🚀 Git workflows evolve. Teams should, too. Early in my career, we followed Gitflow almost by default. It made sense back then — versioned releases, slower deployments, more control. Today, I work on SaaS products, and the reality is very different. After watching a great breakdown on how Git workflows evolved (Gitflow → GitHub Flow → Trunk-Based Development), one thing stood out 👇 There is no “best” Git workflow. Only what fits your product, team, and delivery model right now. 🔧 What we do today (real world, not textbook) We follow a hybrid approach: ✅ Short-lived feature branches ✅ Separate staging & production environments ✅ Automatic deployment pipelines for each environment ✅ Trunk-oriented thinking with practical guardrails For critical changes 🚨: * We sometimes deploy feature-branch–based tags to production * Observe behavior for a few days * Merge to the production branch once confidence is high 🔄 Agile also evolved with it. Alongside this, we shifted our Agile process: ➡️ From rigid 2-week, time-boxed sprints ➡️ To short-lived, feature-based sprints that align better with real delivery 💡 What I’ve learned (the hard way) * Gitflow isn’t “bad” — it’s built for a different era * Trunk-based development is powerful, but only with strong CI/CD & tests * Hybrid models ≠ compromise — often a sign of maturity * Workflows must adapt to team experience, automation, and risk tolerance Industry standards are great starting points. But every team eventually needs to design a workflow that fits their reality. I’m curious to hear from others: * What Git workflow are you using today? * Are you following a standard model, or a hybrid like us? * What trade-offs have you consciously chosen? Would love to learn how different teams are solving this in practice 👇 #Git #GitWorkflow #SoftwareEngineering #DevOps #CI_CD #TeamPractices

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