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So, what’s your funniest (or most painful) story of early over-architecture & duct tape fixes? Drop it here! 👇 #DevCommunity #TechStories

Join millions who have switched to Grok.

When to ditch the duct tape? When your hack slows feature delivery or breaks things. Until then, ship fast & learn fast. That’s the real “best practice.” 🛠️ #Agile

Don’t reinvent the wheel! Use Auth0, Stripe, Algolia & others to solve plumbing so your team focuses on the core biz. #SaaS #StartupTips

Beware “one database per customer.” Tempting but scales terribly. Multi-tenancy = better scaling, self-service, and less ops hell. Scale smart! 🚀 #SaaS #Scalability

Need queues? Try a “Poor Man’s Queue” — a simple DB table + cron job. Need event sourcing? Keep a JSON log first. Don’t build fancy until you must. #PoorMansX

Instead, try Minimally Viable Architecture (MVA): build the simplest thing that works. Skateboard, not spaceship. 🛹 #MVA #SoftwareDesign

Early optimization is a trap. Spinning up Kubernetes, micro-services & Kafka for a 5-user app? Congrats, you’ve just built a nightmare in YAML. 😅 #Overengineering

🚨 The Fallacy of “Best Practices” in #SoftwareArchitecture — sometimes your system is just held together by duct tape and spit. And that’s okay! #DevOps #StartupLife

Just wrote about how we solved the CRDT storage explosion problem at Decipad. Turns out merging Y.js updates intelligently can cut storage costs by 80% while keeping real-time collaboration smooth. Some interesting challenges around preserving causality and handling concurrent

Consistency vs. latency at the edge – it's a constant battle. My new blog post, "Bringing Your Data Closer to Your Code," proposes a path forward with NUDA, allowing for fine-tuned consistency models and leveraging conflict-free data types. The future of distributed data is

Everyone loves tRPC's end-to-end type safety, but what if that comes at a cost? Is losing client-side query flexibility a trade-off worth making? My latest article explores why GraphQL's approach to API design is a better bet for long-term scalability. https://t.co/CN8Rd7l7g7

Building serverless apps on AWS? Drowning in Docker or slow cloud deployments for local dev? My latest blog post shares how I've built a fast, lightweight local sandbox that mirrors AWS without the fuss. Check it out! https://t.co/DsXFJEIeTZ

How I feel dragging my family to social events

Every date library you’ve ever used is lying to you. “2025” isn’t a point in time—it’s the whole year. This kind of fake precision fuels bugs & weird logic in our code. My new post shows a better way: dates as intervals. Read more: https://t.co/lgCzI00Hby If your code doesn’t

Just dropped a new blog post on bringing data closer to your code! 🚀 We're talking faster UX, better offline experiences, and quicker dev feedback. Dive into patterns like Edge Databases and Local-First Stores. Check it out: https://t.co/D8Mg9QQt9k

Just published a deep dive on building **real‑time AI streaming chat services** using AWS Lambda, Architect, and Vercel’s AI SDK 🚀 Learn how to go from local dev to production 💬 Read more: https://t.co/DKjXcocDJP

How @Decipad handles dates: as intervals with granularity, not just precise moments. date(2023) represents the entire year, date(2023-03) the entire month. More intuitive than traditional date systems. Details: https://t.co/zWtEi8YWns

Just published: “Building a Reactive Declarative Language — from grammar to incremental computation.” Dive into how you can go from a grammar definition all the way to efficient, change‑aware execution. It’s like crafting your own live, reactive DSL. 🚀 https://t.co/9ebM3SqiyJ

>> EOF What do you think about this plan?