Admittedly, this is an issue with organization and can be solved with thorough cleanups, but I suspect that may disrupt the usual flow of non-PM people more. I am thinking of using a separate tool like craft.io or productboard.com to highlight strategies, roadmaps, cross-team initiatives, discoveries, etc. With a possible link to JIRA somehow. Has anyone ever tried this? Source: about 2 years ago

Recently my friend at Productboard noticed an interesting bug in one of our services. For some reason our code responsible for calculating how many days our customers' features spend in certain states (Idea, Discovery, Delivery, etc) in some cases would give us wrong results. - Source: dev.to / about 2 years ago

ProductboardProductboard helps us capture user feedback from email, Slack, Zendesk, our public-facing product portal etc. And see what users need the most. We also use it for prioritizing product objectives, release planning, roadmapping…. Source: over 2 years ago

I use ProductBoard. It's fairly expensive but pretty great. I gather requirements into PB and use the inbuilt editor to flesh them out. When a story is ready I push a button and it ends up in Trello (but you can add your own integrations; there's one for github for example). The integrations aren't perfect but I love it. Used it in my last job and brought it in at my current job. https://productboard.com. - Source: Hacker News / about 3 years ago

The next generation of LMs will need a greater degree of isolation. Cloud providers like Amazon already allow arbitrary users access to their systems without knowing whether the user is a hacker. The startup E2B brings the same secure containerization technology Amazon uses to the AI space. Treating these LMs as if they were potentially malicious human-level hackers and placing similar restrictions on them as... - Source: dev.to / about 2 months ago

E2B | https://e2b.dev | San Francisco, CA | Full-time | In-person [E2B](https://e2b.dev) is building a secure open-source runtime that will power next billion of AI apps & agents. We found an early traction with making it easy for developers to add [code interpreting](https://github.com/e2b-dev/code-interpreter). We have paying customers from seed to enterprise companies. We're hiring: - Frontend/Product Engineer... - Source: Hacker News / 2 months ago

Hi, I'm the CEO of the company that built this SDK. We're a company called E2B [0]. We're building and open-source [1] secure environments for running untrusted AI-generated code and AI agents. We call these environments sandboxes and they are built on top of micro VM called Firecracker [2]. You can think of us as giving small cloud computers to LLMs. We recently created a dedicated SDK for building custom code... - Source: Hacker News / 3 months ago

These use cases were often centered around AI data analysis so code interpreter-like behavior made sense The way our code interpret SDK works is by spawning an E2B sandbox with Jupyter Server. We then communicate with this Jupyter server through Jupyter Kernel messaging protocol [4] We don't do any wrapping around LLM, any prompting, or any agent-like framework. We leave all of that on users. We're really just a... - Source: Hacker News / 3 months ago

E2B is a platform used to augment building AI autonomous agents. It allows you to provide your AI agent access to tools in a safe, sandboxed environment. With its sandbox feature, you can set up an environment with whatever tools and packages your AI agent requires for the tasks you want it to accomplish. - Source: dev.to / 6 months ago