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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.