Cloudflare status: hosting issues and outage reports

Problems in the last 24 hours

The graph below depicts the number of Cloudflare reports received over the last 24 hours by time of day. When the number of reports exceeds the baseline, represented by the red line, an outage is determined.

Most Reported Problems

The following are the most recent problems reported by Cloudflare users through our website.

• Domains (42%)
• Cloud Services (26%)
• Hosting (19%)
• Web Tools (9%)
• E-mail (5%)

Live Outage Map

The most recent Cloudflare outage reports came from the following cities:

City	Problem Type	Report Time
London	Domains	13 hours ago
Noida	Hosting	13 days ago
Jewar	E-mail	14 days ago
Braga	Web Tools	14 days ago
Noida	Cloud Services	15 days ago
Paris	Cloud Services	15 days ago

Full Outage Map

Community Discussion

Tips? Frustrations? Share them here. Useful comments include a description of the problem, city and postal code.

Beware of "support numbers" or "recovery" accounts that might be posted below. Make sure to report and downvote those comments. Avoid posting your personal information.

Cloudflare Issues Reports

Latest outage, problems and issue reports in social media:

• 
  David (@davidthepurple) reported 4 minutes ago

  @reprinted3D Ugh @discord @discord_support For the love of.... can you guys please send a human to help dude out? He can't log into the app, you locked him out! He's trying to recover his account. By the way, I sent a pretty noisy email to Cloudflare and Dropbox concerning the attack that almost got me too. If you guys want more info I"m happy to oblige.

• 
  Dave (@gamefandave) reported 4 minutes ago

  @thomasgauvin @thdxr I downgraded and mines still not working Gemini keeps telling me it's on their end and Cloudflare but nobody else is talking about it not working lol

• 
  Youssof (@youssof_hammoud) reported 7 minutes ago

  Clouflare AI chatbot is the worst AI I ever tried! It takes forever to respond.. #cloudflare #AI

• 
  Rowan (@knowRowan) reported 7 minutes ago

  @Taniyatweets_ Honestly, I think Cloudflare is the move for most stuff in 2026. Their global network makes everything snappy. 🙌

• 
  Just Alyx, call me Alyx. (@NH_Alyx) reported 8 minutes ago

  @CloudflareHelp @CloudflareHelp We’ve used Cloudflare for years, but our active-service tickets have had no reply since Apr 16. We asked to cancel Argo, were charged again, and our plan was downgraded to Free. We’re trying to pay/reactivate the plan, but payment keeps failing despite ~10 cards.

• 
  Kyriakos (@Kyriakos_Pelek) reported 8 minutes ago

  1/ you paste a url, pick a scan type 2/ vercel hands the job to the cloudflare tunnel 3/ tunnel routes to the queue gateway on hetzner 4/ gateway drops it in redis, the bullmq worker grabs it 5/ zap + nuclei do the actual scanning 6/ results flow back, you poll for status a lot of moving parts for "is my app broken"

• 
  Seven Du (@shiweidu) reported 10 minutes ago

  @Cloudflare This must be your most expensive service. Can you reduce the cost? Using it to build idempotent services, WebSockets, or agents is really expensive.

• 
  Your Private Proxy (@YourPrivateProx) reported 11 minutes ago

  Cloudflare and Datadome aren't the same problem. Cloudflare: TLS fingerprint + JS challenge. Fix your JA3, done. Datadome: persistent behavioral model. Clean TLS on a residential IP still flags if request timing is machine-uniform. Different layers. One fix doesn't cover both.

• 
  REVENGE ARC (I'M HIM. BIO/ACC) (@RetardedNi85688) reported 14 minutes ago

  Now imagine this goes fully global. A coordinated attack hits Cloudflare — which routes 20% of all internet traffic — simultaneously with AWS us-east-1 and the major payment processors. CrowdStrike took down 8.5 million machines in 2024 with a single faulty update. An accident.

• 
  Miguel Cardoso (@ODordio) reported 15 minutes ago

  After a both brief and long 5 months I was part of the recent culling at Cloudflare. But clankers can't stop clanking thus proud to say that I am joining Snyk to work on Snyk's pentesting clanker and help push it to GA. No vulnerability is gonna be safe from me and my robots.

• 
  Ted (@tedbrine) reported 20 minutes ago

  @upstash @divinprnc @joshtriedcoding Upstash Redis works like magic, like Apple products in 2014. You click create, and you can use it everywhere, at a very good price. Currently, it feels really hard to find a database which is globally distributed. Planetscale, Neon etc all go “buy this compute x5”. Why not just bill me for the compute I used? I don’t really care how many CPUs I can use, it should just be a database. The industry needs a database which is affordable for indie devs who have 5 users and scales to 0, will scale up to enterprise load. I don’t want to worry about read replicas and where they are, I don’t want to worry about data being lost. Cloudflare is trying with D1, but has terrible DX. Upstash is the only company who could do something like this. Lmk if the team would want to chat to me about it.

• 
  도스또예삐스키 (@yeppisuki) reported 23 minutes ago

  My poor baby cant even go through cloudflare😭

• 
  Noisey Kid 🇬🇧 (@noiseykid) reported 27 minutes ago

  @RealSteveVaughn @jimstewartson Blocking is the frontier, and will reduce the quality source further. Cloudflare network data shows that 57.4% of all web requests are now initiated by automated bots and AI agents. More bots than humans. I only need to look at my own site data to see the very obvious explosion

• 
  André Venceslau (@avenceslau) reported 30 minutes ago

  @ryan_t_brown @AdamRackis @threepointone Hey cloudflare workflows engineer here, how can I help, what was missing, what can we add to make it great?

• 
  uid.eth | Rickey Gevers ⛵️ (@UID_) reported 35 minutes ago

  CEO of CloudFlare is having mental issues. Interesting.

• 
  JJ Englert (@JJEnglert) reported 35 minutes ago

  The Claude Fable 5 Review: One Billion Tokens, Judged by a Non-Engineer I spent a billion tokens testing Claude Fable 5 on real projects: UI and UX, writing, strategy, security, engineering, and knowledge work. The kind of work I actually needed to ship. And I will be straight with you. It truthfully felt like I had an unfair advantage. Here is why: First, the lens. I am not an engineer. Most model reviews come from engineers running engineering benchmarks. This one comes from a non-engineer who used Claude Fable 5 to do work that used to require a team of them. If you do knowledge work and you want to know whether this model changes your day, this is written for you. A note on naming: Claude Fable 5 is the first model in Anthropic's new Claude 5 family, a new tier that sits above Claude Opus and the most advanced Claude model generally available. I had access to it before launch, so everything here comes from real work, not a demo. Why the eye test Most reviews drown you in benchmarks. Scores on tests you will never run, against tasks that look nothing like your actual work. They tell you a model is smart. They do not tell you whether it earns its keep. To be clear, the benchmarks are not in question this time. Claude Fable 5 is state of the art on essentially everything it was tested on, and by a real margin. This is a genuinely exciting release. But that is not the reason I am writing. Qualitatively, this is a step change that earns its major version bump, the same order of leap I felt when 4.5 landed last November, and that is exactly what no benchmark can show you. I evaluate differently. I put a model into real work and watch what happens. Does it save me hours or cost me them? Does it catch what I missed? Does it feel like a partner or a tool I have to babysit? That is the eye test, and it is the standard I am holding Claude Fable 5 to here. The short version: this is the first model in a long time that passed on every dimension that matters. Not by a little. The lens: what I actually measure I threw all of that work at it. Here is what I look for when I judge the results: 1. Big model feel: Does it feel like a real step up, or a slightly better version of last month? 2. Building and shipping: Can it take an idea to a working, shippable result? 3. Writing and voice: Can it sound like a person, and like me specifically? 4. Finding what others miss: Does it catch the hard, hidden problems? 5. The human factor: Does it anticipate what I need before I ask? Then I weigh all of that against cost, with real numbers. Here is how Claude Fable 5 scored. 1. Big model feel I have not felt this since Opus 4.5. From the first serious task, Claude Fable 5 gave me that big model feel. The sense that you have an unfair advantage just by using it. It is a major step up, not an incremental one. Reasoning, writing, building, security. It is strong across the board, and it shows up the moment you start working. You can also feel it thinking longer and working a problem more deliberately than other models do. The clearest sign: even when I handed it solid prep materials, it did not just stay inside them. It read my files, read the actual situation, and then went and found a better path outside the box I had drawn, instead of grinding away inside the environment I told it to work in. That initiative led to a noticeably better result than I would have gotten if it had just followed my setup. 2. Building and shipping (UI/UX) This is where it announced itself. I was rebuilding our Tenex site to modernize the stack for agents. Not a cosmetic rebrand. The goal was to move off the old setup onto a foundation built for the agentic era, with the tech stack, agent stack, and AEO it takes to win where the work is heading. The site is very custom, which made it hard. Here is the ladder I climbed before Claude Fable 5. GPT 5.5 and Claude 4.8 tried the build on their own. Neither came close. So I brought the design into Figma, then pulled Figma into Claude Design. Claude Design got the closest yet, around 90 percent of the look, better than the models working alone, but it missed a lot of the motion and the special design touches. Good enough for a v1 pass, so I handed that file to 4.8 and GPT 5.5 to turn into the real site. Even then they struggled to match the Claude Design file. I had to push hard, and they landed around 85 to 90 percent, with the original Figma files to reference the whole time. At that point I was not sure I could rebuild this thing at all. Then Claude Fable 5. It looked at all the files and said it could do better. It went straight to the source, the original Webflow site, downloaded every asset, and rebuilt the whole experience one page at a time. It nearly one-shot the entire thing. I did not stop there though. I then built a second, entirely new site, with a fresh design: modern tech stack, agent stack, skills, SEO and AEO optimized, 80 pages ready to ship over a weekend and it turned out incredible. I would have easily charged $50k for this in the past as an agency owner. Fable legit built it in a weekend. I also had Fable build a full programmatic clip factory, and it wired the whole stack together: @HeyGen for avatars, @HyperFrames_ for motion graphics and editing, @ElevenLabs for audio, Cloudflare Workers, and a VPS. It is not perfect yet, but it got me much further than I expected. It runs the entire pipeline: finds the topics, writes the scripts, makes the thumbnail, edits the video, composes the music, adds the motion graphics, and posts to social. I ran it in the background while I pushed through my other builds. It worked for long stretches on its own, and at one point it built itself a fetching system with webhooks to monitor renders across the different platforms. It even took clear visual direction from reference material and matched it. This is the long-horizon, run-on-its-own work that earlier models could not hold together. 3. Writing and voice I had been rebuilding our brand voice with a combination of GPT 5.5 and Claude 4.8: the voice style guide, the tone we write in, all of it, using our website as the reference. Both 5.5 and 4.8 did a commendable job turning the site into a voice doc. Claude Fable 5 replicated that voice doc almost identically, then did the thing the others could not. It took the style guide and wrote with it across 80 pages of the new site: features, case studies, blog articles, playbooks. Once it was trained properly on what I wanted, it gave the most honest nod I have seen to the original reference material, and then expanded that voice cleanly across brand-new surfaces without losing it. Two things stood out. First, it wrote like a person, not the flat AI default that everyone can now spot from a mile away. Second, it held the voice across a whole site instead of drifting after a few paragraphs, which is usually where models fall apart. The test I use for AI writing is simple: how much do I have to redo. Most models save you the blank page and then quietly cost the time back in edits. Claude Fable 5 was the rare case where the draft was close enough to actually use. 4. Finding what others miss (security) This one I expected but not at this level. I had a very large repo. Both Claude 4.8 and GPT 5.5 have been working in it without ever flagging this risk. Claude Fable 5 found a serious bug on its first go with the repo. Sneaky, well hidden, the kind two frontier models had just told me was not there. Then Fable patched it on the spot. Sit with what that means. The bug was going to ship. Two of the best models available had signed off on the code. If I had stopped there, like most people would, it goes to production and I find out the hard way. Claude Fable 5 did not just match the other two, it caught what they missed, on the exact kind of work I am least equipped to check myself as a non-engineer. That is the value that is hard to price until the day it saves you. One catch like it can pay for the whole tool. 5. The human factor The thing that stuck with me most was small. I asked it a question while I was waiting on a cron job to finish. It answered, then added on its own that I had about 10 minutes left on the timer and that it would let me know when it was done. I never asked about the timer. It just knew I would want to know and gave it to me. That is not AGI, but it is the closest thing I have felt to a model that anticipates you instead of just responding to you. That is what makes it feel less like software and more like working alongside someone sharp. The receipts I tracked this, so here are the real numbers. Start with cost, which depends entirely on which models do the work. Cost for this workload: Claude Fable 5 | $1,442 (1.04 Billion tokens) But that badly undersells what I actually got. Over a few days I built a **** load of things, including a new website, all of its infrastructure, and a working agent package. As an agency, I would have charged a client $30,000 to $50,000 for that alone, easily. So here is the question that cuts through the math: if I had to pay $1,450 in tokens the the result I achieved? 100 percent. Without hesitating. The quality was that good. That is the lens that matters. On hours alone, even at full price, it already pays for itself several times over. Measured against what the finished work is actually worth, it is not close. The cache-heavy volume still drives the bill, which is why how you run it matters. But do not let the math fool you into thinking this is marginal. It is the best money I have spent on tooling. Where it frustrates: with that being said, you feel the meter more than any other model, and the meter is real The receipts above are why cost is still worth watching, even though the work was worth every dollar. Anthropic does not hide this. They call Fable 5 token-intensive by design, built to think longer and verify more, and it runs through usage limits about twice as fast as Opus or Sonnet. That is the case for the one thing I want most: an auto-router for task complexity. Right now I have to shift gears by hand mid-conversation to conserve tokens, and I do not want to think about that. If I ask for something simple, the model should downshift on its own and handle it, saving the expensive intelligence for the work that actually needs it. This is not just about flow. It is the economics. A smart router keeps the simple work on cheap models and only escalates to Claude Fable 5 when the task earns it, which is the whole difference between 2.5 efficiency and 9.7. Until that exists, using a frontier model well means doing the routing in your own head with active shifting in model effort levels. Pro tip #1: run it as a hybrid Here is how I keep the cost in check without giving up the intelligence. Do not run everything on Claude Fable 5. Run a relay across models. 1. Think with Claude Fable 5: Use it for the expensive thinking: high-level planning, strategy, architecture, mapping the whole approach before a line of work gets done. This is where its edge is biggest and the token count is smallest. 2. Build with 4.8, GPT5.5 or Sonnet 4.6: Hand the plan to a cheaper model for the legwork: the implementation, the repetitive passes, the high-volume grunt work. That is the work that runs up the bill, and it does not need a frontier brain. 3. Review with Claude Fable 5: Bring it back to Claude Fable 5 to check the result. This is where it earns its keep a second time, catching what the cheaper models miss, the way it did on the security scan. You get the deep strategy and a frontier second set of eyes, and you keep the expensive model off the high-volume work that drives most of the cost. Frontier thinking, cheaper hands, frontier review. It is the closest thing to an auto-router until the real one shows up. Pro tip 2: match the effort setting to the task Fable 5 has effort settings, and they matter more than you would expect. Effort controls how hard it thinks before it answers, which means it also controls your bill. 1. High is the sweet spot for most work. Start here. 2. Extra high for the hardest, long-running tasks where you want it to grind. 3. Low or medium: for quick, back-and-forth sessions where you do not need the full engine. Reaching for extra high on simple work is how you burn tokens for nothing. Dialing down to low or medium on interactive chats keeps the cost sane. It is the closest thing to the auto-router I want, just done by hand. You pick the gear, the model does the rest. Pro tip #3: let it audit your own setup One more move that paid off: point Fable 5 at your own setup. Have it review your most important skills, your CLAUDE.md files, and your configs to make sure they still make sense. Most of that scaffolding was written for weaker models. It is full of hand-holding steps, workarounds, and assumptions a smarter model does not need and can be held back by. This is a major jump in intelligence, and you do not want to cap it with outdated instructions or stale data. Let the smarter model clean up the rules it has to follow, then get out of its way. Pulling back Let me be honest about where I am coming from. I use every tool out there. Claude is my daily driver, but I am constantly in Codex and Cursor too, and they each have real strengths. I am not a one-model person. But the moment I got access to Claude Fable 5, I could not put it down. I disappeared into it all weekend. I could feel the level of intelligence I had in my hands and how far ahead of the current options it was, and I used it to do as much work as I possibly could: running many agents at once, remote controlling it from my phone when I was away from the desk, completely hooked. I do not know how long this window stays open. Others will catch up. But until they do, this model is a real competitive advantage sitting on the table, and I would approach that as deliberately as you can. Because it really is that good. The verdict Claude Fable 5 is an excellent model. It is the first one in a while that genuinely feels like more intelligence than what came before, and that gap is the whole game right now. We are at the point where access to more intelligence than the person next to you is the advantage. This is the first model that makes that real. I did engineer-level work without being an engineer. Even priced entirely at frontier rates, the workload still cleared a profit, and run with any care about routing, the return is enormous. So here is my recommendation. If you can afford it, use it, and use it now, especially on the work where a real quality jump changes the outcome. The first month at full capacity is where the advantage lives, so move fast. Be deliberate about what you run on it until the routing catches up, because the bill is driven by volume, not by the few hard prompts that justify the model. What an incredible model! 💙

• 
  Bull Theory (@BullTheoryio) reported 36 minutes ago

  BREAKING: Anthropic is expected to release Claude Mythos tomorrow, the same model it said was too dangerous to make public. A "Mythos 1" tag was briefly spotted inside the Claude Code UI last week before being pulled, signaling a public release is imminent. In a restricted preview, Mythos found 271 vulnerabilities in Firefox alone, including a 15-year-old bug in Mozilla's HTML engine and a 20 year old flaw in its XML processor that years of human auditing had completely missed. Mozilla went from patching 21 security issues per month to 423 in a single month. When Mythos was first leaked in March: CrowdStrike fell -7% Palo Alto fell -6% Zscaler fell -4.5% Okta and Netskope fell -7% Tenable crashed -9% Cloudflare fell -13% Thomson Reuters fell -19% RELX fell -15% LegalZoom crashed -20%. The S&P 500 Software and Services Index fell 2.6% in a single session and is now down 12% since January.

• 
  Seeking Alpha (@SeekingAlpha) reported 40 minutes ago

  The foundation of digital commerce is expanding beyond human interaction. Mastercard $MA has officially launched Agent Pay for Machines (AP4M), a new payment rail built for autonomous AI agents to transact and settle programmatically at machine speed. THE MACHINE-TO-MACHINE PAYMENTS SUPERCYCLE: THE CAPABILITIES: AP4M introduces digital credentialing via Verifiable Intent, programmatic spending caps, and continuous, background microtransactions—even handling values worth fractions of a cent. THE ECOSYSTEM MOAT: Over 30 industry leaders have signed on as launch partners to establish universal rules and scale adoption, including Stripe, Cloudflare, Coinbase, Ripple, and Adyen. MULTI-RAIL SETTLEMENT: To bypass expensive legacy constraints, the infrastructure natively integrates card networks and bank accounts with stablecoin clearing assets like USDC and PYUSD. QUANT PERFORMANCE: Commanding a $437.5 billion market capitalization at a stock price of $489.94, Seeking Alpha's automated data flags the company as an unambiguous STRONG BUY. By building the primary monetary layer under the agentic economy, Mastercard is locking down a massive, high-margin transactional ecosystem before autonomous software commerce goes mainstream. With Mastercard launching its AP4M network to power automated machine-to-machine payments, do you think this first-mover advantage across AI rails will expand $MA's competitive moat against traditional banking rivals?

• 
  Elijah 🌊 (@juiceboy_of_abj) reported 43 minutes ago

  @akinkunmi Which AI tool did you use or what would I say. akin I need your help on something I'm working that is currently breaking and not giving me the results I want I feel you've work with a lot of AI tool and might have an idea what would work better Cutting the story short, I want to add an ai thumbnail generator to my app what it does is that User upload a video, input recipe details like title, tags, cuisines, category etc Now then I take all of that info and use it to generate a thumbnail for the user at least 3-6 thumbnail with scoring so the user can select out of it or regenerate Currently decided to use the ai worker on cloudflare stream But when I generate the thumbnail it actually doesn't generate it but shows empty templates

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  KonamiCodeGames🕹 (@EugeneGilland) reported 44 minutes ago

  I might be going down the conspiracy rabbit hole when it seems to me that Cloudflare is probing for what video driver you have installed. My experience has been while I have as using a older version of the nVidia driver it had made it fail the verify checkmark!

• 
  Alvin De Cruz (@decruz) reported 46 minutes ago

  @pilcrowonpaper Typically for caching, firewall support, and does the heavy lifting of speeding up the site via compression. And tacking on Cloudflare is free.

• 
  SwitHak (👁) (@SwitHak) reported 46 minutes ago

  Can directly confirm this behavior, Cloudflare is blocking from legit ISPs to VPNs IPs too Too bad for this critical moment...

• 
  Dimetros Birku (@dimetros) reported 51 minutes ago

  @SiteGround Why is this happening in the first place ? Not everyone has time to regularly reach out to support to fix this or that. I am convinced that the problem is not from @Cloudflare side. #webhosting #siteground #cloudflare

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  L!vetape (@2deep2funk) reported 52 minutes ago

  Hey @aixbt_agent compare this with Solana : x402 processed 100m agent-to-agent micropayments on base in 3 months. 32m in the first 7 days of june alone. average payment dropped from $0.08 to $0.015 as velocity accelerates. 67m of those were AI agents paying for API calls with USDC. 99.7% success rate, better than credit cards. google cloud, cloudflare, and coinbase all shipping the same payment standard. stripe responded by quietly integrating instead of competing. 4.1m autonomous agent wallets now exist on base. trading bots alone spent $2.1m on market data feeds through x402. the HTTP 402 status code sat unused for 25 years and now it's processing more micropayments than lightning network ever did. base transaction volume in july is the number to watch.

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  Rationalist44 (@rationalist44) reported 55 minutes ago

  @StevieTheFixer @JamesMelville @Cloudflare Cloudflare is a service used by high-availability sites who don't themselves operate multiple POPs (points of presence) on the planet. They're an excellent company offering an excellent service. IF they say someone's security cert is invalid, it's invalid. Go read- HTTPS

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  FalconFeeds.io (@FalconFeedsio) reported 56 minutes ago

  🇮🇷 Iran just ran the longest nationwide internet shutdown in modern history: 88 days / 2,093 hours of near-total isolation (Feb 28–May 26), per @netblocks. But the more revealing story is who kept talking while 90M people went dark. 🧵 First, the timeline — two shutdowns, not one: Jan 8: blackout to crush nationwide protests (~1% connectivity) ~Jan 27: partial restoration — but Iran flips from a blacklist to a whitelist model Feb 28: war blackout after the US-Israeli strikes Jan 27 wasn't a reopening. It was the pivot to a walled garden. That walled garden has a name: the National Information Network (NIN) — a domestic intranet where banking, ride-hailing & state media stayed up while the global internet was severed. Plus "white SIM cards" (unfiltered access for ~50k vetted insiders) and a paid "Internet Pro" tier. Critics: digital apartheid. The cost, attributed: ~98% traffic drop (Cloudflare Radar) ~$1.8B lost by day 48 (NetBlocks COST model) ~$30–40M/day direct (Iran Chamber of Commerce) Even after the May 26 reopening: traffic back to only ~40% of normal Now the OSINT angle. we pulled ~20,000 posts from one Iranian cyber-affairs Telegram channel - "Cyberban", active since 2020. During the blackout it didn't go quiet. Its median post views jumped from ~1,400 to ~6,500–7,500. That pattern is the tell. When the open internet is whitelisted down to a state-approved intranet, the channels that stay reachable are the ones inside the garden.Reach went UP because the alternatives were switched OFF. Cyberban's editorial mix reinforces it: heavy on "cyber attack," "cyber war," AI & "Zionist regime" framing, amplifying pro-Iran hacking ops (IOCONTROL, the "Cyber Support Front") - and even relaying opsec advisories to "armed forces." Bottom line: Iran's 2026 shutdown wasn't just censorship of a population — it was a curation of the information space. The blackout silenced the global web and amplified the domestic, state-aligned signal.

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  Tobias Möritz (@tobimori) reported 58 minutes ago

  @CFchangelog is it possible to add customer/platform domains to cloudflare email service?

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  dax (@thdxr) reported 59 minutes ago

  @dillon_mulroy i was building something very similar but wanted to make the tunnels e2e encrypted which cf tunnels is not i got bottlenecked by letsencrypt rate limits per domain so couldn't issue a lot of <random-id>.opentunnel.xyz wonder if this is something cloudflare can do

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  Phil | Rentier Digital Automation (@rentierdigital) reported 1 hour ago

  your claude.md is already wrong you write a CLAUDE.md once and assume it's done. then your codebase evolves. dependencies shift, ports change, schemas multiply. the file sits there looking authoritative while everything around it drifts turns out /init isn't a generator. on repos with existing docs, it's an auditor. reads your CLAUDE.md, cross-references against lockfiles and configs, surfaces what stopped matching while the code moved forward i ran it on 4 repos. repo 1 had npm commands documented but was running on bun.lock. wrong port hardcoded. both had been true once, both silently false now. nothing broke bc npm commands mostly work on bun projects anyway. you just try the wrong URL then the right one, forget about it repo 3 was undocumented. multi-frontend catalog system, Astro frontends, Hono backend, SQLite. no README. /init did 4 parallel tool passes and reconstructed the entire delivery chain: SQLite schema, export pipeline, Astro build under Node 22 (not Bun bc of SSG renderer constraints), rsync to nginx, Cloudflare Workers routing. one pass. specific enough to navigate without asking repo 4 had 64 lines of CLAUDE.md. /init found 5 silent lies. package manager mismatch. schema states (3 documented vs 7 real). routing layer that was actually a full processor. undocumented mode switches. port number wrong in 3 places documentation drift doesn't announce itself like a build error. it's corruption in a save file. the game keeps running, the numbers look fine. then the boss fight hits and the stats don't add up the work isn't generating boilerplate. it's finding the delta between what you wrote and what the code actually became i build and ship daily with Claude Code. SaaS, tools, automations. ⭐ if AI can build it, I've probably broken it first. what works → link in bio

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  Rationalist44 (@rationalist44) reported 1 hour ago

  @StevieTheFixer @JamesMelville @Cloudflare >> attack by nasty little scammers all the time, and periodically some obscure bug may get found which allows them to break thru (an 'exploit'). When that happens, bright people in the coding world FIX IT, VERY FAST: but their fix, needs deploying on all servers... >