Tag
The tweet discusses why companies like Ramp, Spotify, and Thomson Reuters are building their own AI tools instead of buying them, citing reduced costs and increased profitability due to AI advancements.
Enterprises are increasingly getting AI agents into production, with 47% of AI deals reaching deployment versus 25% for SaaS. The shift is driven by faster ROI proof, product-centric evaluations, and a preference for buying over building due to the ongoing maintenance burden.
This article breaks down the five infrastructure layers required to run production web agents beyond just a browser, covering warm pools, isolation, identity, observability, and model gateways, and discusses when it makes sense to build vs. buy.
Starbucks is developing internal AI-assisted tools to replace Microsoft and IBM systems, aiming to cut its $400 million annual software spend and signaling a shift in the build vs. buy paradigm for large enterprises.
An essay exploring how LLMs have shifted the buy-vs-build calculus for software, arguing that while AI lowers build costs, maintenance and human oversight still make building a non-trivial investment, using the example of replacing Jira with an LLM-built internal tool.
A developer shares how they replaced a $200/month SaaS with a custom client portal built in under a day using AI tools like Claude and Lovable, highlighting the growing trend of building software instead of buying it.