I've been a backend Engineer for 12+ years. Today, I'm a Principal Engineer at Atlassian.
I've designed systems that handle millions of requests. Sat on both sides of system design interviews.
Reviewed more architecture docs than I can count.
Starting today, I'm breaking down the fundamentals of scaling for the next 25 days.
If you're learning system design bookmark this thread, you're going to get a lot of learning from this.
Hey Andras, I’m exploring a related direction with rustwing, but focused on the backend side.
It generates Axum + SQLx backends with auth, resources, services, repos, migrations, OpenAPI docs, client generation, workers, and LLM hooks wired in.
Would love your thoughts:
https://t.co/wzV7VtB1E7
🚀 MiMo Code V0.1 is now live and open-source!
More than an AI coding assistant in your terminal — it's the smartest coding partner you'll ever work with.
Comes with MiMo V2.5, a multimodal model available free for a limited time, featuring a million-token context window—ready to use out of the box.
♾️ Infinite Context: Knowledge accumulates automatically, and with lossless compression, even million-line projects keep every critical detail intact—quality never drops.
🧠 Agent-Model Synergy: An Agent framework deeply optimized for MiMo, with a full closed loop of testing, review, and validation—so complex tasks get done in one pass.
📝 Compose Mode: Specs → Plans → Build → Report. Design first, code second—clear thinking, no rework.
🔄 Self-Evolving System: Every session is automatically reviewed, distilling experience and best practices—the more you use it, the smarter it gets.
🎙️ Voice Input: Powered by MiMo-V2.5-ASR — just speak instead of type, and your voice becomes the prompt for truly hands-free coding.
🔌 Claude Code Compatible: Automatically loads your existing skills, MCP servers and commands, and reuses your API configuration—zero-cost migration, no setup required.
🌐 Open & Flexible: MIT licensed, with support for leading model providers including Anthropic, OpenAI, DeepSeek, Kimi, GLM and more.
Install in one line:
Mac & Linux
curl -fsSL https://t.co/ViHsb4eGns | bash
(For the best experience,we recommand Mac user use it on iTerm or vscode terminal)
Windows
npm install -g @mimo-ai/cli
🔗 Learn more
Website ↓
https://t.co/Aq9BVuyA9a
Blog ↓
https://t.co/f40wLgQicK
GitHub ↓
https://t.co/O5Mj3rzl9g
Key points
> We need to move from basic transparency to real safety rules for frontier AI.
> Powerful models should be tested and audited before release, especially for cyber, bio, autonomy, and dangerous R&D risks.
> Governments should be able to block or reverse deployment when a model poses unacceptable public-safety risks.
> AI could create huge economic growth, but also serious job displacement and inequality.
> Policy should prepare for this with better labor-market tracking, worker support, retraining, wage insurance, and possibly broader income support.
> AI can also greatly speed up science, medicine, energy, and other fields, so regulators need to adapt instead of slowing useful breakthroughs.
> Democracies need stronger protections against AI-enabled surveillance, autonomous weapons, and abuse of state or corporate power.
> Democratic countries should coordinate on AI safety, chip supply chains, defense, and sharing AI’s benefits.
3M+ POS terminals that stay online even when the whole backend is on fire?
Moniepoint explains how they did it:
> layered caching
> event-driven evictions
> local cache right on the device
Watch the reliability talk if you’re into distributed systems or fintech or just curious:
At Flow Research, every framework, standard, and protocol begins with a simple question ?
What would make human-AI work more sustainable, transparent, and beneficial for everyone involved?
Our website is where we document that process openly, from research findings and standards to the ideas we're actively exploring.
If you're interested in the future of AI, work, and economic opportunity.
start here: https://t.co/Zx7C5or4C6