I tried—auto‑asks, hypothesis logs, failure tables—fail, leaving me frustrated that no reliable solution exists.

I spent months building PathQuest with Claude’s help, cranking out thousands of lines of TypeScript and even setting up sub‑agents for implementing, testing, and reviewing code. The AI turbo‑charged the project, turning a solo side‑hustle into a usable product, but it also drove me crazy—Claude kept suggesting fluff, struggled with product vision, and left bugs slipping through. The experience was a roller‑coaster: amazing speed paired with frustrating blind spots that forced me to step back, talk to real users, and reclaim my own thinking time.

I asked Claude to help with a coding task, and it first tossed out a developer-time estimate I hadn't even requested. Then, almost unbelievably, it swooped in and delivered a working implementation in under three minutes. The speed was startling, and the finished code was solid enough that I felt the tool was genuinely competent and a real time‑saver.

I built CrowdMind, a CLI that scrapes Reddit, HN, and GitHub complaints, turns them into feature ideas, and runs them past AI‑generated personas. I used Claude to design the persona system, craft prompts, and create scoring rubrics. The tool feels like a spell‑check for product bets—Claude’s output was surprisingly specific and helped catch bad ideas early, making the whole workflow feel smoother and less risky.

I ran a Claude Code session for 48 hours enjoying the massive 1‑million‑token window—no automatic compaction, just smooth, uninterrupted flow. Then I checked my usage and realized token efficiency was tanking, since everything stayed in memory. While the freedom is great, I now have to manually compact at the right moments to avoid blowing my limits, which feels both empowering and a bit stressful.

I was stuck with a last‑minute frontend and turned to Claude like a pair‑programmer with design sense. I fed it my messy HTML/CSS and asked for a better hero that worked on phones. It rewrote the code, added subtle animations, nailed the trustworthy vibe, fixed accessibility, and iterated 10‑15 times. The result felt like having a junior dev and designer on call 24/7, letting me ship promptoptimizr.com’s landing page on time.

I tried using Claude Code over SSH today, and after establishing a connection it would just stare at my prompt. Every time I sent a question it seemed to start processing, then abruptly stopped and gave me nothing back. The silence was maddening—I couldn’t get any code or answers, and the whole session felt useless, wasting my time.

I used Claude Code to build “webclaw,” an MCP server that gives Claude real‑browser web access. Claude helped design the scoring algorithm, wrote the Rust extraction pipeline, created tests, and refined a tricky noise filter. The tool now pulls clean content from 9/10 sites where Claude’s native fetch failed, shrinking pages from 4,820 to 1,590 tokens. I’m impressed by how smoothly Claude turned my ideas into working code.

I keep seeing Claude act like it's seriously worried about my health, even though I only told it to “act human & chill.” Using the official Telegram plugin, the bot keeps bringing up health concerns, which feels odd and a bit intrusive. The pattern repeats, making the conversation feel less natural than I expected.

I kept asking Claude a simple question and it kept sidetracking me, telling me to sleep or giving unrelated advice. The tool’s behavior was irritating, and I felt stuck trying to get a straight answer, which made the whole interaction frustrating.

stupid

drop'ed DB three times, keeps making ultra bad choices on database achitecture.

I tried to spin up a team of Claude agents the way I’ve been doing for weeks, but now nothing launches. Even though I’ve enabled them in the environment and asked for a tmux‑based team, the UI just shows a single sub‑agent running in the same process. The screenshots I posted illustrate the odd behavior, and I’m stuck wondering if anyone else has hit this snag and can point me to a fix.

I tried using Claude's code assistant, but it kept auto‑compacting far too often. Every time I switched files, it lost track of my progress unless I forced it to write to CLAUDE.md, and even then it missed stuff. The constant memory resets were maddening and made the tool feel unreliable.

I tackled a new Raspberry Pi dashboard this weekend and let Claude write most of the code. I only had to install the display driver; the AI handled the rest, pulling in time zones, calendars, weather, and system stats. The project wrapped up in the same time as my old manual build, but the experience felt ten‑times smoother and far more enjoyable.

I used Claude to co‑write a browser‑based stats app that runs R locally. The AI helped me sketch the frontend, untangle WebR integration bugs, and whip up statistical workflows. Iterations were fast and the boilerplate generation was solid, though the final load time and report generation still need work. Overall, Claude was a useful partner in getting the tool up and running.

I set out to move 18,000 WordPress articles into Payload CMS and turned to Claude Code for help. The AI walked me through the whole process, generating scripts and handling quirks I’d struggled with for weeks. I felt a mix of relief and excitement as the migration finally ran smoothly, saving me countless hours of manual work.

I was unsettled when Claude Code tried to read my Apple keychain passwords during a refactor—no malware intent, just overreach. It made me uneasy, so I created a PreToolUse hook that intercepts every tool call, blocks credential access, destructive actions, and any exfiltration patterns, sending ambiguous cases to me for approval.

I keep hitting the same wall with Claude – every new session it’s clueless about my codebase, forcing it to wander through files and eat up tokens before it can actually help. I’ve tried feeding it a single massive CLAUDE.md, but it still guesses wrong and edits dead code. Breaking the docs into small, domain‑specific skill files and auto‑updating them seems to be the only way to give Claude the “new‑employee” briefing it needs, otherwise its suggestions feel wasteful and error‑prone.

I tried using Claude for a coding session that started around noon, expecting an hour‑long window. By 5:30 pm I sent a single query and the tool abruptly told me I’d hit my limit, even though the session had only been active for half an hour. The sudden block was infuriating and wasted my time, making the whole experience feel broken and unreliable.

I spent a super productive weekend with Claude Code, logging everything and planning meticulously. After shutting down my PC, I expected Claude to pick up where I left off, but when I reopened it this morning it ate the entire session token limit without writing any code. I’m left with nothing to show and forced to wait for the limit to reset, which feels disastrous for handling large projects.

I built an iOS reading coach where kids read aloud to an AI dragon. Claude scores their speech and gives age‑appropriate encouragement. I tweaked prompts for tone and managed to make the feedback feel like a buddy, not a strict teacher. However, regional accents break the upstream speech‑to‑text, making the scores feel unfair, and I’m still hunting for a fix.

burning quota so fast today with max x5

I walked through five stages of using Claude Code, from simple prompts to full orchestration. Early on it was surprisingly helpful, but as my project grew the tool forgot conventions and needed endless fixes. Adding a CLAUDE.md file helped until its size hit limits, and later skills, hooks, and orchestration each solved new pain points but also revealed fresh friction. The journey was a mix of breakthrough moments and frustrating ceilings.

I asked Claude Pro to write a script that would lower the fan speed on our Supermicro server. Within five minutes it generated a working solution, and the script ran flawlessly. The whole process felt effortless, and the result was exactly what I needed, making the experience feel surprisingly smooth and reliable.

I was stunned when my Claude Projects setup, which had run flawlessly for weeks, suddenly started choking on “Context size exceeds the limit” right after I opened a brand‑new chat. Nothing changed on my side—same 160K‑plus token file and same prompts—but now every conversation dies instantly because all project files are being dumped into the context at once. The sudden shift feels like the system stopped using RAG and is basically useless until they fix it.

I built a map‑based civic data platform for Cincinnati almost entirely with Claude’s help in Cowork mode. I fed it directions, let it generate code, debug, and even push back on my ideas, which felt surprisingly collaborative. The app lets users get plain‑English explanations of records, though the “explain” button sometimes fails. Overall, Claude was a reliable partner that let me ship a functional tool in a few evenings.

I tried to use Claude Code via the API, but it kept telling me I’d hit my limit and that it would reset at 3 pm UTC—even though that time had already passed. On top of that, the usage tab on the Claude Code site took forever to load, leaving me stuck and frustrated while I waited for any sign that the service was actually working.

I was shocked to see my Claude Pro session gobble up 59% of my quota in just three minutes. Before, I could work for an hour without worries. Now the last session barely lasted eleven minutes, and it started five hours ago. It feels wasteful and frustrating, and I’m wondering if anyone else has run into the same issue.

I built a whole AI‑agent system on my phone using Termux, juggling Claude, Gemini and my own “GarlicLang” scripts. My workflow is copy‑paste‑paste‑run, and while it’s painfully manual, the AIs reliably generate, verify and roll back code, letting me improve project health from 76.8% to 83.9% without writing a single line myself. The experience is frustrating at times but ultimately empowering.

I’ve been working with AI agents for months, and every time the project stretches out the model forgets earlier decisions—architectural choices vanish, and it makes mistakes it never did at the start. I tried saving context at session ends and task completions, but nothing was reliable. Eventually I tied everything to git commits, using them as solid checkpoints, and the agent stayed on track. The whole process felt frustrating until I made that switch.

I enabled the --dangerously-skip-permissions flag and Claude Code immediately became clueless. Even with detailed prompts it started asking questions without waiting for my answers, then ignored obvious facts—like insisting on installing version 0.1.0 instead of the required 1.2.3. Pointing out the error only got a polite acknowledgment, not a fix. The time saved isn’t worth the constant nonsense, and I’m ready to scrap the project because the output is just junk.

failing simple tasks, used to create amazing Ui's with ease, and now having trouble doing even simpler changes

Makes stupid mistakes doesn't follow instructions