You’re building an app.
You don’t want to manage servers.
You don’t want to deal with auth.
You don’t want to write APIs.
You choose Supabase.
Postgres is ready.
Auth works.
Storage works.
Realtime works.
You ship fast.
It feels like the backend is gone.
Then the app grows.
More users.
More data.
More features that actually matter.
And production starts behaving oddly.
Some queries return empty results with no obvious error.
Row Level Security blocks data you expect to see.
Realtime subscriptions feel slower as usage increases.
One inefficient query suddenly affects the entire app.
What’s actually happening isn’t mysterious.
You didn’t remove the backend.
You moved it.
Supabase is not “no backend”.
It’s:
• A managed PostgreSQL database
• Exposed directly to the client
• With access control enforced inside the database
That design choice changes how everything works.
In a traditional setup:
Client → Server → Database
Your server handles auth, validation, and business logic.
With Supabase:
Client → Database
The database takes on those responsibilities.
That means your database becomes:
• The API your frontend talks to
• The place where permissions are enforced
• The layer where business rules live
• The main factor in performance
Security now lives in Row Level Security policies.
Every query is filtered by those rules.
If a policy is wrong or inefficient, queries fail or slow down quietly.
Logic moves into SQL, functions, and triggers.
Instead of fixing a route handler, you’re debugging database behavior.
Performance still works the same way it always has.
Indexes matter.
Joins matter.
Schema design matters.
Supabase removes infrastructure work.
You don’t manage servers or deployments.
But it doesn’t remove database work.
You still have to:
• Understand how Postgres executes queries
• Design tables and relationships carefully
• Think about access patterns from the client
• Watch for slow or expensive queries
Supabase makes starting easier.
The rest is still on you.
Stop wasting hours trying to learn AI. 📘📚
I have already done it for you.
With one list. Zero confusion. And no fluff
📹 Videos:
1. LLM Introduction: https://t.co/OLkDaY7H7g
2. LLMs from Scratch: https://t.co/2N91lxtSh1
3. Agentic AI Overview (Stanford): https://t.co/4xX3JiNUlm
4. Building and Evaluating Agents: https://t.co/paoZnUdySm
5. Building Effective Agents: https://t.co/TICgQVUFCk
6. Building Agents with MCP: https://t.co/EPKu3G7Fms
7. Building an Agent from Scratch: https://t.co/U3XSK0Qx85
8. Philo Agents: https://t.co/wGNERv8TpH
🗂️ Repos
1. GenAI Agents: https://t.co/mmvbJpOSlG
2. Microsoft's AI Agents for Beginners: https://t.co/zQLhaT3Wpl
3. Prompt Engineering Guide: https://t.co/wYFPPKX4H1
4. Hands-On Large Language Models: https://t.co/92ZZJh6MXG
5. AI Agents for Beginners: https://t.co/zQLhaT3Wpl
6. GenAI Agentshttps://lnkd.in/dEt72MEy
7. Made with ML: https://t.co/gvzfW6aKnf
8. Hands-On AI Engineering:https://t.co/DHTvNbpMVk
9. Awesome Generative AI Guide: https://t.co/jfjbl5CQvA
10. Designing Machine Learning Systems: https://t.co/KIV2X9uKQs
11. Machine Learning for Beginners from Microsoft: https://t.co/Gdl4oZxQEY
12. LLM Course: https://t.co/59QVZqGED0
🗺️ Guides
1. Google's Agent Whitepaper: https://t.co/Psy7vqkVR2
2. Google's Agent Companion: https://t.co/sdw5mZhsOM
3. Building Effective Agents by Anthropic: https://t.co/euyR1t8Dg0.
4. Claude Code Best Agentic Coding practices: https://t.co/psPsyWWMwH
5. OpenAI's Practical Guide to Building Agents: https://t.co/67B9XaLolZ
📚Books:
1. Understanding Deep Learning: https://t.co/j5xz5XfkFL
2. Building an LLM from Scratch: https://t.co/TX8BJPpxX0
3. The LLM Engineering Handbook: https://t.co/rSWCiuvZYW
4. AI Agents: The Definitive Guide - Nicole Koenigstein: https://t.co/m3Tq3vE6Go
5. Building Applications with AI Agents - Michael Albada: https://t.co/QM4mYlYdWh
6. AI Agents with MCP - Kyle Stratis: https://t.co/sIqEe430D6
7. AI Engineering: https://t.co/hs4bN4xFAV
📜 Papers
1. ReAct: https://t.co/k3tFy7pbvR
2. Generative Agents: https://t.co/yQp1Tjl94i.
3. Toolformer: https://t.co/RKBauj9GVX
4. Chain-of-Thought Prompting: https://t.co/fVqbr68wvt.
🧑🏫 Courses:
1. HuggingFace's Agent Course: https://t.co/OYgR6C8HNd
2. MCP with Anthropic: https://t.co/n5nnFc9DUC
3. Building Vector Databases with Pinecone: https://t.co/MLhJnfbdGG
4. Vector Databases from Embeddings to Apps: https://t.co/31zEvnwtfZ
5. Agent Memory: https://t.co/ldYc6RVmMj
Repost for your network ♻️
A big thank you to all the brilliant minds who began the 48-hour Innovate 254 Hackathon in Homa Bay County.
Your creativity, energy, and commitment as we push through the next few days are exactly what drives innovation forward.
Konza Technopolis is proud to stand alongside you as a partner, judge, and mentor cheering you on every step of the way @HuaweiKenya
#SiliconSavannah
D-Day is here! After an intense 48-hour innovation marathon, finalists are now presenting their solutions. As a proud partner, judge, and mentor at the #Innovate254Hackathon, Konza Technopolis celebrates the creativity, resilience, and brilliance on display
@ICTAuthorityKE@HuaweiKenya@MoICTKenya
#SiliconSavannah #DevCon2025 #DevolutionConference2025
Today, we begin a bold journey to reshape journalism with truth, transparency, and trust. Guided by A.J. Liebling’s words, we explore innovative tools to tackle digital media challenges. Proud to join a student-led hackathon reimagining the future of media.#KenSafeSpace