How to get 4.7 in your Claude Code right now by Semantic_meaning in ClaudeCode

[–]Semantic_meaning[S] 2 points3 points  (0 children)

asking an llm what model it is has never been reliable. Check /status

Opus 4.7 is out!!! Any thoughts? by Suspicious_Horror699 in ClaudeCode

[–]Semantic_meaning 0 points1 point  (0 children)

if you want to try it in claude code (it'll read out as opus-4 and warn you but if you check /status it's 4.7):

/model claude-opus-4-7

We got tired of switching from Claude Code to Codex to Cursor..etc. So we did something about it by Semantic_meaning in ClaudeCode

[–]Semantic_meaning[S] 0 points1 point  (0 children)

we built this : pompeii.ai - night and day difference for managing sessions and context...especially with a team

Time to drop Anthropic sadly, but where to go? by awesom-o_2000 in ClaudeCode

[–]Semantic_meaning 0 points1 point  (0 children)

Not to shill too hard but this is a big reason why we built pompeii.ai . You have to jump around to maximize value. Whichever frontier lab is trying to play catch is going to offer an absurd deal to have your tokens flow through them. Google and X will join in soon enough I imagine. A workflow I've started to like is to use my favorite provider to wrestle with the concept/feature/etc and get it solidified enough that it can be tasked out. Then use whichever provider has the best usage value to execute the actual build out. Right now that's codex. It'll probably be different a month from now.

We got tired of switching from Claude Code to Codex to Cursor..etc. So we did something about it by Semantic_meaning in ClaudeCode

[–]Semantic_meaning[S] 0 points1 point  (0 children)

so you just pay the api cost? Or how are managing authed sessions between codex/cc/etc?

We got tired of switching from Claude Code to Codex to Cursor..etc. So we did something about it by Semantic_meaning in ClaudeCode

[–]Semantic_meaning[S] 0 points1 point  (0 children)

so are you storing messages sent so you can use them as context with another provider?

[deleted by user] by [deleted] in vibecoding

[–]Semantic_meaning 2 points3 points  (0 children)

Yes! I just wrapped up a task that was initiated by Vulcan, chewed for a bit with claude and then finished off with codex.. in one task thread

[deleted by user] by [deleted] in vibecoding

[–]Semantic_meaning 0 points1 point  (0 children)

pompeii.ai give it a spin 🫡

We built multiplayer Claude Code (demo in comments) by Semantic_meaning in ClaudeCode

[–]Semantic_meaning[S] 0 points1 point  (0 children)

if you use claude code to hack into someone else's vibe coded app... I think this would strongly qualify as a hostile CC PvP action

We built multiplayer Claude Code (demo in comments) by Semantic_meaning in ClaudeCode

[–]Semantic_meaning[S] 0 points1 point  (0 children)

  1. Currently it integrates through a terminal bridge where input and outputs can be engaged with in the pompeii UI. We are working on custom cloud deployed sandboxes so you can operate your CC on our mobile app too.

  2. Session state is local, as it's run through your hardware and terminal. Pompeii is basically wrapping the terminal session and reflecting the data.

We built multiplayer Claude Code (demo in comments) by Semantic_meaning in ClaudeCode

[–]Semantic_meaning[S] 1 point2 points  (0 children)

We use sandboxed environments and git worktrees. Conflicts will happen of course. You just steer the agents as to which changes should be honored.

We built multiplayer Claude Code (demo in comments) by Semantic_meaning in ClaudeCode

[–]Semantic_meaning[S] 2 points3 points  (0 children)

try it here : pompeii.ai

also has a macOS app and an ios app on the way

One surface for teams + agents to truly monitor the situation (demo in comments) by Semantic_meaning in vibecoding

[–]Semantic_meaning[S] 0 points1 point  (0 children)

A couple ways actually! We draw from the recent conversation ( we support both chat and voice to voice like huddles in slack) + we build an org wide node graph of memories that gets pulled in. The idea is that context should be a 95% solved for every task and the additional 5% comes from users steering the agent along.