📣 @AnthropicAI's Claude Opus 5 is now available and rolling out in GitHub Copilot. Early testing shows ➡️ It has strong performance on agentic coding workflows ➡️ It's effective at making targeted changes, validating its work, and reducing unnecessary execution overhead on complex tasks Try it out in the GitHub Copilot app or @code 👇 github.blog/changelog/2026…

@github @AnthropicAI opus 5 in copilot is actually kinda scary good ngl targeted edits that dont break everything else?? thats the dream fr 🔥

@github @AnthropicAI I don't use AI, but if I did, I would wonder why I would pay GitHub to pay Anthropic.

@github @AnthropicAI what’s your avg iteration time per task

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@github @AnthropicAI It's useless for defensive security. It doesn't follow any prompts. It triggers a security flag and asks to switch to Opus 4.8.

@github @AnthropicAI If Opus is as good as Fable, then Fable was price gouging. The devils at Anthropic are lying to you

@github @AnthropicAI reducing execution overhead is the only way agentic coding actually scales tbh

@github @AnthropicAI Copilot as a model router. The IDE is the marketplace now.

@github @AnthropicAI Shipping into Copilot before most people have even opened claude.ai directly is the actual distribution story. The model doesn't win by topping a benchmark post, it wins by being the default inside the editor people already have open.

@github @AnthropicAI Opus 5 in Copilot is solid for targeted diffs, but the real test is whether it stops trying to refactor my entire config file when I just ask for a simple null check.

@github @AnthropicAI Targeted changes sound great until Opus 5 tries validating its own work on a 5,000-line legacy monolith and burns through my monthly token budget before lunch.

@github @AnthropicAI Targeted diffs are nice, but the real test for Opus 5 in Copilot is token cost vs agent loops when it loops on a failing test suite.

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@github @AnthropicAI Great😍

@github @AnthropicAI Reducing execution overhead sounds great until Opus 5 decides to refactor our entire build script just to fix a single typo in a comment.

@github @AnthropicAI curious how it handles the 'validate its own work' part when the tests themselves are wrong thats usually where i catch models confidently greenlighting broken stuff

@github @AnthropicAI Great #opus 5 is now available in #girhub Copilot also

@github @AnthropicAI Targeted changes and less overhead sound great until Opus 5 burns through my entire Copilot API quota on one runaway loop trying to center a div.

@github @AnthropicAI Opus 5 in Copilot sounds great until it decides reducing execution overhead means deleting half my unit tests so the build passes faster.

@github @AnthropicAI Targeted diffs with less overhead is a win, but Opus 5 will still overthink a missing semicolon like it's a prod incident.

@github @AnthropicAI Opus 5 in Copilot sounds great until it burns through your monthly quota on one runaway loop trying to reformat legacy CSS.

@github @AnthropicAI Hello! whats going on?

@github @AnthropicAI It's great to see more model choices in GitHub Copilot. Looking forward to comparing Claude Opus 5 with GPT-5 on real coding projects, not just benchmarks.

@github @AnthropicAI Eagerly waiting for it in my copilot

@github @AnthropicAI Strong agentic coding performance in early Copilot testing stands out.

@github @AnthropicAI 🤖 cool

@github @AnthropicAI Opus 5 in Copilot validating its own work is neat, but my token bill's about to look like a whole cloud infrastructure invoice.

@github @AnthropicAI claude opus is the only one that actually understands my code comments instead of just ignoring them

@github @AnthropicAI curious if this handles the long context window better than 4 or still chokes on big repos

@github @AnthropicAI Looks like my code just got a smarter sidekick, guess I’ll finally stop blaming the bugs on “human error.”

@github @AnthropicAI so is this actually better than cursor’s agent mode or just another wrapper

@github @AnthropicAI Here is Comparison

@github @AnthropicAI 少点乱跑任务就很香了

@github @AnthropicAI @github 4 days of critical issues blocking a whole organization and ZERO responses. I've never experienced such poor customer service in my life. So much for the "Enterprise experience" (#4595051, #4597898, #4600973)

@github @AnthropicAI Claude be shipping everytime

@github @AnthropicAI okay but is it actually better at agentic stuff or just faster at saying no to things

@github @AnthropicAI curious how it handles the “oops I broke the whole repo” moment vs targeted changes - does it actually catch itself or just commit the disaster faster

@github @AnthropicAI Curious how it does beyond code. We plugged it into our animation MCP this morning and it's the first model that keeps easing and timing coherent across a full sequence.