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Cloudflare Issues Reports

Latest outage, problems and issue reports in social media:

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  ✨️ Reina Cruz ✨️ 🥼🧤 ☭⃠ (@realReynaCruz) reported 6 minutes ago

  @ritakozlov @Cloudflare Fix human verification

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  Yeti - (@Yetee_) reported 7 minutes ago

  @burcs THIS IS EXACTLY WHAT IM DOING!!! Essentially doing this and managed service stuff using Cloudflare as the backbone. I submitted requests with startup program, agency and partner applications.

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  Alex Miller (@AlexMillerDB) reported 11 minutes ago

  @_Felipe @kellabyte I think LSM Trees have won largely because there’s no good btree library. LMDB is great but single writer. AWS showed BDB struggles. Cloudflare ran with TokyoCabinet and it’s not terrible but not great. There’s nothing of the level of polish and reliability as RocksDB.

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  WAi XeA (@Wai_Xea) reported 14 minutes ago

  @Cloudflare customer zero on a cms called emdash.

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  Ahmad A.Sabilla (@ahaabsa) reported 18 minutes ago

  @Cloudflare Doest it support rtl ?

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  Kaiz 🐂🀄️ (@Kaiz_294) reported 18 minutes ago

  Market Bubble Ep.16: full conversation with @0xdrej, founder of @grass 1:14 What Grass actually is 3:06 It's your bandwidth, not your data 4:31 A third of the internet sits behind Cloudflare 5:53 Public data should stay public 6:36 Grass was never meant to be a crypto company 7:21 VCs who underestimated the value of data 8:02 Early users earned network ownership 8:35 Sneaking the SDK into smart TVs 9:28 From a $45K airdrop to stablecoin revenue 10:11 Grass as proof of work for data 11:16 1,000 startups selling data to AI labs 13:18 The fifth grade model experiment 14:15 Tenth grade data improved fifth grade results 15:18 Models need diverse data, not just more data 16:09 Frontier models now reach 10 to 24T parameters 16:55 Every book ever written is 1% of that 17:56 Grass grew from 2.7M to 35M in a year 18:50 The data each model needs 19:48 Your data determines model capabilities 20:29 Robotics needs determinism, video needs noise 21:04 Grass sees model capabilities 12 months early 22:17 Can the internet ever run out of data 23:07 Modern crawling requires residential IPs 23:49 Public web data ends up in models 24:31 1,000 blog posts mean little to AI labs 25:00 Paywalls are going to lose 26:47 Data cleaning is where the alpha is 27:33 The GoPro dataset reduced to 50 hours 28:33 Factory workers excel at repetition 29:19 Near deduplication comes first in datasets 30:14 The internet dominates serious training mixes 31:32 Walking away from pre training would be silly 32:19 More post training context keeps improving models 33:21 Live context retrieval 35:14 Can blockchain data train models 36:12 Hedge funds already buy anonymized card data 37:19 Blockchain data is for analysis, not training 37:55 Models writing scripts to parse transactions 39:01 The Grass network was bootstrapped by its token 39:44 Wynd Labs sold its IP to the foundation 41:05 It's the token or nothing 42:01 Crypto is an attention economy, Grass stayed quiet 43:35 NDAs hide the work they build 44:18 The Magnificent Seven and leading AI labs 45:02 Few real businesses actually need crypto

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  Simran (@simranzchawla) reported 19 minutes ago

  LinkedIn's AI code reviewer gets 63.9% of its comments merged into the final code. Measured properly too — 5,230 sampled comments across 1,727 PRs, 90.1% of them confidently classifiable against the merged diff. Break that number down by category and it stops being a story about AI. 100% of concurrency bugs. 80% of logic errors. 58.1% of bug fixes. 43.5% of refactors. 40.6% of security fixes. That is not a ranking of how hard each problem is. It's a ranking of how checkable the answer is. A race condition either exists or it doesn't, and you can point at the exact line/method that breaks. A security fix is a risk opinion, and opinions get argued with even when they're correct. Same reviewer, same models, same PRs — acceptance collapses exactly where the ground truth disappears. So the agent doesn't have a capability problem. It has a verifiability problem. Now look at what Cloudflare did with that same problem. Since the start of 2026 their AI reviewer has flagged almost 230,000 deviations from engineering standards and withheld approval on about 16,000 of them. Under 7%. The interesting part isn't the reviewer. It's that they wrote the standards down first — a central repo called the Codex, structured RFCs, every requirement marked SHOULD or MUST, each with an owner and a lifecycle state that moves guidance → observation → enforcement. That lifecycle is the whole trick. A new rule doesn't get to block your merge on day one. It gets logged as signal, it earns its way up, and only then does it become a gate. Cloudflare didn't make the model better at judgment calls. They converted judgment calls into citable rules, so the reviewer stops saying "I think this is risky" and starts saying "this violates a MUST that has a name and an owner." By the way, that's the same progression a feature flag goes through — recommendation, canary, enforced. Nobody flips a new rule straight to blocking for the same reason nobody ships a flag straight to 100%. And the split underneath is doing quiet work too: deterministic rules stay with linters and static analysis, AI only gets the ones that genuinely need context. So here's the question I'd now ask before pointing an agent at anything: What artifact does this agent's output get graded against, and does that artifact already exist? If it exists — merged diffs, a passing test suite, a schema, a reconciliation, a rollback — start there. That's where you get a number instead of a demo. If it doesn't exist, your first project isn't the agent. It's the Codex. Write the rules down, give each one an owner, let them earn their way to enforcement. Cloudflare's real work wasn't the reviewer; it was building the corpus that made the reviewer's findings citable in the first place.

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  Patrick Posner (@patrickposner_) reported 21 minutes ago

  @pressiveweb Cloudflare FPC does not solve this problem at all - it's just very fancy tech that suffers from the same problem as traditional WP - the cache simply isn't running on your server anymore.

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  João Cerqueira (@crqrdotcom) reported 22 minutes ago

  i've been an Hey customer before, decided to try it again. setting up email forwarding/smtp sending with Cloudflare was a breeze.

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  Jamie Madden (@dcwhatwhat) reported 23 minutes ago

  @robj3d3 @vercel My own server + cloudflare, I never have to worry about hitting limits. That being said, AI indexing has chewed through multiple hundreds of GB's indexing the same things. Most ignore my robots.txt and any other 'stop indexing me' Cloudflare blocking has worked.

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  Diego Siqueira (@diego1) reported 24 minutes ago

  @thekitze @frncsbkr @Cloudflare CloudFlare Email Sending keeps changing my daily limit randomly. Sometimes, it’s 2000 emails per day, and the next day, it drops to 100 emails per day. No bounces or any other issues, it’s just pure randomness. Apart from that, it works great and its cheap

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  i am jack’s autism (@tylerjharden) reported 26 minutes ago

  @burcs @AndreEduardoPM I have the time and the talent. Make me a @Cloudflare partner / premium support or playbooks and I’ll cook on this 24/7/365 personally and with the clankers & yappers. I remember begging Cloudflare for an API-access product to register/resell domains back in 2019.

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  Tarek | Security Engineer (@tarekeleter) reported 28 minutes ago

  Stripe is slowly buying up all the infinity stones to be a one stop shop - Next is a service like netlify or vercel to easily deploy websites + services to better compete with cloudflare their both headed for same destination.

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  Rajashekar Sudireddy (@raja_sudireddy) reported 31 minutes ago

  You do not need a $2,400 to $3,600 annual subscription to run autonomous agent workflows. Pairing a local Hermes installation with $10 to $20 per month in standard API access replicates the viral automation stacks being shared online. Here is how to structure the core agent workflows without enterprise subscription overhead: 1. Local Device Control Add smart appliances to Home Assistant, generate an access token, and provide it to the Hermes gateway. Connect Hermes to Telegram or WhatsApp to issue natural language commands directly from your phone. 2. Full-Stack Web Deployment Grant Hermes terminal access, *** tooling, and Cloudflare/Vercel integrations. Instruct it to build, run local tests, deploy to production, and configure DNS records through connected tools. 3. Inbox & Cloud Decluttering Connect Gmail and Google Drive via MCP. Run scheduled read-only audits with strict safety rules: archive marketing newsletters and social notifications, while preserving invoices, receipts, and personal threads. Require one-click approval before modifying data. 4. E-commerce Support & Refunds Route support emails and Stripe MCP into Hermes. Configure the agent to verify customer eligibility against your return policy, locate the transaction ID, and stage the refund for manual sign-off. 5. Modular Multi-Agent Operations Avoid relying on a single monolithic prompt for complex operations. Divide tasks across isolated sub-agents: - Inbox Agent: Extracts incoming work orders from email. - Scheduling Agent: Queries calendar availability and matches time slots. - Communication Agent: Drafts SMS and email updates to clients. - Coordinator Agent: Dispatches sub-tasks and surfaces blocking issues to Slack. 6. Programmatic Asset & Media Creation Connect your repository and image generation APIs via the Nous Tool Gateway. Direct the agent to inspect placeholder assets, write prompts matching the game or UI context, generate visual files, resize them, and commit code updates. Setting bounded permissions, using MCP connectors, and keeping high-stakes actions behind manual approvals gives you full agent capabilities at API cost.

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  Full Stack Patriot (@fullStackRebel) reported 32 minutes ago

  If you're all really want to cack your britches... Cloudflare moved a lot of its internal and external IT insecurity s*** to india. If they have even a moderately bad day , a quarter of the internet goes down for hours