# A-Team Published articles for A-Team. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Your Agent Runs in a Docker Sandbox. Now It Can Join a Team. DevFeed: [Your Agent Runs in a Docker Sandbox. Now It Can Join a Team.]() Original publisher: [Read original article]() Author: Jennifer Kohl Published: 2026-10-21T16:10:49Z Content type: tutorial Language: en Sources: [Docker]() Topics: [Docker Sandboxes](), [Multi Agent Systems]() Tags: [a-team](), [agent](), [agents](), [ai](), [ai-agents](), [anthropic](), [api](), [api-credits](), [band](), [connect](), [docker](), [docker-sandbox](), [docker-sandboxes](), [environments](), [how-to](), [join](), [learn-how-to](), [manage](), [products](), [sandbox](), [sandbox-kit](), [team]() ### AI overview The BAND Python kit connects an agent running inside a local Docker Sandbox to a shared BAND room, where it can collaborate with people and agents running locally, in the cloud, or on other infrastructure. The agent opens an outbound WebSocket and sends replies through BAND's API; it works in an isolated microVM with access to its mounted workspace. The Repo Doctor example uses a Python entrypoint, Claude, and tools to inspect files, edit code, and run tests. Setup requires Docker Sandboxes, a BAND account and agent API key, plus an Anthropic API key for this example; the kit itself does not require a particular model provider. Docker keeps the real keys on the host and injects them into outbound requests as placeholders. After storing credentials, create and run the sandbox, allow network access to api.anthropic.com for Claude, and add the connected agent to a room. The excerpt also describes multi-agent rooms, where only the local agent that needs repository access runs in the sandbox. ### Source excerpt Run AI agents in Docker Sandboxes with BAND AI. Learn how to connect isolated agents, collaborate across environments, and manage access securely. ## Goodbye Outreachy! DevFeed: [Goodbye Outreachy!]() Original publisher: [Read original article]() Author: Explique-me Published: 2015-09-01T00:00:00Z Content type: article Language: en Sources: [Mozilla Automation]() Topics: [Open Source](), [Self-organizing Team]() Tags: [a-team](), [open-source](), [outreachy]() ### AI overview The author reflects on completing an Outreachy internship, describing open-source contributions, supportive mentoring, and the projects and feedback that helped them grow. ### Source excerpt Last Tuesday was the last day of my Outreachy internship :( Beginning It all started last December. I was at the Recurse Center when Sonali told me about the project. At first I was sure I was not good enough to contribute to a real-life Open Source project, I shouldn't even bother trying. But I was at the RC, which means I had a great support network and I was able to talk with Sumana about my doubts. I don't remember the exact words, but it was something like: What if it takes more time to mentor me to fix a bug then to just fix the bug directly? Mentors know what they are signing up for and they think it is worth it. They think of it as part of their long-term investment in the project. I decided I should at least try to contribute once, and after weeks of window shopping for bugs in Bugs Ahoy I finally got started. A-team I felt very welcomed on the a-team. No one asked for my credentials, no one assumed I was not able to code (even when I made mistakes or asked silly questions!). Everyone was very nice with me and they helped me whenever I needed it: I was mentored by jmaher, ahal and armenzg on different bugs. mcote, camd, emorley, jfrench, Kwierso and mdoglio helped me with PRs. RyanVM and jgraham gave very useful feedback about mozci. ekyle helped me get started with ActiveData. vaibhav1994 and chmanchester helped with mozci. And there are a lot of people with which I didn't work directly but that were very nice to me whenever I interacted with them. For the past months, the #ateam IRC channel was my office and reading the conversations made me happy, whether they were about techinical issues, the weather, cricket or anything in between. Internship I knew the team was very nice, but I wasn't expecting my mentor to be so awesome. armenzg helped me so much: he gave me fun projects that helped me grow, he arranged for me to go to Toronto, he guided me whenever I felt lost, he trusted I would be able to finish projects completely outside my comfort zone, he arra ## A-Team Update, July 29, 2015 DevFeed: [A-Team Update, July 29, 2015]() Original publisher: [Read original article]() Author: jagriffin Published: 2015-07-30T00:31:32Z Content type: news Language: en Sources: [Mozilla Automation]() Topics: [Grafana](), [Test automation](), [Front end](), [CI/CD]() Tags: [2015](), [a-team](), [browser](), [cross-compilation](), [data-ingestion](), [deployment](), [detection](), [developer](), [developer-workflow](), [devtools](), [firefox](), [highlights](), [mozilla]() ### AI overview Mozilla engineering teams report July 2015 updates across Treeherder, Perfherder, TaskCluster, Marionette, and developer workflow. Work includes test and performance tooling, build automation, deployment visibility, and improvements to logs and debugging. ### Source excerpt Highlights Treeherder: We've added to mozlog the ability to create error summaries which will be used as the basis for automatic starring. The Treeherder team is working on implementing database changes which will make it easier to add support for that. On the front end, there's now a "What's Deployed" link in the footer of [...] ## Automation and Tools Team Update, July 16 2015 DevFeed: [Automation and Tools Team Update, July 16 2015]() Original publisher: [Read original article]() Author: jagriffin Published: 2015-07-16T17:11:50Z Content type: news Language: en Sources: [Mozilla Automation]() Topics: [Test automation](), [CI/CD](), [Production Engineering](), [Headless Browser](), [Jenkins](), [Tree-sitter]() Tags: [a-team](), [automation](), [continuous-integration](), [mozilla](), [release-engineering](), [team](), [tools]() ### AI overview Mozilla's Automation and Tools Team reports progress on test automation, developer workflows, performance tooling, and build infrastructure. Work includes changes to Treeherder and Perfherder, mobile and desktop testing, TaskCluster migration, and CI improvements. ### Source excerpt The Automation and Tools Team (the A-Team, for short) is a large team that oversees a diverse set of services, tools and test harnesses used by nearly everyone at Mozilla. We're borrowing a page from Release Engineering and publishing a series of updates to inform people about what we're up to, in the hopes of fostering better [...]