Anthropic just ditched Git for Scion—their custom VCS built for AI agents
Git was built for offline humans holding full clones
Scion is built for always-online parallel agents doing 30k+ server-side merges daily
When agents write most of the code, version control has to evolve
Anthropic just ditched Git for Scion—their custom VCS built for AI agents
Git was built for offline humans holding full clones
Scion is built for always-online parallel agents doing 30k+ server-side merges daily
When agents write most of the code, version control has to evolve
The biggest mistake "vibe coders" make: ignoring authorization.
Your AI can scaffold authentication in seconds and still leak another user's private data. 😳
🔐 Authentication = Who you are
🛡️ Authorization = What you can access
Always test with 2 accounts before shipping. 🛠️
The biggest mistake "vibe coders" make: ignoring authorization.
Your AI can scaffold authentication in seconds and still leak another user's private data. 😳
🔐 Authentication = Who you are
🛡️ Authorization = What you can access
Always test with 2 accounts before shipping. 🛠️
@codvynn Hey! Appreciate the shoutout. Right now experimenting with health assistant workflows and conversational RAG—focusing on clean chunking so the model doesn't hallucinate.What are you building lately?
Hit 21 followers! 🎉
Looking to connect with more builders:
🐍 Python & Backend
🤖 AI & RAG
🚀 Freelancers & Indie Hackers
🎯 Freshers on the job grind
Say hi, drop what you're building, and let’s connect! 🤝
Day 01/60: System Design 🔥
Why do apps crash? One server. 🖥️
➕ Follow so you don't miss Day 2: what actually happens when you type https://t.co/FRLLDEpNwU and press enter?
AI has commoditized writing syntax, but it cannot decide how your system handles failure.
As code generation becomes free, the entire value of an engineer shifts to: • System boundaries • Data consistency • Cost & latency trade-offs
System design is the moat. 🛠️
AI has commoditized writing syntax, but it cannot decide how your system handles failure.
As code generation becomes free, the entire value of an engineer shifts to: • System boundaries • Data consistency • Cost & latency trade-offs
System design is the moat. 🛠️
The biggest shift in dev tooling isn't autocompleting functions—it's agentic CI/CD.
Offload linting, basic test coverage, and regression checks to automated AI passes.
Humans should review architecture and risk tiers, not missing commas. 🛠️
The biggest shift in dev tooling isn't autocompleting functions—it's agentic CI/CD.
Offload linting, basic test coverage, and regression checks to automated AI passes.
Humans should review architecture and risk tiers, not missing commas. 🛠️
Hit 50+ followers! 🎉
Looking to connect with more builders:
🐍 Python & Backend
🤖 AI & RAG
💻 Next.js & Full-Stack
🤝 Freshers shipping projects
Drop what you’re building below—let’s connect! 🤝
Hit 50+ followers! 🎉
Looking to connect with more builders:
🐍 Python & Backend
🤖 AI & RAG
💻 Next.js & Full-Stack
🤝 Freshers shipping projects
Drop what you’re building below—let’s connect! 🤝
@bigdata_engnr That’s a powerful combo. Are you working mainly with Superset / Metabase on the BI side, or plugging LLMs directly into custom text-to-SQL layers?
The 3 stages of debugging an API endpoint:
1. "Why is this taking 3.8s? The model must be throttling."
2. "Wait, the external call took 200ms."
3. Discovering an unindexed SQL query running inside an async loop. 💀
Tech stack: 1, Ego: 0.
@jevlorde Hey Jev, followed back! AI agents on Android is an awesome intersection. Are you running on-device models with MediaPipe / LiteRT or hitting cloud endpoints? Happy to share RAG notes anytime! 🤝