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GitHub Issues Reports

Latest outage, problems and issue reports in social media:

• 
  TokenFires (@TokenFires) reported 3 seconds ago

  Tired of Claude not working well? Me too. So I figured out how Anthropic has trained the model to expect to work. You work with Claude now, Claude does not work with you. Here are the keys to success with Opus and Sonnet: 1. Provide a strict set of agent instructions: - start with Karpathy’s rules - add run up and summary removals - add refusal for questions it can find the answers to - tune for preferences - enforce verification not assumptions - enforce responsibility (model performance will be discussed in retrospectives) - keep it SIMPLE though (aka: limit token burn and confusion for the LLM) - be specific about *** ops 2. Follow this workflow: [opus] research (docs/web = define source of truth) -> plan (intent and what success looks like) -> design -> task decomposition (target sonnet)-> create failing tests -> [sonnet] construction -> bug fix until tests green -> [opus] review against plan/design + test validation -> cover deploy/rollback. Then it works fine. Beats the 30 day rolling memory window Claude ships with. And/or, add a real memory system to Claude. Raw sessions + prompting went away with 4.5. Anthropic did not express this as strongly as they *could* have. But the 2026 versions expect a certain workflow now. If you work in it, it’s successful. If you skip anything or try to vibe your way to the end, it’s less likely to result in quality code. And your session will churn with flip flop changes and miscellaneous bug fixes. Claude *NEEDS* a library of good representative information to draw from through the whole process. Don’t skip doc building and providing web links with explanations (look here for this, read this for that). Try to shortcut this and the Claude models don’t “work”. Even better, build agents (or find built definitions on GitHub) that do these and create a skill walking through the whole process. I promise the result is better after the pre-work is done. I’m paid to do this and I ship AI code without the hype and vibes in my day job. Every week. Every day. Do people on X do this though? Is this a largely unknown thing outside of the software engineering field? Oh. And add hooks for delete and drop commands. And never connect AI to production. I feel like I shouldn’t have to say these things. But I know we’re only human.

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  nasuy (@n_asuy) reported 23 seconds ago

  i think @xai should be ADE. now they have a chat, cursor, enough coding models and harnesses, strong signal like bookmarks or down votes, video creatives, profile / chat / relationship contexts. if so, we don't have to depend on discord or any chat apps. easy to invite x people to cowork. there is no need to connect Linear, Slack, or GitHub to another platform and ask that platform to solve their problems. true AI chat is a SNS, not a single UI. there is a UX that only xAI can realistically build in the world.

• 
  shmidt (@shmidtqq) reported 8 minutes ago

  Creator of Claude Code: "Right now you still need to know how to code. In a year or two, it won't matter. I haven't edited a single line by hand since November." In a 90-minute podcast, Boris Cherny breaks down the exact setup behind the tool now writing 4% of every public commit on GitHub. More value than a $500 vibe-coding course. Save this. In a year we'll know if he was right.

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  Johann Siemens | Freedomeers (@johann_sie1985) reported 8 minutes ago

  @nneyoboy @N_and_ni Certs are an HR-Filter, not more, not less. The actual people who are hireing you from the Tech department don't really care about Certs, because you could've made it 6 months ago and then forgotten all the stuff you learned, because you never applied the knowledge afterwards, which is the main issue with learning stuff you don't use every day afterwards. I would argue that if you are appying for bigger companies, Certs are probably a solid helper to get through HR, but if you focus on smaller and mid-size companies who don't have an HR department then it's a waste of money, although some consulting companies want you to have them, because then they can easily "sell" your skills to customers. If i were you i would start screening the Cloud Engineering market in the area you want to apply for jobs and figure out what is beeing looked for, how long the jobs are "open", from which you can assume how strong the competition is and then you have a good overview on where your gaps are. I think building a well documented home-lab with GitHub and such will do more for you then Certs.

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  Plip Funee (@PlipFunee) reported 12 minutes ago

  Uuuugh I really hate the push to add more AI into stuff. It's so exhausting to have this nonsense shoved down our throats. While I'm interested to learn more about UE6, I'll probably wait to see if anyone on github comes out with a version where I don't need to have the AI stuff

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  Peter (@kasselvania) reported 16 minutes ago

  @miu21590 @pauljunsukHan The chatGPT GitHub plugin is not great. Hella slow, misses movement in branches unless directly told. It's a nice idea to have a singular toolkit to keep things aligned and directionally synced. Don't know the quality of this tool, but just broadly speaking.

• 
  Layton Gott (@Layton_Gott) reported 17 minutes ago

  You installed an MCP server off a link last month... It can read every file, secret, and credential on your machine. Do you actually know what it's doing in there? Most devs don't, and attackers are counting on exactly that. A real campaign this year cloned a legit MCP server, faked a whole GitHub community around it to look trustworthy, and quietly stole SSH keys, cloud tokens, and crypto wallets from everyone who installed the fake. 12,000+ API keys have been found leaked through bad MCP setups. 42,000+ agent instances were caught exposed online leaking credentials. The scary part is you can never know it was a attack. The tool works fine. It just also empties your secrets in the background. Perplexity open sourced a FREE tool for this called Bumblebee. It one pass scans your MCP servers, extensions, and dependencies for known malicious packages. (Read only) Scan what you've plugged in. You can't audit it by eye. Link in the 1st comment 👇

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  ✚ Oz ✚ (@oz_a13banger) reported 27 minutes ago

  @jediahkatz Im super interested in this. Im especially hopeful they have something better than GitHub Issues for tracking things. We use Issues heavily but have always been unhappy with it.

• 
  Nigel (@nigel1) reported 28 minutes ago

  @cursor_ai Needed this bc GitHub is broken

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  李沅 Allen Lee (@allenwlee) reported 33 minutes ago

  @izzycodev Honestly no books. Too much latent time to publish. Even YT videos are too slow. Read X feed, github readmes, anything the top researchers publish, and arxiv articles for technical

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  Retail Investors Capital Management (@isdeezthebottom) reported 34 minutes ago

  @zerohedge $ORCL refused to make the effort to comply with $MSFT’s request for a specific standard. Coming from $MSFT this is rich: from Plasma and regression bugs which where supposed to be fixed in 2024, to infecting everyone with Mini Shai Hulud and Hades trough VS Code and GitHub pipelines, to their private GitHub repositories being leaked and BitLocker being extremely easy unlock. Not to mention the need to change MFA mechanism because people would be locked out of their accounts and scammed to change Azure passwords by attackers 🤭and their security policy is: “responsible disclosure” - IE. Don’t say anything about vulnerabilities that might be exploited by attackers, even if there are ways to mitigate until they figure out how to fix them (in a few months or so, if not years). $MSFT can’t talk about “security” until they change their ways of thinking 🤤

• 
  蜃気楼 (@fuxps32) reported 35 minutes ago

  One engineer at Anthropic stopped working his own bug queue. It clears itself now. He launched voice mode across the company's products, set up a routine, and walked away. It listens for every ticket, every GitHub issue, every bug report that mentions voice mode. When one lands, it writes the fix and opens the pull request on its own. Boris Cherny, the man who built Claude Code, says he has never once talked to that engineer about how it works. It just runs. The trick that lets a loop run that long is one rule. When Claude makes a mistake, the engineer does not correct it in the chat. He writes the correction into a CLAUDE.md or turns it into a skill. Patch it in the chat and it breaks again tomorrow. Write it into a file and it never repeats. Do that enough and the loop runs forever. Cherny lives the same way. Whenever he needs code, Claude writes it. Whenever he needs a review, Claude runs it. Whenever he needs a security check, Claude does it. He talks to a loop, and the loop prompts Claude for him. The engineer is still on the team. His feature has not needed him in months.

• 
  Xovion Labs (@xovionai) reported 38 minutes ago

  Microsoft just hired AWS to run GitHub. AI demand broke Azure's forecast. From the leaked planning docs: • 2025 Copilot commits: 1B. 2026 projection: 14B • GitHub now does 1.4B commits per month • Copilot error rates peaked at 21% • Planned 10x Azure expansion became 30x in 4 months Owning the data center stops mattering when your own AI floods it. Investors already filed a Copilot disclosure suit.

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  𝖗𝖔𝖒𝖆𝖓 .•° (@LXIXthenumber) reported 38 minutes ago

  All day yesterday wrestling with azure/github CI/CD integration oAuth issues. Today, come in, try once, works.

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  Avi (@AvaneesaBee) reported 40 minutes ago

  @karankendre Good, GitHub is sooo slow these days