Spotify may be synonymous with music streaming, but it’s also got a wildly popular developer-tool side-hustle called “Backstage.”
Backstage is an open source project that helps companies build their own internal developer portals: a catalog of their developer tools along with quick visualizations of the work the tools have done, and other metrics. But like many open-source projects, Backstage is a build-it-yourself option.
Israeli startup Port has been gaining big-name customers like GitHub, British Telecom and LG with a proprietary Backstage competitor: a dev tool portal that’s also now been geared to manage AI agents.
On Thursday, Port, founded in 2022, said it raised a fresh $100 million Series C round led by General Atlantic, with participation from Accel, Bessemer Venture Partners and Team8. The round values Port at $800 million and brings its total funding to date to $158 million. This Series C follows the company’s $35 million Series B led by Accel and Bessemer, announced in May.
Of all the industries that LLM-based tech has infiltrated, coding is where it has the deepest roots. So, not surprisingly, developers are also on the cutting edge of building and adopting agents that can automate entire repeated processes — work far beyond asking AI to write some code.
But the problem here, according to Port co-founder and CEO Zohar Einy, it’s the wild west right now for such devtool agents at companies: finding them, sharing them, ensuring their work follows company standards and so on.
Developers “want to take AI beyond just coding. They want it to resolve incidents, resolve security issues. They want it to take care of the release management,” Einy told TechCrunch.
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But if agents are connected to all kinds of different tools and data sources, if the data is scattered among them, if they have no way to collaborate, and have no corporate standards and guardrails, “it creates chaos,” his product pitch goes.
Port therefore offers more than just a catalog of dev and agent tools (although it does offer that). It supplies a layer of orchestration with features that measure agent performance and add a human-in-the-loop, as desired, to approval processes.
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