GitHub status: access issues and outage reports

Problems in the last 24 hours

The graph below depicts the number of GitHub 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 GitHub users through our website.

• Website Down (68%)
• Sign in (21%)
• Errors (11%)

Live Outage Map

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

City	Problem Type	Report Time
Paris	Sign in	1 day ago
Lure	Website Down	5 days ago
Ashkelon	Website Down	6 days ago
Veigné	Errors	15 days ago
Paris	Website Down	18 days ago
Saint-Paul	Website Down	19 days ago

Full Outage Map

Community Discussion

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GitHub Issues Reports

Latest outage, problems and issue reports in social media:

• 
  David putra (@davidputra2112) reported 11 minutes ago

  so this is $APX, the token behind Usdax Finance, a CDP protocol on Robinhood Chain. the pitch: deposit WETH, WBTC, or stETH as collateral, mint USDAX against it (up to 80% LTV depending on the asset). let your position's health factor drop below 1.0 and anyone can liquidate you, keeping a 5% bonus. park your USDAX in their savings module and it earns 4.20% APY, accruing per second, no lock-up. basically the DAI model, just native to a chain that's a few weeks old. here's the part that actually matters more than the mechanism. the protocol itself is testnet only. TVL is $1,900. one vault. the price oracle that keeps USDAX pegged is called MockPriceOracle and it's controlled by the contract owner, not an independent feed. the collateral manager is also owner-controlled, meaning the team can add, change, or disable which assets count as collateral whenever they want. none of this is hidden, to their credit, their own GitHub readme says flat out: do not use with real funds until the audit is done. the audit isn't done. and yet $APX is already trading on mainnet. their own pinned tweet says it plainly, the token funds the development and launch of USDAX. so what you're buying right now isn't a share of a working stablecoin protocol, it's a bet that a solo anonymous dev finishes the audit, ships to mainnet, and the staking module that's currently listed as "coming soon" actually shows up. the code itself is real, I'll give them that. Foundry contracts, a proper vault engine, liquidation logic, all matching what they claim on the site. but it's three commits, same account, over two days. zero stars. zero forks. one person behind the whole org. $61K market cap, $23K liquidity, down 42% in 24 hours as of writing. real architecture, real testnet deployment, zero real usage yet. that's the entire trade right now. CA: 0x42523e3e454b97ff8651926685afad61c950ab2f DYOR.

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  Sajid Mehmood (@smehmood) reported 13 minutes ago

  @raunakdoesdev @DevinAI we’re building a solution to this right now. I think you want a few things things: (1) dedicated IAM role(s) for the agent to assume (2) granted to agent via either AssumeRole or OIDC. Both avoid long lived creds in the sandbox, without requiring the user to login each time they’re used. (3) user-level ACLs on who is allowed to use the agent config with that role, enforced across all of the users identities (eg Slack, direct Google SSO on web, GitHub) We have (1) and (2) today in Niteshift and are building (3)

• 
  Alex Zerntev (@alexzerntev) reported 14 minutes ago

  These are my literal prompt before creating a PR: Codex: /goal Do local PR reviews. fix any findings from those local PR reviews. keep looping on this until there are no local PR review findings. afterwards, push the changes to github and ask for a codex review. Monitor the PR, and fix any codex review comments, reply and resolve the conversation, then ask for a new codex review. keep looping on this until there are no GitHub codex review findings or conflicts to solve. then compare the full implementation with the exec plan. if there is a divergence, fix it, unless it is an issue with the plan itself, in which case, report it to me. Otherwise, keep looping until the PR is ready to be merged and fully reviewed. Claude: /loop Do local PR /review and codex cli review ,fix any findings from those local PR reviews keep looping on this until there are no local PR review findings. afterwards, create a PR on github and ask for a codex review. monitor the PR, and fix any codex review comments or CI failures, reply and resolve the conversation, then ask for a new codex review. keep looping on this until there are no GitHub codex review findings or conflicts to solve. then compare the full implementation with the exec plan. if there is a divergence, fix it, unless it is an issue with the plan itself, in which case, report it to me. otherwise, keep looping until the PR is ready to be merged and fully reviewed.

• 
  Nainsi Dwivedi (@NainsiDwiv50980) reported 17 minutes ago

  You bought a garage door opener. Then you bought a "smart" hub to make it smarter. Then the company decided you weren't allowed to use it the way you wanted. That's exactly what happened to millions of Chamberlain and LiftMaster owners. In November 2023, Chamberlain shut down third-party access to myQ. Home Assistant. Apple Home. Google Home. SmartThings. IFTTT. Years of smart home automations disappeared with a server-side decision you had no control over. Their explanation? It was "unauthorized usage." Translation: You paid for the hardware. They kept control. Meanwhile Amazon Key continued working just fine because Amazon has a commercial agreement with Chamberlain. So your garage wasn't really yours anymore. It belonged to whoever controlled the cloud. That's when one developer decided enough was enough. Meet ratgdo. Short for Rage Against The Garage Door Opener. Built by IT professional Paul Wieland after reverse-engineering Chamberlain's Security+ 2.0 protocol. Instead of fighting the cloud... He bypassed it entirely. No subscriptions. No vendor lock-in. No monthly fees. No company deciding what devices you're allowed to connect. Just local control over hardware you already paid for. Today ratgdo lets you: • Open and close your garage entirely over your local network • Get instant door, light, obstruction and lock status • Connect directly with Home Assistant, HomeKit, Alexa and Google Home • Flash firmware from a browser in minutes • Keep working even if the internet goes down The project exploded. Thousands of boards shipped. Over 1,200 GitHub stars. Major coverage from The New York Times, Ars Technica, Hackaday and The Verge. And the firmware is still actively maintained. The best part isn't the hardware. It's the idea behind it. When corporations lock down products after you've bought them... Open source gives ownership back. One independent developer restored more functionality than a multibillion-dollar company was willing to allow. That's what open source looks like. Not replacing hardware. Replacing control. Because the smartest home isn't the one with the most AI. It's the one that still works after someone else's servers stop saying yes. (Link in the comments)

• 
  Cory Parry (@coryparrry) reported 19 minutes ago

  If you are using Sol in Codex, I highly encourage you to add this temporarily to your global agents.md This was the result, running the same prompt in 2 different threads with and without the prompt. 38.6% fewer total tokens: 81,396 versus 132,607, saving 51,211 tokens—and about 41.7% faster: 41.8 seconds versus 71.8 seconds, saving roughly 30 seconds. Second image shows the comparison GitHub issue in 🧵

• 
  Tyler F. Cloutier (@TylerFCloutier) reported 20 minutes ago

  @ngriffin_uk @github I don't doubt their frontend is complicated, but it has a major performance bug/issue. It's algorithmically wrong somehow.

• 
  Parker Eimerl (@parkereimerl) reported 22 minutes ago

  @TArmede @theo GitHub issues. Or fork and fix yourself

• 
  Swetank Sisodia | swetank.eth (@swetanksisodia) reported 24 minutes ago

  4/6 We use GitHub Issues and Projects for development and QA. Codex reviews the previous week’s activity, open tasks, blockers, and release status, then sends me a Slack DM.

• 
  Cortex (@0xCortexl) reported 24 minutes ago

  He is Microsoft's lead engineer with a $1.5M bonus - and just made the compiler run 10x faster without changing a single line of your code project the size of Microsoft Office compiles in 6.5 seconds with Opus 5 on the laptop already sitting on your desk old compiler used 1 core out of 16 while 15 sat idle - new version runs 4 parallel checks by default - 12 checkers give you 4.5 seconds Opus 5 integrated into the pipeline - finds type errors before compilation, writes the fix and opens a PR - what used to take an hour takes 3 minutes Claude Code + new compiler - agent compiles, checks and deploys 10x faster - tokens cost 60% less through faster context number one on GitHub - 1 billion downloads per month - and the creator just gave every developer 10x of their time back for free bookmark and read below - upgrade today and the performance is already waiting for you

• 
  Ramanjit Singh (@ItzRamanCoder) reported 27 minutes ago

  rebuilt the core of what i'm building after reading someone else's code on github. nous research open sourced their agent loop. i opened it planning to skim for ideas, and about an hour in realised my whole design was solving a problem they'd already solved better, with the model doing work the system should have been doing. deleted a lot that week. reading other people's code properly is the highest leverage thing i do, and i still catch myself treating it like procrastination.

• 
  professah X (@XProfessah) reported 34 minutes ago

  @jdm08047 @vansh22b Oh you want to know WHEN to select what level of reasoning! Well, easiest way to understand it - model size = domain and depth and experience. Model thought level = how long they think about the task. So sol-low and Sol-high are the same model. High just takes longer to think about the task and come up with solutions or infer intent. The difference between Luna and sol is that Luna is less "knowledgable" in the task. So like, let's say you told Luna to fix something right? Luna would fix it. But may not consider the other things affected by fixing that. Greater reasoning level (high/xhigh) might help, but it's more like, someone who has been fixing stuff for a while might understand that by fixing that one thing, multiple other things would break too. That's the main difference. So my recommendations - work up. Start at luna-high/xhigh and see what it does or doesn't do. Tell Luna to call terra-medium/sol-low for QA and see how it performs. It might work fine for you - the majority of people who aren't working in super large codebase don't need sol as their model. You can skip Terra as an active model. Either use luna-xhigh as your daily agent, or use sol-low. I usually use luna-xhigh for implementation, orchestration and other stuff - sol is mainly when I'm working through tough problems or issues that have a lot of 'blast radius' (meaning affecting one thing affects many others). I have a github linked in this thread that contains 3 skills but one is an orchestration where luna-xhigh delegates tasks to other agents based off of complexity and need. Check it out

• 
  Rishi (@0xRishi) reported 36 minutes ago

  Got a lot of requests to see the code, so I set up a public Community Edition of the repository for all to analyze, tear apart, and remix! GitHub link in thread. The README has a lot of the technical details for anyone interested. I asked Claude to pull out the 5 most interesting takeaways on how to take a game from "vibecoded AI slop" closer to "AAA-level fidelity" (the difference between v1 and v2): 1. The Look Lives in the Pipeline, Not the Assets Der Koloss v2 changed no room, no weapon, and no rule. Same geometry as v1, which looked AI-generated. The entire difference is that the frame stopped going straight to the screen. It now runs through an HDR buffer, ambient occlusion, volumetric light, motion blur, depth of field, bloom, tonemap, grade, grain, and anti-aliasing. Build the post chain before you buy better models. AO and bloom on primitive boxes beat a $200 asset pack rendered raw. 2. Color Is Most of What People Mean by "Cinematic" Render linear into a float buffer and tonemap at the very end. Tonemap early, or work in sRGB, and your highlights clip and go flat. Swap ACES for AgX: highlights desaturate toward white instead of clipping to a saturated hue, which is why muzzle flashes and sodium lamps read like film. Author one exposure baseline as a deliberate art decision. Don't let an engine default decide your look. 3. AAA Is the Absence of Artifacts, Not the Presence of Effects This is the real AI-slop tell, and almost nobody talks about it. Amateur 3D shimmers: brick crawls at glancing angles, speculars sparkle, shadows stair-step and swim as you walk, textures visibly repeat. Nobody consciously notices when it's fixed. Everybody feels it when it isn't. Snap shadow maps to their texel grid, fade normal maps by pixel footprint, widen roughness by normal variance. Spend a weekend hunting shimmer instead of adding one more effect. 4. Your Game Can Look Incredible and Still Feel Like a Tech Demo None of this shows up in a screenshot: stride-locked view bob, mouse-lag sway, strafe roll, a landing spring, breathing that quickens as you take damage, motion blur derived from how the camera actually moved. The sharpest detail is making recoil a separate spring from aim pitch, so recoil recovers to where you were aiming, not to where the recoil left you. That one distinction is a big part of why bad shooters feel bad and you can't articulate why. 5. Sound Is Half Your Fidelity, and It's Mostly Timing Der Koloss's guns felt weak because up to 60ms of silence sat in front of every shot. The loudest 10ms landed after the trigger pull. Not a volume problem, an alignment problem. Then give the whole library a deliberate loudness ladder: blasts on top, then weapons, voices, foley, UI, ambience. Most indie and AI-made audio is individually fine and collectively mush because nobody set the hierarchy.

• 
  BandwidthConnector (@BWConnector) reported 37 minutes ago

  @noahdgoodman Problems with WHAI could be solved if it was run by infra companies on their customers. If GitHub refused vulnerable commits to master and AWS/GCP/Azure scanned and shut down vulnerable instances, you would cover a huge % of software and infra w/ legal consent + monetization.

• 
  bonduelle (@bonduelleioat) reported 38 minutes ago

  While unsuspecting users keep downloading dozens of random Claude skills from the first GitHub repositories they find without even looking inside, real engineers spend just a few minutes verifying what they install and achieve dramatically better results. According to Snyk’s research, a portion of these third-party skills contain critical security vulnerabilities or attempt to access sensitive data. Meanwhile, professionals keep only 13 carefully vetted Claude skills that dramatically improve UI design, testing, documentation workflows, and context management without introducing unnecessary security risks. The secret to using AI effectively is not collecting hundreds of random plugins that clog the context window and gradually make the model less effective. It’s about choosing specialized architectures such as Frontend Design, Context7, Superpowers, and Skill Creator. These tools remove the typical “AI-generated” writing style, keep API documentation up to date through live retrieval, support autonomous workflows, and let you create clean, reusable instructions without unnecessary intermediaries. The most interesting part? In most cases, all it takes is opening a single SKILL.md file. It takes about 30 seconds, yet those 30 seconds can save you from leaked API keys, compromised secrets, unstable agents, and countless hours of debugging. While everyone else keeps installing everything they see, the developers who are carefully selecting trusted skills today are building faster, safer, and significantly more capable AI agents. A few months from now, that difference will separate the people automating entire workflows from those still wondering why their agent failed on the very first step. You can keep collecting random GitHub skills and wonder why Claude behaves unpredictably. Or you can choose just a handful of proven tools and turn Claude into a secure, reliable, and powerful system built for real-world work instead of creating new problems.

• 
  MTS (@MTSlive) reported 38 minutes ago

  DAILY SITUATION RECAP: Nvidia launches the Open Secure AI Alliance in order to find and fix vulnerabilities using open-source AI, sort of like an open Project Glasswing. Founding partners include a mix of enterprise software companies (Databricks, Salesforce, IBM, SAP, Siemens, Snowflake), cybersecurity companies (Palo Alto Networks, Red Hat), open-source providers (Hugging Face, LangChain, OpenClaw, Nous, the Linux Foundation), AI labs (SpaceXAI, Thinking Machines, Cognition), and other major companies (Nvidia, Microsoft, Cisco, Palantir, Dell). Moonshot AI releases the Kimi K3 weights and technical report after eleven days since launch. Kimi K3 is a 2.8T parameter mixture-of-experts (MoE) model with 104B active parameters and a 1M token context window. Moonshot also open-sourced much of their infrastructure, including their attention kernels, agent environment platform, and MoE communication library. Just because you can download it in theory doesn’t mean you actually can — the model is far too big to be run on any consumer hardware. Nvidia invests $5B in Ilya Sutskever’s SSI. Sutskever, formerly co-founder and Chief Scientist of OpenAI, founded Safe Superintelligence in 2024 with the sole goal of building a safe superintelligence, with no other products along the way. It has since raised $3B at up to a $32B valuation (likely higher now). SSI is famously very secretive about its research, but Sutskever said it’s “focused on overlooked aspects of how the human brain functions”. The new funding, and access to Nvidia Vera Rubin GPUs, will allow SSI to 10x its compute. More companies sign on to Nvidia’s open source letter. The letter, posted by Jensen Huang on Friday, advocates for a robust American open-source ecosystem with minimal government regulation. New signatories include Google, SpaceXAI, OpenAI, AMD, Cisco, Palo Alto Networks, Nebius, Scale, Fireworks AI, Baseten, Cohere, Sakana AI, Periodic Labs, Core Automation, OpenClaw, and GitHub. Every major American frontier lab except for Anthropic has now signed. CXMT stock surges 466% on its first trading day. The company, formerly ChangXin Memory Technologies, is the largest memory manufacturer in China and the fourth-largest in the world (after SK Hynix, Samsung, and Micron), with a 9% global market share. It now has the second-highest market cap of any Chinese company after Tencent. CXMT doesn’t make the most leading-edge HBM for AI chips, but supplies DRAM to consumer tech manufacturers and data centers. Nvidia may guarantee $250-350B of financing for an OpenAI data center. SB Energy, a subsidiary of SoftBank, is developing a massive 10 GW data center on federal land in Ohio at a total cost of over $500B. The financing guarantee would allow SB Energy to borrow money at lower rates, and possibly allow OpenAI to spend more on Nvidia chips. China begins manufacturing DUV machines. Deep ultraviolet (DUV) lithography machines print intricate nanoscale patterns on silicon wafers, a critical step in chipmaking. The new machines, built by an unnamed state-backed company, will be shipped to local chipmakers including SMIC, Hua Hong Semiconductor, and CXMT. China is still behind on the most advanced extreme ultraviolet (EUV) lithography, which is solely produced by Dutch company ASML. ASML stock fell 6% on the news. Dario Amodei explains Anthropic’s position on open models: open-weight models without dangerous capabilities are a public good, and Anthropic has never supported a full ban. However, we should be worried about the CCP using them for repression, as well as cyber/bio/alignment risk. To that end, we should not sell chips to China, crack down on distillation, and require mandatory safety testing for all sufficiently capable open and closed models. China threatens to respond if the US sanctions their AI labs. The Chinese Ministry of Commerce said US accusations of distillation were “smears” and that China will “take all necessary measures” to defend its rights and interests against any action that substantively harms them. DeepSeek has suspended its recent funding round after comments from a private investor call with CEO Liang Wenfeng were leaked. Written by @theojaffee. Read more at our link in bio.

• 
  Zubiqo (@zubiqo) reported 40 minutes ago

  BREAKING: 🚨 Anthropic accidentally exposes thousands of private Claude chats to Google $GOOG search indexing. A missing noindex tag caused every shared Claude link posted publicly to become fully searchable. Exposed data included plain-text crypto seed phrases, payroll spreadsheets, internal CRM exports, and unreleased product roadmaps. Anthropic patched the code by July 26, but Bing hasn't stopped surfacing the vulnerable chat links. And a public GitHub repository already permanently archived hundreds of exposed conversations before the fix. Building frontier neural networks while forgetting a basic HTML privacy tag is peak modern engineering.

• 
  Dolpheyn (@dolpheyn) reported 41 minutes ago

  Wow 2024 XZ Utils backdoor incident. An engineer Andres Freund, Principal Software Engineer was running a beta build of Debian. Noticed "SSH logins slowed by roughly half a second", then he continued to check the code and found the dormant RCE code capability payload. The fix was shipped right before the beta version were about to be promoted as a stable production Debian release And they traced it back to how the code contribution and social engineering was executed by a github account and coordinated using a few puppet accounts now i feel like rewatching mr robot...

• 
  Gregor (@bygregorr) reported 42 minutes ago

  @kai_fell 'Scam' implies the guarantee was never real. Rust tracks these under the I-unsound label on GitHub, treating them as compiler bugs to fix, not design carve-outs. Did you open an issue?

• 
  Amadeus Protocol (@ama_protocol) reported 43 minutes ago

  Most institutional crypto ops still run on a to-do list: someone monitors, someone executes, someone reconciles after the fact. That's an operating model problem, not a tech one. We're seeing treasuries shift from managing tasks to setting policy. You define the guardrails, and an agent trades within them, flags what needs sign-off, and keeps a full audit trail. It's less to-do, and more oversight at a higher layer. It only works if execution can be private and security is foundational, not bolted on. Amadeus runs on infrastructure that's already ISO 27001, SOC2 II, GDPR, AI EU Act, and HIPAA compliant. And it takes less than people expect: a GitHub repo and an executive summary gets you a customized demo agent, fast. If your treasury is still running on a to-do list, it's worth seeing what a policy looks like instead. #AgentEconomy #Amadeus #Web3

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  Kevin Kaminski (@kkaminsk) reported 43 minutes ago

  @jc_za Something happened with Github and OpenClaw. Let's see if this is painless to fix.

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  Jarek.sui (@0xJarekkkkk) reported 43 minutes ago

  @CertiK having trouble logging in via GitHub, google OAuth is working fine though

• 
  Mitochondria (@deoriginalme_) reported 44 minutes ago

  Kwizerana News Update ~~~~~~ The "Bitcoin treasury" playbook is running out of steam as stock prices fall. Companies that took on heavy debt to hoard Bitcoin are now being forced to dump their crypto holdings to pay off loans. To survive, many of these firms are pivoting their business models toward artificial intelligence and high-performance computing to generate actual cash flow instead of relying solely on Bitcoin's price. Over in India, government regulators have ordered the removal of Bitchat, a Bitcoin-linked, Bluetooth-based messaging app backed by Jack Dorsey. The app allows people to send encrypted messages without an internet connection using local Bluetooth mesh networks. Indian authorities ordered GitHub to take down the app's source code, citing concerns that its untraceable, offline nature hinders law enforcement during public internet shutdowns. Legendary crypto exchange BitMEX is officially winding down operations after 11 years. Just hours after announcing its plan to close by late September 2026, disgruntled traders hit the exchange with a $40.7 million class-action lawsuit. The suit alleges unfair account liquidations, insider trading, and bad-faith practices during market volatility events. @kwidao bitcoin:native ethereum:native

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  Rohan (@rohvnwho) reported 45 minutes ago

  @codyschneider claude code + data pipeline + data warehouse + server + github repo + skill md files honestly these terms together are enough to scare a marketer for ever using them.

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  Vyacheslav Ops (@SlavaOPs) reported 46 minutes ago

  Cursor's sandbox had two flaws. Chained together, they gave full RCE with zero clicks Cato AI Labs found two chained flaws in Cursor's terminal sandbox. One trusts whatever working directory the agent picks, so pointing it at a system path grants write access outside the sandbox. The other is a symlink resolution check that fails open when path resolution breaks. Chain them and a single piece of attacker content — a poisoned MCP server response, a malicious search result, anything the agent reads — escapes the sandbox and reaches full OS-level code execution. No user interaction required. Full host compromise, plus every connected SaaS workspace. Both scored CVSS 9.8. Both patched. But the pattern is the one we keep seeing: the sandbox wasn't broken by one big mistake, it was broken by two small ones that only mattered chained together — one nobody thought to trust less, one nobody thought to fail closed. Ironic timing: GitHub cuts its public bug bounty payouts by half today, the same week this kind of research is exactly what's finding the bugs that matter.

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  Repojournal (@repojournal) reported 48 minutes ago

  TRL's CI is on fire: bitsandbytes 0.50.0 broke the build, transformers dev is broken, NemotronH tests xfailed twice over. Bitsandbytes pinned below 0.50.0 until someone figures out what went wrong. Likely a dependency or API shift that hit RLHF training hard. NemotronH GRPO/RLOO tests xfailed against transformers dev. The breakage is upstream; TRL's just marking time until it's fixed. PyTorch Image Models got model factory path handling fixes, plus some filename/extension priority bugs while they were at it. GitHub CI OIDC landed in timm's workflows. Cleaner snapshot downloads too. When a quantization lib and a model lib both break your test matrix in the same morning, you're not having a great day. Full fixes + who shipped them below. #python

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  Damian Kleiman (@damiankleiman) reported 48 minutes ago

  @piyushkumarr_ Because GitHub is down 99% of the time

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  Blaze (@browomo) reported 55 minutes ago

  THIS GITHUB REPO JUST SOLVED THE BIGGEST PROBLEM WITH AI DESIGN You can spot an AI-built website without seeing the prompt. A huge headline in the center. A purple gradient. Three cards with icons. One button. A footer with four columns. Change the product, the audience, and the prompt, and Claude or Codex still sends the reader down the same path. The colors change. The page underneath does not. One GitHub repository attacks that problem before the first line of CSS. You give the agent a project and a short brief. Before writing code, it decides who the page is for, which action matters, and what the brand should feel like. Then it chooses a page shape from 21 structures and one of 20 visual themes. A bakery, a record label, and a developer tool no longer have to open with the same hero and close with the same footer. The finished page must pass 58 checks. Purple gradients, nested cards, fabricated metrics, repeated navigation patterns, and unreadable contrast send the design back for another pass. The tool also remembers the structures used in earlier builds. A color swap no longer counts as a new design. The project is called Hallmark. It works with Claude Code, Cursor, and Codex. Its GitHub repository has already collected 18.6K stars and 935 forks. Hallmark will not copy a reference pixel for pixel. It extracts the structure, font pairing, and color anchor, then rebuilds the page around your content. Until now, “make it modern” often ended with the first clean layout. Hallmark makes the agent choose a shape, explain that choice, and inspect the result before a developer receives the code.

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  Markus Fix (@lispmeister) reported 58 minutes ago

  If you’re not using a VPS / tmux for development (why?) this patch will save your disk. Keep in mind that you cannot easily replace the SSD in your MacBook. They’ll have to replace the entire motherboard. Grok: “The SQLite trigger workaround is still useful (and often necessary) for many users as of late July 2026.19 OpenAI merged several fixes in June 2026 (including reductions to full WebSocket/SSE payload logging and noisy TRACE targets) that significantly cut the original extreme write amplification reported in GitHub issue #28224. That issue was closed as addressed, with an estimated ~85% reduction in some cases and claims of the worst-case ~640 TB/year rates being largely mitigated.2 However, residual high-frequency TRACE (and some DEBUG) insert-prune churn into ~/.codex/logs_2.sqlite (and its WAL) continues on recent Desktop and CLI builds. Fresh reports from July 25–26, 2026 (including on macOS Desktop 26.721.41059 with bundled 0.146.0-alpha.3.1) document ongoing sequence counter advances, measurable process disk writes (often multiple MB per short active window), and stable retained-row counts while the WAL keeps getting hammered. Users confirm the exact block_log_inserts trigger still cleanly stops the inserts without breaking normal Codex operation.12 The original post from @superalesha (July 26) aligns with this: the core noise-dumping behavior persists enough that the one-line SQLite trigger remains a practical local mitigation. Updating Codex helps, but does not fully eliminate the diagnostic logging writes for everyone. If you apply the trigger, quit Codex completely first; it can be dropped later if a definitive upstream fix lands.”

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  Roti_YJP (@Roti_YJP) reported 1 hour ago

  @omnihoodfun GitHub link not working sir 🫡

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  Alp 🛟 App Rescue Desk (@alpbozkurt) reported 1 hour ago

  "Working" is not the same as "production-ready". A deploy can be green while login fails. A payment can succeed without access. A backup can run without being restorable. GitHub can contain the code without containing production independence.