Breaking waterfalls into short Sprints forces automation and leads to continuous delivery
JoeJustice · x · 2026-08-27
Discussing whether Sprints create 'mini-waterfalls', the view argues that splitting long flows into max 1-month Sprints forces the team to build automated testing and release tools, exposing bottlenecks. The ultimate goal is continuous delivery, where the 'Sprint' timebox becomes unnecessary, as seen with Tesla's daily hardware/software updates.
More from Companies & People
- Study: Human Factors Are the Core Challenge in Human-AI Collaboration — EchoShao8899 · 2026-08-27
- Nvidia Agrees to Buy Hugging Face for $12.9 Billion in AI Ecosystem Land Grab — 新智元 · 2026-08-27
- Proposed Zero-Retention AI API: Open-Source Models with Privacy Guarantees — mhrnik · 2026-08-27
- Rumor: OpenAI Cuts Inference Costs by 50%+ with New Optimizations — ericmitchellai · 2026-08-27
- Chinese Models Go Anonymous: OxAlpha Hype and Identity Mystery — 创业邦 · 2026-08-27
- Shein Launches Hong Kong IPO Behind $41.8B Revenue and Its Flexible Supply Chain — 创业邦 · 2026-08-27