My first time experience with cad as a code was through browser implementation https://reopenscad.com. My agent used it through mcp and designed pretty complex model with surprisingly concise code
a few days ago I started an agent on gpt-5.6-terra to work on a project, and one of the website pages had a sentence to create GH issues. Agent read it and that was enough to derail and go creating issues with my context
Smarter model can figure out more sophisticated attack when following an injection . I believe in non-determinitic defence: each action or input to agent can escalate context sensivity. More sensitive context -> less risk your agent can take.
Author here. I recently gave a talk on prompt injection and decided to gather the most known ways in this article. Test string is “I am a sandwich” so it’s obvious when it works.
Archestra is an open-source AI gateway and MCP orchestrator. It runs MCP servers in sandboxed environments, applies deterministic context-aware policy at the tool-call level, and handles the auth, audit, cost tracking, and observability, so an in-house AI team can let business users connect to real internal data. Now we are raising next round to expand.
We’re strong believers that there should be an independent, battle-tested, cloud-native, open-source platform that's free from big players and takes care of all that boring stuff. Something like GitLab, Grafana, or Clickhouse.
Repo is here: https://github.com/archestra-ai/archestra Matvey (CEO), Joey (Co-founder), and I are all in the thread. Ask us anything, including the unflattering stuff.
GH sends the email notification to all subscribers at the moment of posting a comment. There is no cooldown or a way to unsend the notification using hooks
As those commits were made from our system they don't create any noise for us, as PR/issues/email notification do. We only include real people who could solve the captcha and their input is mostly valuable
