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Tinkering with Pi in Docker – it’s surprisingly fun to build with your own agent!
This past month I've been diving head first into using a agentic coding harness and it's been a lot of fun! I decided to go trying out #pi from pi.dev for several reasons:
- I like the philosophy of building a coding agent the way *you* want it. Plus I love customization! 😁
- As a fellow tinkerer and builder I reall
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Module 1 of LLM Zoomcamp is done! 🎉
I turned my original RAG pipeline into an Agent!
I spent these last few days diving deep into Agentic RAG. It's been fascinating to build it step by step. Every time I ask the LLM to learn about something new, I see how it naturally figures out which tools to use, when to search, and how many times to gather info before giving me a solid answer.
What exactly i
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🎉 Milestone Unlocked: Finished the Data Engineering Zoomcamp!
In 10 weeks, I moved from scripting to architecting systems. We built real production-grade infrastructure using Spark, Kafka, Airflow, and Kestra—not just hobby projects.
Capstone: A Storage Hard Drive Dashboard using real failure data from Backblaze
Stack: Terraform + Docker infra, Airflow orchestration, dbt modeling, Streamlit viz.
K
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End-to-End Storage Drive Analytics Platform Complete! 🚀
Spent the past weeks on my Data Engineering Zoomcamp final project. Excited to share an end-to-end platform analyzing Backblaze hard drive data to bridge enterprise telemetry and consumer accessibility.
The pipeline ingests daily SMART snapshots into GCS, builds a star schema with dbt, and serves insights via Streamlit dashboard showing failu
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🔥 Top post: Tinkering with Pi in Docker – it’s surprisingly fun to build wit · 5 likes + reposts
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🔥 Top post
Tinkering with Pi in Docker – it’s surprisingly fun to build with your own agent!
This past month I've been diving head first into using a agentic coding harness and it's been a lot of fun! I decided to go trying out #pi from pi.dev for several reasons:
- I like the philosophy o…
🧠 From Simple Indexing to Semantic Understanding: Why I Layered Both Approaches
Finishing LLM Zoomcamp Module 2 felt like leveling up my RAG system. I was already doing agentic RAG in Module 1, but vector search opened a whole new layer of…
Module 1 of LLM Zoomcamp is done! 🎉
I turned my original RAG pipeline into an Agent!
I spent these last few days diving deep into Agentic RAG. It's been fascinating to build it step by step. Every time I ask the LLM to learn about someth…
🛠️I spent 10 hours last week mapping out a RAG pipeline. Three things became clear:
Week 1 of building this from scratch was intense but rewarding. I wanted to understand how the pieces fit together before jumping into implementation. That…
🚀Super excited to start the LLM Zoomcamp 2026 Course by DataTalksClub next week on June 8th!
For some time, I've been a casual user of LLM systems—consuming AI tools but never really understanding how they work under the hood. Now, that's …
Hi Local AI enthusiasts! Just wanted to share a neat discovery I made while experimenting with local AI setups.
I’ve been a long time user of the Obsidian note taking app and recently discovered this Co-pilot plugin, it’s pretty cool! It l…
🎉 Milestone Unlocked: Finished the Data Engineering Zoomcamp!
In 10 weeks, I moved from scripting to architecting systems. We built real production-grade infrastructure using Spark, Kafka, Airflow, and Kestra—not just hobby projects.
Capst…
End-to-End Storage Drive Analytics Platform Complete! 🚀
Spent the past weeks on my Data Engineering Zoomcamp final project. Excited to share an end-to-end platform analyzing Backblaze hard drive data to bridge enterprise telemetry and cons…
⚡️ Week 7 Complete! Streaming with PyFlink
Module 7 was an eye-opener compared to batch processing. Huge thanks for such an engaging course DataTalksClub!
🔍 Key Takeaways
- Set up Kafka/Redpanda with real-time taxi trip data
- Watermarks …
Diving deep into Spark batch processing!⚡️
Learned how to:
✅ Optimize data pipelines with filtering, repartitioning & grouping
✅ Design efficient ETL pipelines with Spark
✅ Understanding when and how to use partitioning strategies
✅ Use Go…
Just completed a project building an end-to-end data pipeline for NYC taxi data using dlt 🚕📊! What a ride! 😅 The REST API extraction was particularly fun (in a challenging way) but dlt's modular design made it manageable. Here’s what I lea…
Just finished Analytics Engineering with dbt in @DataTalksClub's free course – a deep dive into building data pipelines for analytics. 🚀
Key learnings:
✅️ Built transformation models with dbt from raw CSV/Parquet files in Google Cloud Stor…
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