#Ratelimiting

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#Ratelimiting Reel by @ecogrowthpath - Answer: I secure APIs using a layered approach: Authentication & Authorization: OAuth2/JWT with centralized Identity Provider API Gateway: Acts as a
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EC
@ecogrowthpath
Answer: I secure APIs using a layered approach: Authentication & Authorization: OAuth2/JWT with centralized Identity Provider API Gateway: Acts as a single entry point with rate limiting & request validation Service-to-Service Security: mTLS for encrypted internal communication Input Validation & Sanitization: Prevent injection attacks Rate Limiting & Throttling: Protect against abuse and DDoS Secrets Management: Use Vault/Secrets Manager instead of hardcoding Monitoring & Logging: Detect anomalies and unauthorized access This ensures defense-in-depth across all layers of microservices. #MicroservicesSecurity #SystemDesign #APISecurity #TechInterview #BackendEngineering 🚀 follow&Ready to level up your career, SystemmDesign ,tech leadership, and financial mindset. Get guided through 1:1 coaching and mentoring sessions designed for real growth. 📩 Book your session from Bio https://topmate.io/ecogrowthpath/ Let’s build clarity, confidence, and consistent progress together. 💡
#Ratelimiting Reel by @jeetsoni.dev - If your app lets an AI write code… and you execute it "normally"… you built a remote-control exploit.Even if the user isn't malicious. Here's what ac
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JE
@jeetsoni.dev
If your app lets an AI write code… and you execute it “normally”… you built a remote-control exploit.Even if the user isn’t malicious. Here’s what actually happens in production: the model writes “helpful” code, that code touches your environment, and now your infrastructure is the tool. SECRET SPILL (credentials accidentally exposed) - “Secrets” (API keys, tokens) live in env vars, config files, build logs, and debug output.AI-generated code loves printing, logging, and “introspecting” (looking around to understand the system). One console.log(process.env) and you’re done. NETWORK ESCAPE (calls the internet like it’s a feature) - If the runtime has open network access, the code can fetch arbitrary URLs, hit internal services, or phone home.That’s why sandboxes matter: you want network allow-lists (only these domains) instead of “anything goes.” FILE SYSTEM BOOMERANG (reads once, leaks forever) - The code can read local files (configs, cached data, customer exports) and then paste them into the next model response.Even worse: it can write a “helpful” artifact that becomes persistent poison (a file the agent keeps reusing). INFINITE COMPUTE BILL (timeouts + quotas are security controls) - A while-loop isn’t just a bug — it’s a cost attack.You need hard limits: CPU time, memory, disk, runtime duration, and tool-call budgets. KEY TAKEAWAY - The hire-level answer is: don’t “trust the model.” Trust boundaries.Run untrusted code in a sandbox (isolated, disposable environment), with locked-down network + no ambient secrets + strict resource limits. 💾 Save this before your next AI engineering interview. 💬 Comment 'SANDBOX' and I'll DM you the full guide 👇 #aiengineering #llmops #generativeai #aiagents #contextengineering aitools buildwithllms aiapps aievals promptengineering sandbox appsecurity vercelsandbox toolcalling securebydesign
#Ratelimiting Reel by @thedesiarchitect - AI se code likhwana easy hai… lekin production bachana engineer ka kaam hai. Amazon engineering discussions mein AI-assisted deployment incident highl
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@thedesiarchitect
AI se code likhwana easy hai… lekin production bachana engineer ka kaam hai. Amazon engineering discussions mein AI-assisted deployment incident highlight hua jahan ek misconfigured permission ne services impact kar di. Real lesson 👇 AI code likh sakta hai… lekin production survive karwana architect ka kaam hai. Follow @desiarchitect for real system design lessons. #ai #softwareengineering #systemdesign #devops #techreels
#Ratelimiting Reel by @aiinnetworking1 - AI Helps, Humans Decide ⚡ AI can detect patterns and raise alerts, but it doesn't understand context or intent. Strong engineers verify, investigate,
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@aiinnetworking1
AI Helps, Humans Decide ⚡ AI can detect patterns and raise alerts, but it doesn’t understand context or intent. Strong engineers verify, investigate, and make the call. Humans are still essential in IT Check the link in my bio for the full AI playlist #AIinIT #NetworkingStudent #SysAdminLife #TechReels #NetworkTroubleshooting
#Ratelimiting Reel by @htekdev - 🤖 The moment you put an LLM in a loop, you've created an agent. And now? You're obligated to handle: ⚡ Context compaction (tokens run out fast) 🔐
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@htekdev
🤖 The moment you put an LLM in a loop, you've created an agent. And now? You're obligated to handle: ⚡ Context compaction (tokens run out fast) 🔐 Tool approvals (or you're just YOLOing) 🛡️ Hardening (agents need guardrails) This is exactly why 2026 is the year of Agent Harnesses — the infrastructure that wraps around your AI to keep it safe, compliant, and actually useful in production. The model is the engine. The harness is the car. 🚗 Without steering and brakes, that engine goes nowhere useful. Full breakdown in the video — link in bio! 🔗 #AI #AIAgents #LLM #DevOps #AgenticAI #MachineLearning #SoftwareEngineering #TechTok #Coding #Programming #ArtificialIntelligence #AgentHarness #Guardrails #TechCommunity #DevLife #CodeLife #FutureTech #AIAutomation #AgenticDevOps #TechNews #Innovation #StartupLife #BuildInPublic #LearnToCode #SoftwareDevelopment #AITools #MLOps #DataScience #TechTips #Developer
#Ratelimiting Reel by @htekdev - Your AI agent wants to import fs? 🚫 Not today. Here's the deal: One simple hook rule can control exactly what your AI agents are allowed to do. Bloc
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@htekdev
Your AI agent wants to import fs? 🚫 Not today. Here's the deal: One simple hook rule can control exactly what your AI agents are allowed to do. Block core module imports outside your core folder and suddenly you've got real guardrails. The agent tries to reference fs or path? Permission denied. ❌ This is how you stay in control when working with agentic AI. It's not about limiting capability—it's about directing it. 🎯 Drop a 🔒 if you're implementing AI guardrails in your workflow! #AI #AgenticAI #GitHooks #Programming #DevLife #CodeSecurity #AIGuardrails #TechTips #SoftwareEngineering #Coding #Developer #Tech #AITools #Automation #WebDev #CodeNewbie #LearnToCode #TechCommunity #AIdev #BuildInPublic #CodingLife #DevCommunity #SoftwareDev #TechTalk #Innovation #FutureTech #AIControl #SecureCoding #DevTips #CodeLife
#Ratelimiting Reel by @your_data_scientist - AI engineers: stop pretending you know how to deploy. Here's the uncomfortable truth - most of us can write model inference code, build RAG pipelines
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@your_data_scientist
AI engineers: stop pretending you know how to deploy. Here’s the uncomfortable truth — most of us can write model inference code, build RAG pipelines, even fine-tune models. But ask us to take that from a Jupyter notebook to a production endpoint and things fall apart fast. Deployment isn’t just “push to cloud.” It’s a discipline. And if you’re building AI apps without understanding it, you’re only doing half the job. Here’s the actual roadmap I follow: 1. Write your FastAPI server Wrap your model or pipeline behind clean API endpoints. Think about request validation, error handling, and async where it matters — not just a /predict route that works on your machine. 2. Containerize with Docker A Dockerfile isn’t optional. It’s how you guarantee your app runs the same everywhere — your laptop, staging, production. Pin your dependencies. Keep your images lean. 3. Push to a cloud container registry Whether it’s ACR, ECR, or GCR — your container image needs a home in the cloud before it can be deployed. This is the bridge between “it works locally” and “it works in production.” 4. Deploy as a managed web app Azure App Service, AWS ECS, GCP Cloud Run — pick your platform. The point is: your container runs behind a real URL with scaling, logging, and health checks built in. 5. Automate everything with CI/CD This is what separates hobbyists from engineers. A GitHub Actions or Azure DevOps pipeline that builds, tests, and deploys on every push. No manual steps. No “let me SSH in real quick.” That’s the full loop. Notebook to production, repeatable and reliable. If you’re an AI engineer who can’t deploy what you build, you’re leaving half your value on the table. This isn’t DevOps gatekeeping — it’s the baseline. #AIEngineering #DevOps #FastAPI #Docker #CloudDeployment BackendDevelopment
#Ratelimiting Reel by @htekdev - Your AI agent wants to edit files? Not without approval. 🔐 Here's how digital signatures keep AI in check: 🤖 Agent tries to edit requirements 🛑 H
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@htekdev
Your AI agent wants to edit files? Not without approval. 🔐 Here's how digital signatures keep AI in check: 🤖 Agent tries to edit requirements 🛑 Hook stops it cold 👤 User gets prompted for approval ✍️ Content gets cryptographically signed ✅ Only THEN does the edit go through This is what responsible AI development looks like. Human oversight + automation = the perfect balance. Drop a 🔒 if you're implementing AI security in your workflow! #AISecurity #DevOps #DigitalSignatures #AIAgents #CodingLife #TechTalk #DeveloperLife #SoftwareEngineering #AIWorkflow #SecureDev #CodeSecurity #Programming #TechEducation #AITools #DevTools #Automation #CyberSecurity #TechTrends #FutureTech #AIEthics #ResponsibleAI #CodeReview #SoftwareDev #TechCommunity #DevCommunity #AIInnovation #SecurityFirst #TechTips #LearnToCode #CodeNewbie
#Ratelimiting Reel by @coderhouse_buddies - API = the real MVP behind your favorite apps 🔥 No magic, just smart communication between systems 🚀 Simple concept, powerful impact 😎 #API #Tech
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@coderhouse_buddies
API = the real MVP behind your favorite apps 🔥 No magic, just smart communication between systems 🚀 Simple concept, powerful impact 😎 #API #Tech #Coding #Developers #Programming
#Ratelimiting Reel by @rishabh.techhub - AI can write the code… but the real struggle starts with the backend. Database, authentication, APIs, storage - developers ka **half time isi setup m
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@rishabh.techhub
AI can write the code… but the real struggle starts with the backend. Database, authentication, APIs, storage — developers ka **half time isi setup me chala jata hai. InsForge isi problem ko solve karta hai. A backend platform built for AI coding agents so AI can actually manage the backend too. Meaning: AI + developer = faster full-stack apps. Save this if you’re learning AI development. #AIDevelopment #BackendDevelopment #DevTools #BuildInPublic #programminglife
#Ratelimiting Reel by @nine.agents - 12MB ka lightweight tool… aur tumhara browser ban gaya HTTP API 🤯 AI agents ab websites pe jaake navigate, click, form fill, login, session maintain
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@nine.agents
12MB ka lightweight tool… aur tumhara browser ban gaya HTTP API 🤯 AI agents ab websites pe jaake navigate, click, form fill, login, session maintain — sab kuch kar sakte hain. No config. Open-source. Plug & play. Comment “Agent” — repo link DM mein 🚀 #AIAgents #WebAutomation #OpenSource #DevTools #Automation
#Ratelimiting Reel by @techalmirahofficial - API Gateway simplified. https://techalmirah.com/microservices-architecture/ #APIGateway #AWS #DevOps
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@techalmirahofficial
API Gateway simplified. https://techalmirah.com/microservices-architecture/ #APIGateway #AWS #DevOps

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