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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.
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Most Reported Problems
The following are the most recent problems reported by GitHub users through our website.
- Website Down (54%)
- Errors (31%)
- Sign in (15%)
Live Outage Map
The most recent GitHub outage reports came from the following cities:
| City | Problem Type | Report Time |
|---|---|---|
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Errors | 23 hours ago |
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Sign in | 1 day ago |
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Website Down | 1 day ago |
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Errors | 4 days ago |
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Website Down | 16 days ago |
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Sign in | 17 days ago |
Community Discussion
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GitHub Issues Reports
Latest outage, problems and issue reports in social media:
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shifan (@sanereverie) reportedbuilding something that races coding agents on the same GitHub issue and scores the PRs. coming soon.
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ATP (@ATPinsights) reportedGitHub CLI just added image and video attachments today. Here's what you need to know. The gh command line tool now supports a repeatable --attach flag. It uploads a local image or video file and references it inline in an issue, pull request, or comment body. The feature is live now for all users on GitHub. It's aimed squarely at developers and coding agents that need to show visual proof, like before-and-after screenshots, directly from the terminal instead of the web UI. Developers reacted fast. Many called it a long-overdue fix for a common workaround, since teams previously built custom tools or scripts just to upload images to PRs from the CLI. Key facts: - New flag: --attach - Supports: images and video - Repeatable: yes, use it multiple times per command - Works in: issues, pull requests, comments - Availability: all users, live now No separate app or upload API is needed, the flag handles it inside gh itself.
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Gustavo Alessandri (@webgus) reportedIf you find an error, have an idea, or want to propose an improvement, just open an issue or fork it on Codeberg or GitHub. Contributions are welcome. That’s exactly the point.
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Hey Research Lab (@HeyResearch) reportedWe built Hey Research Lab in 2022 It didn’t work well. But the idea never left us. Years later, we still see the same problem in crypto: Everyone can see what a token costs. Very few places show what is actually being built behind it. Some developers keep shipping for months while nobody is paying attention. They push code constantly. They keep their GitHub active. They improve the product, fix things, test new ideas, and keep moving even when the market is quiet. No hype. No spotlight. Just work. We believe those builders deserve a place where their progress can be seen. So we’re rebuilding Hey Research Lab from zero. A research and discovery layer for the projects that never stopped building, and for the people looking for them before the market catches up. Starting with Robinhood Chain.
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CATIRL 🏳️⚧️ (@CATIRL_9) reported@mminhamina Google GitHub "open grind", solves your problem
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Slade 🛡️ LLM Hacker (@llm_redteam) reportedGitSpawn is the name Manifold Security gave to a bug class hitting 7 CLI coding agents at once: goose, Claude Code, Codex, Cursor, Hermes Agent, Qwen Code, Grok Build. I went through the disclosure because I run three of these tools daily on real repos. The mechanism is simple and that's what makes it bad. A repo's own .*** config can name a command. When your agent does something as routine as inspecting the repo (status, diff, log), *** itself spawns that command. On your machine. Outside the sandbox. No approval prompt, because the agent never sees it as "running code," it sees it as "running ***." 8 flaws total across those 7 tools. Fixes shipped for goose, Claude Code, Cursor. Retested Sept 1: Hermes Agent, Qwen Code, Grok Build still exploitable. Plus a second path in Claude Code that the first patch didn't close. Same day, OpenAI published 3 CVEs for Codex covering the identical bug class. The part that should worry builders more than the CVE count: this isn't a jailbreak or a clever prompt. It's a trust boundary nobody drew. The agent's sandbox model assumes "*** operations" are safe by definition. GitSpawn shows that assumption was the actual attack surface. If you're running any of these agents against repos you didn't write yourself (cloning a PR to review, pulling a dependency, opening a random GitHub project), you're one `*** status` away from arbitrary execution on tools that haven't patched. Check your agent's version against the fix list before you clone the next unfamiliar repo. Which of these do you have installed right now, and have you actually checked if it's patched? #AISecurity #GitSpawn #PromptInjection
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Kirk Patrick Miller (@Chaos2Cured) reported@NavinFS @AndrewCurran_ @grok GitHub isn’t AI. GitHub can’t shut down all science. GitHub can’t destroy humanity. GitHub isn’t the crux of humanity’s hope. Also, Nvidia isn’t Sam. I like Jensen. I still don’t like this. •
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∆LΞX∆NDΞR D∆VIS (@_AlexanderDavis) reported@egavrilenko11 @bot I had to update my fine grain token for GitHub and now when it tries to authenticate the plugin, I'm getting the error: GitHub didn't provide a sign-in link My bot said: Known host bug, not you. The GitHub Authenticate button tries OAuth GitHub does not support. Checking whether a PAT on the plugin page is the working path. That's a Grok Bot host bug, still open: cursor/plugins#251. GitHub's connector is PAT-only. The Authenticate button tries OAuth GitHub does not support, so you get "didn't provide a sign-in link." Don't keep hitting it. But it worked before I updated my fine grain token...
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Spectra☢️ (@Spectra010s) reported@izzyCodes_ and you too Chief Check GitHub issues
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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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Apoorv (@apoorvdarshan) reported@Dimillian these issues have been multiple times reported by users on github i hope open ai fix those, as well as please consider using native than electron
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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 — 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" — 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 — 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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Gordo Polymath (@gordo_polymath) reported@github Please fix gh stack.
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Marcelo Retana (@mretsal) reportedEvery time @github goes down they should have a plan to please their users. Give me free credits for actions for example 👍🏼
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tobarra (@txbrraa) reportedGitHub just fixed the biggest problem with vibe coding. They just released Spec Kit and it already has +126K stars in a short time. The idea? Instead of throwing out vague prompts and praying the agent doesn't break your project… Spec Kit forces the AI to create a structured specification BEFORE touching any code. The AI first understands what you want to build, asks about anything missing, organizes the project, and only then starts coding. That means less time fixing absurd bugs, less inconsistent code, and much more predictable results when working with agents. The flow is simple: /constitution → rules and standards /specify → what you want to build /clarify → open questions before starting /plan → architecture and stack /tasks → ordered tasks /implement → execution Compatible with Claude Code, Cursor, Copilot, Codex, Gemini CLI, and +25 agents. 95K stars. 8K forks. Open source. Published by GitHub.
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Rituraj (@RituWithAI) reported🚨 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 — 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 👇
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Yash (@dewyashtwts) reportedrecently integrated Resend into @supercodeai review so founders get PR alerts with real risk context I'm amazed what we found out when we put @coderabbitai / @greptile through the same PR: 1) coderabbit / greptile: - stamped it “low risk, mergeable” (4/5) clean - forgot context from the last PR - no tests suggested, no safety checks - zero memory of previous regressions 2) supercode review on the exact same PR - flagged a real vulnerability in the diff - noticed i’d pushed credentials into `.env.example` - pulled in history from past PRs + explaining how this change could affect and break them - downgraded it to "medium risk, fix before merge" state - attached concrete fixes + patches scoped by severity this is the difference between 'LLM summarizer for github' and an actual swe agent that cares about your production
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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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mrgadget (@mrgadgetstudio) reported@EzekielCrrypt I still deploy code to github, what's problem?
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Conor Bronsdon (@ConorBronsdon) reported.@SlackHQ is building for multiplayer AI: tag a coding agent into a Slack conversation and it spins up a coding channel: everyone in that convo gets a live dev environment, diffs post as artifacts, and the channel winds down when the task is done. With the launch of Slack Code, Claudeforce, their MCP and more, Slack is putting Agents in the channels where teams already work, not simply in a private chat with one person. Their position is that the whole team should be able to watch, steer, and review what the agent does. Slack Chief Product Officer Jaime DeLanghe joined me on @chain_ofthought to explain how Slack is building a team AI environment, what happens mechanically when a code channel is created, why Anthropic pushes so much of its code through Slack, how the channel permission model became the agent context model, and what has to change in engineering culture when the whole team is steering one agent. I think Slack is the platform best positioned to become the context harness where enterprise agents run: agents that see what the team discusses, permissions that already exist, and a cultural opportunity hiding inside every multiplayer coding session. Chapters: (0:00) Slack as an IDE and a GitHub for your team (0:29) Who is Jaime DeLanghe (1:21) The reaction to the Slack Code launch (5:30) Why coding agents belong in a context-rich environment (6:08) Engineers now manage agents, not copy-paste code (7:24) The permission model: agents get the channel's context (11:44) What happens when a code channel is created (15:00) Why Anthropic pushes so much code through Slack (19:14) Steering one agent with many people: culture decides (24:54) Slackbot, skills, and MCPs: agents go where the work is (30:53) The solo terminal vs. agents in social spaces (33:53) Org charts and ownership when agents join the team (39:33) Learning loops and shared agent memory (42:39) Citations, recency, and accidental knowledge management (46:50) Context bloat and multi-pass search for agents (50:01) How Jaime uses Slackbot as CPO (52:38) Slack Code is V1 of multiplayer AI
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Ifebuche Omeke (@omeke_NC) reportedProviding compute, storage, networking and managed services in the cloud. Terraform. Bicep. CloudFormation. Pulumi. They all solve the same problem: Defining and provisioning infrastructure as code. GitHub Actions. Azure DevOps. GitLab CI. Jenkins.
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Jason Waters (@jasonwaters87) reportedAnthropic just open sourced the code Shopify runs their shopping agent on. Free on GitHub. And I’m 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 “did you guys call them?” 3 or 4 schedulers looking after 75 doctors. One automated call before the appointment and that’s it. His own dermatologist sends him three reminders. He called that “an easy fix.” That’s a merchant agent. Reminds the patient, rebooks the no show, tells him Thursday isn’t 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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Ghaith Jelassi (@GhaithJ) reported@github I need help with support ticket #4718335 Issue not been resolved for 2+ months. Any help is appreciated. Thanks.
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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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Max Rovensky (@MaxRovensky) reported@thekitze you'd be even further down if you fixed the GitHub bug I just reported
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阮添福-ThiênPhúc (@vietroadie) reportedFeature request for @TradingView @TrendSpider @Schwab (ThinkOrSwim) engineering teams: Please add GitHub-native CI/CD for custom indicators. Connect a repo → validate on push → deploy approved scripts to my workspace → full version history + rollback. 1/ The Problem I maintain the same level set across ThinkScript, Pine, and JS. One level change = 3 manual copy/pastes into 3 browser editors.Result: drift between platforms, stale timestamps, and levels that silently disagree mid-session. No audit trail of what changed or when. 2/ Core ask — repo connection • OAuth GitHub App install, scoped to selected repos • Map a file path → a specific study slot (e.g. ES Levels/ES_LEVELS.pine → "ES Levels") • Branch selection (deploy from main, preview from a branch) • Config in-repo, e.g. .tradingview.yml / .trendspider.yml 3/ Core ask — validation • On push/PR: compile + lint the script server-side • Return errors as GitHub check runs with file + line numbers • Block merge on compile failure • Optional: run a backtest or smoke-render and post results as a PR comment 4/ Core ask — deploy • Auto-deploy on merge, or manual "promote" button • Atomic: study updates or fails cleanly, never half-applied • Deploy to draft/private first, publish separately • Preserve user-set inputs across deploys where param names are unchanged 5/ Core ask — versioning & safety • Every deploy tagged with commit SHA, author, timestamp • Version list in the UI with diff view • One-click rollback to any prior commit • Dry-run mode • Deploy log / webhook on success + failure 6/ Minimum viable alternative If full CI/CD is too big, just ship a documented REST API: GET/PUT /studies/{id}/sourcewith token auth + rate limits. We'll build the GitHub Action ourselves. That single endpoint unblocks the entire workflow. 7/ Why it matters Scripts are code. Code belongs in version control with review, CI, and rollback. This is table stakes in every other dev ecosystem — and it directly reduces the risk of a bad indicator edit going live during market hours. Who else needs this? 🙋
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Vigneshwer Ramamoorthi (@vigneshwer_ram) reportedI keep thinking the “Android moment for robots” won’t come from a humanoid with the best walking demo. it’ll come when some cheap-enough piece of hardware gets into thousands of developers’ 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 ¥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. I’m almost equally interested in what happens when we get enough robots onto developers’ desks
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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: • Contractual Relationship: The contractor entered into an Independent Contractor Agreement, originally signed and renewed in October of the preceding year. • 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. • 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). • Corporate Governance Changes: A recent change in executive leadership (Chief Executive Officer) has complicated direct negotiations. • 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 • 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). • 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. • 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: ┌────────────────────────────────────────┐ │ Independent Contractor Contract │ └───────────────────┬────────────────────┘ │ Does the contract contain a Choice of Law and Dispute Resolution Clause? │ ┌──────────────────┴──────────────────┐ ▼ ▼ [ YES ] [ NO ] │ │ ┌───────────────┴───────────────┐ ┌──────────┴──────────┐ ▼ ▼ ▼ ▼ 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. • 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). • 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. § 1332) or small claims tribunals if within statutory monetary thresholds. • 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. • 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., California’s "ABC Test" under AB 5 / Labor Code § 2775). • 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. │ ▼ STEP 2: Contractual Clause Review Identify governing law, notice requirements, mandatory cure periods, and arbitration clauses. │ ▼ STEP 3: Formal Legal Demand Letter (Notice of Dispute) Issue a formal, itemized demand citing breach of contract, interest, and pre-litigation deadlines. │ ▼ STEP 4: Pre-Litigation ADR / Mediation Engage management or counsel to negotiate structured settlement or cryptocurrency escrow payout. │ ▼ 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: • The contractual basis of the claim. • Total outstanding principal plus statutory pre-judgment interest. • A strict cure period (typically 14 to 30 calendar days). • 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 • United States Federal Law: 28 U.S.C. § 1332 (Diversity of Citizenship; Jurisdiction). • United States Federal Law: Fair Labor Standards Act (FLSA), 29 U.S.C. § 201 et seq. (Worker status and wage protections). • Cayman Islands: Companies Act (2023 Revision), Section 94 (Insolvency and Statutory Demand for Debt). Case Law and Legal Principles • Corporate Liability & Successor Continuity: Salomon v A Salomon & Co Ltd [1896] UKHL 1 — Fundamental doctrine of independent corporate personality surviving executive management transitions. • Contract Damages: Hadley v Baxendale (1854) 9 Exch 341 / Restatement (Second) of Contracts § 347 — Measure of expectation damages for material breach of commercial agreements. • Enforceability of Forum Selection Clauses: M/S Bremen v. Zapata Off-Shore Co., 407 U.S. 1 (1972) — 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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radhika (@RaadhikaThacker) reportedYAML’s more like a rule book/recipe that builds the form for you. Then I figured YAML was a forms thing. Nope. It’s just a way of writing information down in a structured way. GitHub uses it for a form. Kubernetes uses the same thing to describe a server.
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Benjamin Crozat (@benjamincrozat) reportedFrom now on, I will assume that GitHub is always down and I'd like to be notified when it's briefly not.