AI agents. Chatbot session of 8 hours is a lot. 16 vCPU might be useful when developing heavy application and agent need run application tests. You can think what infrastructure https://claude.ai/code needs.
I'm a Claude Code Web fan and a rather heavy user. So I was interested in your product. However, I couldn't find an answer on the website. What parts did you find so good that you ported them?
If the problem is excessive deployments via GitHub Actions, why not use concurrency control on GitHub Actions ( https://docs.github.com/en/actions/how-tos/write-workflows/c... ) instead of relying on agent randomness and the hope that it won't make the same mistake again? Am I missing something?
That feature was silent launched about week ago for me.
I use it to:
- perform review of latest changes of code to update my documentation (security policies, user documentation etc.)
- perform review to latest changes of code, triage them, deduplicate and improve code - I review them, close them with comments for over-engoneering / add review for auto-fix
- perform review of open GitHub issue with label, select the one with highest impact, comment with rationale, implement it and make pull request - I wake up and I have a few pull request to fix issues that I can approve /finish in existing Claude Code thread
I want also use it to:
- review recent Sentry issues, make GitHub issues for the one with highest priority, make pull request with proposed fix - I can just wake up and see that some crash is ready to be resolved
Limit of 3 scheduled jobs is pretty impactful, but playing with it give me a nice idea on how I can reduce my manual work.
They rely on residential proxies powered by botnets — often built by compromising IoT devices (see: https://krebsonsecurity.com/2025/10/aisuru-botnet-shifts-fro... ). In other words, many AI startups — along with the corporations and VC funds backing them — are indirectly financing criminal botnets.
tl;dr: Pressure from browsers, enterprise, and the overall ecosystem to use HTTPS (e.g., unavailability of advanced web features without HTTPS) is pushing for the use of HTTPS without exception, even for .onion sites with no significant technical advantage.
MCP also started as JSON-RPC over stdio. With solutions like GitHub Codespaces, devcontainers, or "background agents", I wonder if we'll see the development of JSON over SSE.
Currently, my environment uses Claude Code on bare metal, and my application runs in a container, and the agent can do "docker compose exec backend" without any restrictions (YOLO).
My biggest obstacles to adopting workflows with git worktree are the need to share the database engine (local resource constrains) and the initial migration time. Offloading to cloud might be interesting for that.
I don't use borg, but I used duplicity, which offers something like that. The verify operation simulates a backup restore to compare whether the restored file's checksum matches that expected from the metadata and optionally against the local file. I use this routinely, interesting to see that a local S3 provider can sometimes mess up your files silently.
Large corporations have the technical skills in place, but organizationally they can lock your account away leaving you with no access and no real avenue to evict your data. There are many posts on HN and on the Internet where corporate support had no procedure to give back access to data when they blocked the account. Account bans are sometimes for unclear or out of control reasons (e.g. someone stole your credit card and then used that card with a another account, so the corporate banned all accounts indefinitely). In the case of a smaller organization, you have a better chance that if they have to say goodbye to you, they will do it without unnecessary harm to you.