The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
Back to feedPost
𝟑 𝐦𝐢𝐬𝐭𝐚𝐤𝐞𝐬 𝐟𝐨𝐮𝐧𝐝𝐞𝐫𝐬 𝐦𝐚𝐤𝐞 𝐰𝐡𝐞𝐧 𝐥𝐚𝐮𝐧𝐜𝐡𝐢𝐧𝐠 𝐚𝐧 𝐀𝐈 𝐚𝐩𝐩: 👇
No security review. API keys in the code are the most common leak.
No monitoring. You find out about bugs from angry users, not alerts.
No deployment pipeline. Every update becomes a risky manual job.
Fixing these early costs far less than fixing them after launch.
Which one have you run into? 👇
#AI #DevOps #Startups #SoftwareDevelopment
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
Related posts
🎃🎃🎃 Halloween special, part 1: the scariest things that happen to apps after launch
🕯️ The App Store rejection email. It lands the morning of your big announcement
🔔 The permission prompt asked too early. One tap on "Don't Allow" and push notifications are gone for good
🕸️ The slow screen. Nobody complains. Users just quietly stop opening the app
🧟 The forgotten test account. It breaks, and App Review rejects you for something you never saw
🪦 The abandoned app. No updates for a year, and the OS update that finally kills it
The antidote is boring and works every time: test early, monitor everything, ship small.
Which one scares you most?:)))
Love this!
🚀 Can terminal AI agents replace your IDE?
OpenCode, Codex CLI, Aider, and more — which one fits your workflow?
📖 Find out: https://bit.ly/4iNk9XJ
#AI #Coding #DevTools
bit.ly
Are Terminal AI Coders Finally Ready to Replace IDEs?
Compare the top open source AI coding agents for your terminal in 2026 - OpenCode, Codex CLI, Aider, OpenHands & more. Local models & honest trade-offs.
Proud to officially add the AWS Certified Machine Learning Engineer - Associate certification to my toolkit!
Building robust machine learning pipelines and scaling AI workloads securely on the cloud has always been a key focus of mine. Earning this certification has been a great deep-dive into mastering AWS ML infrastructure, MLOps best practices, and production-grade architectures.
Ready to bring these advanced capabilities to upcoming data science and engineering projects! Let's build something impactful. 💡💪
🔗 Verify Certificate:
Validation Number: 74c5808986a64b84addcaa9db725b8bd
Verification Link: https://aws.amazon.com/verification
#AWS #MachineLearning #AI #CloudComputing #DataAnalysis #MLOps
Congratulations on earning the AWS Machine Learning Engineer certification, Hazem khaled! Robust pipelines and cloud automation make all the difference for production-grade AI systems.