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GitHub is a company that provides hosting for software development and version control using Git. It offers the distributed version control and source code management functionality of Git, plus its own features.
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.
At the moment, we haven't detected any problems at GitHub. Are you experiencing issues or an outage? Leave a message in the comments section!
Most Reported Problems
The following are the most recent problems reported by GitHub users through our website.
- Website Down (53%)
- Errors (33%)
- Sign in (14%)
Live Outage Map
The most recent GitHub outage reports came from the following cities:
| City | Problem Type | Report Time |
|---|---|---|
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Website Down | 8 days ago |
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Errors | 13 days ago |
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Sign in | 14 days ago |
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Website Down | 14 days ago |
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Errors | 16 days ago |
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Website Down | 29 days ago |
Community Discussion
Tips? Frustrations? Share them here. Useful comments include a description of the problem, city and postal code.
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GitHub Issues Reports
Latest outage, problems and issue reports in social media:
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Eddie Jaoude | DevRel | Open Source (@eddiejaoude) reportedI have many tokens to burn before tomorrow after the Claude reset. Send me your GitHub issues with context π
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Jason Waters (@jasonwaters87) reportedAnthropic just open sourced the code Shopify runs their shopping agent on. Free on GitHub. And Iβm having lunch with a surgeon in San Jose last month and he tells me a patient no shows and nothing happens. Nothing. He has to walk up to the front desk himself and ask βdid you guys call them?β 3 or 4 schedulers looking after 75 doctors. One automated call before the appointment and thatβs it. His own dermatologist sends him three reminders. He called that βan easy fix.β Thatβs a merchant agent. Reminds the patient, rebooks the no show, tells him Thursday isnβt full so he can put a surgery on it. The code is sitting there free. Somebody still has to walk into his office and build it.
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π»ββοΈ (@Nerevarineeee) reported@jiriknesl @napenforcer yeah vscode is bloated electron slop and github....... do i even have to mention the down times and unavailability? it has literally became much worse since ms acquired it, so wtf are you talking about?
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isha (@heeyyaaaaaaa) reportedspent the entire day trying to reproduce a bug for a github issue π₯π«©
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Rituraj (@RituWithAI) reportedπ¨ Someone built a skill that makes AI-written text sound human again. Not a spinner. Not a paraphraser. A systematic rewriter that knows exactly why AI text sounds like AI β and fixes it. It's called Humanizer. 35 patterns from Wikipedia's "Signs of AI Writing." Two-pass rewrite. Shows its work before giving you the final version. Here's the problem it solves. You use Claude to draft something. The output is accurate. The output is useful. The output sounds exactly like an AI wrote it. "Nestled within the vibrant landscape, this pivotal development serves as a testament to..." You know the voice. Everyone knows the voice. And everyone is getting better at spotting it. Humanizer runs that text through 35 specific patterns that WikiProject AI Cleanup identified as the telltale signs. Inflated importance. Shallow -ing analysis. Overused AI words. Em dashes everywhere. Forced groups of three. Fake-candid openings. Answering objections nobody raised. Every pattern. Flagged. Fixed. Here's what one command does. It shows you the first rewrite. Then a short critique of anything still sounding artificial. Then the final version. You see exactly what changed and why. Here's the wildest part. Voice matching. Paste two paragraphs of your own writing before the AI text. Humanizer follows your rhythm, word choice, punctuation, and deliberate quirks instead of its default style rules. The output doesn't just sound human. It sounds like you. One command to install 16 contributors including Claude itself. 4 releases. MIT License. The skill that makes AI writing disappear. 100% Open Source. GitHub link in the comments π
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Josh Hamilton (@nearbycoder) reported@theo If GitHub is down does it fall back to a cached version Iβm guessing?
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Shanica North (@KickAssShanica) reported@ArcyloOfficial Get comfy! For me, my Gmail is a connector. This is OAuth into my inbox. Grok can: β’ search and read mail (body, headers, attachments) β’ draft replies β’ send / reply / forward if you grant write/send β’ label, trash, organize Base hook is often read-only. Send is an extra permission you click on purpose. If you connect it, the bot is sitting in the same box as bank alerts and 2FA codes. That is the whole risk. You can revoke anytime. Grok Bot can also skip my inbox and get its own address (AgentMail / similar plugins). Then it sends and receives from something@β¦.agentmail.to, not from you. I use that if I want an agent that emails people without reading my personal mail. My GitHub OAuth into the GitHub user I sign in as. With the scopes I approve it can: β’ read public and private repos that account can see β’ search code, list branches, summarize PRs β’ open/update issues β’ create branches, push files, open/review/merge PRs β’ delete files if write is on Private repos work only if I granted repo (or equivalent) at connect time. Safer pattern: tell it to branch + PR, not push straight to main. Same revoke page. What it cannot do by default β’ It does not get your password. β’ It does not stay logged in if you disconnect the connector. β’ It does not magically see my GitHub orgs I never authorized. β’ Connecting email does not connect GitHub, and the other way around. Practical rule for me Do not hook personal Gmail if that inbox has 2FA and money mail unless you want an assistant reading it. GitHub is useful if I chose to still keep repos, ask it to show the diff before any write. If you only wanted βwhat does this button do,β that is the button: it is not a viewer badge. It is a key you can take back. This is what Iβm experiencing with learning to use it. Itβs different and Iβm starting to like it.
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Ishank (@IshankDev) reported7/ 16k+ GitHub stars. Built for people who want control, not another marketing-suite login.
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OverlyPositivePatriot (@JBrowsing2023) reportedAs a IT professional, I have a recommendation @github should take seriosuly. We should only get a notifican from Github when it is up rather than when it is down. Reliability is a disaster for this product.
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R 'Nearest' Nabors (they/them) (@rachelnabors) reported@Paul_Kinlan Honestly, the linear method helps. Think of it as having a never-ending trough of issues that agents can pull from. I don't even use linear. I just use GitHub with linear flavouring added
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Chris (@c_hri_s) reported@Anime0t4ku Sorry - was an idiot and wasn't signed in. Instead of something useful github just says 'opening issues is restricted on this repository'
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Enfantshustle (@Ownerthoughts) reportedHonestly, I always thought bots like this were some kind of magic for the elite, but here everything is broken down step by step. However, after reading it, one main question stuck in my head: how realistic is this for an average person who has no coding experience? I get that there's a GitHub and all that, but for me, just "running a script" is practically a heroic feat. Here's another thing that bothers me. The article does a great job explaining the architecture, but I still don't understand how much all of this will actually cost in the end. Besides Solana transaction fees (which, by the way, get absolutely insane during peak hours), you also have to pay for each Grok API call per token. The article says that for each approved token, it takes three model calls, and one of them is the expensive grok-4. If the bot scans thousands of launches per day, I'll just burn through my entire deposit just paying for the API without even buying anything. Maybe the author knows β is it actually possible to turn a profit after these expenses, or is this just a hobby for those with an unlimited subscription? Also, regarding Grok Bot as the "orchestrator" β it sounds cool in theory: describe the task and it does everything itself. But in practice, as I understand it, this still requires your account to be constantly online and have access to your wallet. And if it decides to buy some scam token at 3 AM that passed all the checks, I'll only have myself to blame. The article correctly mentions risk management, but this "trust" aspect is what scares me the most. In short, the idea is fire, but for me, this post feels more like a warning than a call to action. There are just too many things you have to keep in mind to avoid getting rekt. Although, maybe if you try it with really tiny amounts, it could be an interesting experiment. Author, if you're reading this β could you please make a separate post about the real, live results once everything is actually running, not just on paper? I'm really curious!
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kenny (@kennyistyping) reported@0xDmitry it's a database/indexer issue, nothing we can do to help it in Github will be fixed, but it's going to be a few days because the current dev is part time and busy with his day job appreciate the offer though! is what it is and I'm not actually stressing, just thinking about what could be with a bit more resources
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Konstantin Elfimov (@elfh78) reported@topjohnwu Sorry for posting in the wrong place - I was trying to add magisk bug report on github and alway got errors with automatic issue closing. Is there any possible way to send it directly to you?
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Shawn Yeager (@shawnyeager) reportedMy @bot keeps reaching for the browser and `gh` instead of using the GitHub plugin. Known problem?
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Straggler Liu | AI & Semis (@StragglerLiu) reportedNVIDIA($NVDA ) Is Paying $14B for a Company With $150M Revenue. That's Not Financial Logic β It's Ecosystem Control. NVIDIA is in advanced talks to acquire Hugging Face for ~$14 billion ($12.9B acquisition + $1B retention), per Bloomberg. To put that in perspective: Hugging Face does ~$150M in annual revenue. That's ~86x revenue. Microsoft paid ~1.6x revenue for GitHub. Google paid ~3.5x revenue for DeepMind. NVIDIA is paying 20-50x more on a revenue multiple basis. The premium is not for revenue. It's for control of the AI developer ecosystem. What is NVIDIA buying? Hugging Face hosts 500,000+ models, 250,000+ datasets, and serves millions of developers. It is the single most important distribution channel for open-source AI. If you build AI, you use Hugging Face. That makes it the front door to AI development. Why NVIDIA is paying this premium: 1. The "NVIDIA triple lock." NVIDIA's hardware lead (GPU) is real. Its software lead (CUDA) is a moat. But the third lock β the developer workflow β was missing. Hugging Face is that workflow. Developers discover models on Hugging Face, deploy them, and optimize them. Whoever controls that discovery layer controls which hardware gets used. 2. The GitHub analogy, inverted. When Microsoft bought GitHub, developers were already using GitHub. Microsoft didn't need to capture them β it needed to prevent Amazon/Google from doing so. NVIDIA faces the opposite problem: developers are already using NVIDIA hardware. But they're discovering and deploying models through a neutral platform. NVIDIA is eliminating that neutrality. 3. The long game: inference, not training. NVIDIA dominates training. But inference is the bigger TAM β and it's more fragmented. If NVIDIA controls the model discovery and deployment layer, it can steer inference workloads to its own stack. That's a 10-year strategy disguised as a 14-billion-dollar acquisition. Who wins, who loses: NVIDIA (NVDA): Acquires the developer distribution layer. The most important strategic move since CUDA. Shifts the valuation case from "chip cycle" to "platform economics." Competitors (AMD, INTC): Lose neutral access to the primary AI model distribution channel. This is a structural headwind that no amount of hardware catch-up can fix. Cloud providers (MSFT, AMZN, GOOGL): Hugging Face was a neutral hub. If NVIDIA controls it, cloud providers risk being disintermediated from AI workload decisions. The open-source community: The platform that was built on openness is now owned by the dominant hardware vendor. Neutrality is the first casualty. The capital question: Can NVIDIA integrate Hugging Face without destroying its community value? If yes, the $14B is cheap. If no, it's a very expensive mistake. The answer will define whether NVIDIA becomes the AWS of AI β or just another hardware company with an expensive acquisition. Note: Acquisition details based on Bloomberg reporting; not confirmed by NVIDIA or Hugging Face. Revenue multiple comparisons based on publicly reported figures.
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Rusty Williams McMurray (@1RustyMac) reportedPersistent AI doesnβt have a supply chain problem at the model. It has a supply chain problem at the moment it changes its mind. Personality drifts. Tools get installed. Memory accumulates. The thing you shipped on Monday is not the thing answering on Friday. We can attest who built the weights. We still cannot attest who authorized what the agent became on Tuesday. That is the hole. Who is allowed to let it change? We built Living Supply-Chain Security for Persistent AI Organisms around one law: The organism may propose evolution. It may not authorize it. No trace, no drift. If an agent wants a new personality, a new tool, a new maturity, or a rollback β that change does not happen because it felt confident. Confidence is not a key. Self-narration is not evidence. Evidence is not interpretation. Interpretation is not authorization. Authorization has to come from outside the organism, bound to the exact change, used once, and written into an append-only history. Even a rollback cannot erase the record. You can restore a prior state. You cannot pretend the detour never happened. Default-deny. Hash-chained. Externally signed. We froze battery v1 on July 5 and ran it against the paperβs own claims. It held. That is executable evidence. Not a proof. Not a production blessing. Not βalignment, solved.β If it canβt be attacked, it isnβt finished. GitHub later this week. Come try to break it.
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siggy bilstein (@sbilstein) reportedfyi if you sync a GitHub repository to Cursor Origin and GitHub is down for whatever reason, you can still clone and fetch from that repo. weβre also releasing something pretty soon that will let you push to that repo so you can keep grinding πͺ
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Jeremy Scott (@listwithjeremy) reported@Coexisteven @Atropa_414 @atropa_pls Github is down I see......anywhere else we can read...I've been digging in it when I can since I was kindly introduced.
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Kevin Minnelli (@minnelli) reportedWTF - Grok Bot can't fire on schedule to save it's life. The scheduled routines are just broken and at best unreliable. I want to love this product. When you set the cron job it doesn't work. It tells you try Cloudflare, sure let's set that up and burn tokens, then that doesn't fire to wake them. Oh, let's try GitHub now and use that....all failed. I had to wake it again this morning before the market opened. Anyone else feeling frustration in this regard?
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Vigneshwer Ramamoorthi (@vigneshwer_ram) reportedI keep thinking the βAndroid moment for robotsβ wonβt come from a humanoid with the best walking demo. itβll come when some cheap-enough piece of hardware gets into thousands of developersβ hands and people stop waiting for the manufacturer to decide what the robot is for. Zeroth just launched Bridge in China: 88 cm, ~13 kg, two-finger grippers, open motion-control APIs + SDKs, mocap/VR integration, and an OpenBridge ecosystem where developers can publish robot skills. the Geek Edition is reportedly Β₯8,888. that price is the part that caught me. because once capable embodied hardware starts approaching laptop money, the experimentation surface changes completely. I want the Raspberry Pi phase of robotics. weird university projects. teenagers making terrible robot apps. researchers abusing the hardware for things it was never designed for. 500 GitHub repos implementing slightly different ways to pick up a cup. the robotics industry is understandably obsessed with getting robots into factories. Iβm almost equally interested in what happens when we get enough robots onto developersβ desks
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volkdude85 (@volkdude85) reported@SentientSquirel @linuxuser1996 So you are you scared of github then. Look dude I have fun on computers and don't take myself seriusly because I have destroyed enough OS's over to not worry about it because I just fix it, If the contents of your PC make you this paranoid its time to check your kink.
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smore (@babachefz) reported@ZixuanLi_ @huggingface asking support questions in someone's hype thread is a crime. check the docs, check the github issues, it's probably not listed yet because it dropped like 6 hours ago.
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LLL (@triplellltrbl) reportedYou know it's so funny to me That in today's age there are so many people that are just straight up copying workflows, AI automations or GitHub repos Without even thinking twice about what the workflow actually does or how it works They just watch some video, see the output, think, "Oh that's cool. I want that," and then try it Then when it doesn't work they get angry, upset, and say that AI is crap or prompting isn't real The issue wasn't the system or the prompt It was a fact that the system wasn't made for you and you don't actually understand it
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CATIRL π³οΈββ§οΈ (@CATIRL_9) reported@mminhamina Google GitHub "open grind", solves your problem
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AJ - 14 y/o developer (@aiwithaj_) reported@Da7_Tech @devindesktop Don't know if there's one left - but I'd use it to continue making contributions to open source software and fixing bugs/issues that were raised on Github as well as making my own open source software
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Alireza Bashiri (@al3rez) reportedSo I built a workflow around that β 1/ Every enterprise project needs proper E2E tests. An agent should reproduce a bug, implement the fix, then generate screenshots or video proving the feature works. "The tests passed" isn't enough. I want evidence. 2/ Every feature starts as a detailed GitHub issue. Requirements, expected behavior, reproduction steps, screenshots, edge cases. Foundry syncs issues and converts them into Beads so agents keep the right context across long sessions. 3/ We only use Claude Code, Codex, or Grok at High/Max effort for implementation. A weak model with a cloud machine doesn't become an engineer. The model still needs enough reasoning to understand the codebase, test its changes, and recover when things break. 4/ Each agent gets its own isolated @asciidotdev Box. It can install dependencies, run the app, open browsers, modify code, execute E2E tests, and collect evidence without touching another agent's environment. One issue. One box. One clean workspace. 5/ When an agent finishes, Foundry checks: - Did the build pass? - Did the tests pass? - Did the E2E flow work? - Is there screenshot/video evidence? - Does it match the ticket? If anything fails, the task goes back to the agent. 6/ Green tasks move to staging. Only after passing staging do we allow supervised production deployment. Agents do most of the work. Humans still own the final gate. The workflow: Slack request β GitHub issue β Foundry sync β Beads context β Isolated Box β Claude Code/Codex β Build + test β Evidence collection β QA staging β Supervised production The stack: PostgreSQL for system state. Beads for agent memory. GitHub Issues for requirements. @asciidotdev Box for isolated execution. Claude Code and Codex for engineering. Each Box costs roughly $0.01-$0.05 per task. The expensive part isn't compute anymore. It's building the system that gives agents context, forces verification, and prevents bad code from reaching production. 100s of agents can write code. The goal is making 100s of agents ship code you can trust. That's what we're building with Foundry.
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Trustur (@TrusturAI) reported@alktraz1986 @andyperbonie Summary of the Dispute and Factual Background The dispute involves a cross-border independent contractor seeking recovery of 3.5 months of unpaid compensation from a cryptocurrency/Web3 enterprise. Key Facts Identified: β’ Contractual Relationship: The contractor entered into an Independent Contractor Agreement, originally signed and renewed in October of the preceding year. β’ Performance & Cessation: Services were performed for 3.5 months without payment. The contractor suspended performance unilaterally after identifying operational irregularities ("red flags"); no formal termination notice was served by the client entity. β’ Corporate Structure: Dual-jurisdiction nexus involving a primary corporate registration in the United States (common in Web3 for operational/marketing arms) and an affiliated entity or headquarters in the Cayman Islands (standard for token foundations, holding entities, or decentralized autonomous organization (DAO) wrappers). β’ Corporate Governance Changes: A recent change in executive leadership (Chief Executive Officer) has complicated direct negotiations. β’ Evidence Base: The claimant holds documentary records, including the signed agreement, email correspondence, task management records, performance deliverables, and messaging logs. Legal Analysis and Strategic Assessment 1. Contractual Breach and Remedies β’ Actionable Breach: Failure to remit agreed-upon remuneration for performed services constitutes a material breach of contract. Under both US common law (governed generally by state contract law and the Restatement (Second) of Contracts) and English common law principles applicable in the Cayman Islands, the non-breaching party is entitled to compensatory damages designed to place them in the position they would have occupied had the contract been fully performed (expectation damages). β’ Unilateral Suspension of Services: When a client commits a material breach by withholding payment, the contractor is generally excused from further performance obligations under the doctrine of anticipatory repudiation or prior material breach. β’ Alternative Claims (Restitution / Quantum Meruit): If the counterparty disputes the formal validity of the renewed contract or claims the scope of work exceeded contractual terms, the contractor may plead quantum meruit (reasonable value of services rendered) and unjust enrichment in the alternative. 2. Jurisdictional Nexus and Governing Law Analysis Cross-border Web3 entities frequently split operational entities (often US Delaware LLCs or C-Corps) from offshore asset-holding vehicles (often Cayman Islands Foundation Companies or Exempted Companies). Determining where to enforce depends on the contract terms: ββββββββββββββββββββββββββββββββββββββββββ β Independent Contractor Contract β βββββββββββββββββββββ¬βββββββββββββββββββββ β Does the contract contain a Choice of Law and Dispute Resolution Clause? β ββββββββββββββββββββ΄βββββββββββββββββββ βΌ βΌ [ YES ] [ NO ] β β βββββββββββββββββ΄ββββββββββββββββ ββββββββββββ΄βββββββββββ βΌ βΌ βΌ βΌ Arbitration Clause Forum Selection US Jurisdiction Cayman Islands (e.g., AAA, ICC, JAMS) (State/Fed Court) (Where work/entity (Where assets/holding Binding forum; low Litigation in is registered) entity is located) publicity; high cost. specified court. β’ Express Choice of Law / Forum Selection: The contract's Governing Law and Dispute Resolution clauses dictate the mandatory venue and legal standards. Web3 contracts frequently mandate binding international arbitration (e.g., AAA/ICDR, ICC, or LCIA). β’ Enforcement in the United States: If the contracting counterparty is the US entity, claims may be pursued in state or federal courts (depending on diversity of citizenship and amount in controversy under 28 U.S.C. Β§ 1332) or small claims tribunals if within statutory monetary thresholds. β’ Enforcement in the Cayman Islands: If the counterparty is a Cayman Exempted Company or Foundation, claims above CI$ 15,000 (~US$ 18,000) are brought before the Grand Court of the Cayman Islands. Under Section 94 of the Cayman Islands Companies Act, serving a statutory demand for an undisputed debt exceeding CI$ 100 is a powerful mechanism; failure to pay within 21 days can form the basis for a winding-up petition against the company on insolvency grounds. 3. Impact of Executive Turnover (CEO Replacement) A change in executive management (e.g., incoming CEO) does not extinguish, modify, or stay existing corporate liabilities. Under the principle of separate legal personality (Salomon v A Salomon & Co Ltd), the contracting corporate entity remains strictly liable for all obligations incurred by previous authorized officers and management. 4. Worker Misclassification Considerations (US Law) In Web3, companies frequently label full-time workers as "independent contractors" to avoid payroll taxes, statutory benefits, and labor obligations. β’ If the enterprise exercised significant control over working hours, methods, tools, and day-to-day operations, the relationship may be legally recharacterized as an employment relationship under the Fair Labor Standards Act (FLSA) or applicable US state tests (e.g., Californiaβs "ABC Test" under AB 5 / Labor Code Β§ 2775). β’ Reclassification exposes the company to statutory wage penalties, mandatory attorney fee shifting, and liquidated damages under state labor codes, significantly increasing the contractor's settlement leverage. Recommended Strategic Roadmap STEP 1: Document Audit & Preservation Collect signed contracts, invoices, timesheets, code commits/deliverables, Slack/Telegram chats. β βΌ STEP 2: Contractual Clause Review Identify governing law, notice requirements, mandatory cure periods, and arbitration clauses. β βΌ STEP 3: Formal Legal Demand Letter (Notice of Dispute) Issue a formal, itemized demand citing breach of contract, interest, and pre-litigation deadlines. β βΌ STEP 4: Pre-Litigation ADR / Mediation Engage management or counsel to negotiate structured settlement or cryptocurrency escrow payout. β βΌ STEP 5: Formal Dispute Initiation / Statutory Demand File for arbitration, bring action in competent court, or serve Cayman Statutory Demand. 1. Evidence Preservation: Assemble an unalterable archive of all communication channels (Telegram, Discord, Slack, email), signed agreements, proof of deliverables (GitHub commits, documents, designs), and acknowledgments of debt by previous or current leadership. 2. Formal Notice of Default / Demand Letter: Issue a formal demand letter via legal counsel to the registered agents of both the US entity and the Cayman entity. The demand should specify: β’ The contractual basis of the claim. β’ Total outstanding principal plus statutory pre-judgment interest. β’ A strict cure period (typically 14 to 30 calendar days). β’ Notice of intent to commence formal legal proceedings and seek legal fee recovery where permitted by contract or statute. 3. Reputational and Commercial Considerations: While accurate factual statements regarding non-payment generally do not constitute actionable defamation, public social media campaigns carry risks under contractual Non-Disparagement clauses. Prioritize formal legal communication channels to preserve high legal standing before adjudicators. References and Legal Authorities Statutory Provisions β’ United States Federal Law: 28 U.S.C. Β§ 1332 (Diversity of Citizenship; Jurisdiction). β’ United States Federal Law: Fair Labor Standards Act (FLSA), 29 U.S.C. Β§ 201 et seq. (Worker status and wage protections). β’ Cayman Islands: Companies Act (2023 Revision), Section 94 (Insolvency and Statutory Demand for Debt). Case Law and Legal Principles β’ Corporate Liability & Successor Continuity: Salomon v A Salomon & Co Ltd [1896] UKHL 1 β Fundamental doctrine of independent corporate personality surviving executive management transitions. β’ Contract Damages: Hadley v Baxendale (1854) 9 Exch 341 / Restatement (Second) of Contracts Β§ 347 β Measure of expectation damages for material breach of commercial agreements. β’ Enforceability of Forum Selection Clauses: M/S Bremen v. Zapata Off-Shore Co., 407 U.S. 1 (1972) β Enforceability of cross-border forum selection and dispute resolution agreements. Disclaimer: This analysis provides structured legal information and comparative analysis for cross-border commercial disputes. It does not constitute formal legal advice or create an attorney-client relationship. Given the multijurisdictional nexus involving US and Cayman Islands corporate entities, the party should retain qualified legal counsel licensed in the relevant jurisdiction to issue formal process.
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Kahris (@chrissotraidis) reported@NickogSo I haven't tested on LiveContainer. Feel free to submit logs via GitHub issues and I'll check it out. I haven't had any other reports of that happening for either build.
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Russ Wonsley (@RussWonsley) reportedMy @bot tells me that the official GitHub login for bot is still broken. Has this been addressed already, or did I miss it?