Data◆Video · 3:57 · 2m
Enterprise ROI from AI implementation has jumped from roughly 5% a year ago to around 30% today, depending on the segment.
Thierry Pienaar · The TWIML AI Podcast
ContextArticle
Before coding agents, reverse-engineering home devices was technically possible but rarely worth it, because the effort had to be weighed against the risk that undocumented, unstable APIs could break or change, forcing frustrating future maintenance.
The author explains that historically the barrier to reverse-engineering devices wasn't feasibility but ROI: the risk of unstable, undocumented APIs made the future maintenance burden unappealing. ✦ AI generated
Simon Willison · Simon Willison's Weblog · 2026-07-20 · original ↗
Prior to agents, it was entirely possible to reverse-engineer home devices. The problem was the ROI - was it really worth all of that effort? More importantly, any experienced programmer knows that undocumented, unstable APIs like that may well change or break in the future. Is that initial work worth the effort if you're committing yourself to a frustrating cycle of maintenance in the future?
Read full article ↗excerpt · fair-use quotation
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