The Architecture of a Modern Startup 💾
The Tech side of startups can sometimes be very fluid and contain a lot of unknowns. What tech stack to use? Which components might be overkill for now but worth keeping an eye on in the future? How to balance the pace of business features development while keeping the quality bar high enough to have a maintainable codebase?
Businesses want to conquer the market and engineers — try cool stuff and stretch their brains. Meanwhile, the industry produces new languages, frameworks, and libraries in such quantities that you will not be able to check them all. And, usually, if you scratch the shiny surface of the Next Big Thing, you will find a good old concept. Good, if you are lucky.
Time To Read: 16 Minutes
Published: November 2022
Link: The Architecture of a Modern Startup 💾
Atlassian today announced the launch of Atlassian Intelligence, the company’s AI-driven “virtual teammate” that leverages the company’s own models in conjunction with OpenAI’s large language models to create custom teamwork graphs and enable features like AI-generated summaries in Confluence and test plans in Jira Software, or rewriting responses to customers in Jira Service Management.
These new features will only come to Atlassian’s cloud-based offerings. The company doesn’t currently have plans to bring it to its data center editions.
Every company, it seems, is trying to add ChatGPT-enabled features to its service these days, but few companies have the kind of reach and mindshare as Atlassian, especially with developers. Over the course of the last few years, the company also branched out well beyond its original focus on developers to include IT departments and other teams that interface with developers. This now gives it a rather unique view into how teams collaborate, something it is now also leveraging for this new product.
Read More: Atlassian brings an AI assistant to Jira and Confluence 🤡
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