I assume you came across these lists from Microsoft, if not here is the link. In summary, we can interpret it as AI "replicability" and "resiliency". I personally think we will be surprised in 5 years. With regards to data engineering I was wondering if DE will get replaced first or DS as mentioned in the list. We kinda do "plumbing" for data 😉
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Azuros is back, check this one as well if you missed it https://m.youtube.com/watch?v=xIk0_uFV-rU&t=1s&pp=2AEBkAIB
YouTube
Interview with Cloud Architect in 2025
Cloud Architects
https://linkgraph.net
All lines soon printed on merch... https://posix.store/
https://www.patreon.com/ProgrammersAreAlsoHuman
Interview with a Cloud Architects in 2025 with Azuros Cloudapi - aired on © The CTO.
Scripts inspired by X account…
https://linkgraph.net
All lines soon printed on merch... https://posix.store/
https://www.patreon.com/ProgrammersAreAlsoHuman
Interview with a Cloud Architects in 2025 with Azuros Cloudapi - aired on © The CTO.
Scripts inspired by X account…
AWS introduced the AWS Data Processing MCP Server, an open-source tool that uses the Model Context Protocol (MCP) to simplify analytics environment setup on AWS.
Amazon
Accelerating development with the AWS Data Processing MCP Server and Agent | Amazon Web Services
We're excited to introduce the AWS Data Processing MCP Server, an open-source tool that uses the Model Context Protocol (MCP) to simplify analytics environment setup on AWS. In this post, we explore how the AWS Data Processing MCP Server accelerates analytics…
How To Keep AI From Making Your Employees Stupid
https://www.bigdatawire.com/2025/07/09/how-to-keep-ai-from-making-your-employees-stupid/
https://www.bigdatawire.com/2025/07/09/how-to-keep-ai-from-making-your-employees-stupid/
BigDATAwire
How To Keep AI From Making Your Employees Stupid
Where I live in Bend, Oregon, the biggest challenge often used to be deciding which hiking trail to conquer. These days, a new, more existential question
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GitHub - VoltAgent/awesome-claude-code-subagents: Production-ready Claude subagents collection with 100+ specialized AI agents for full-stack development, DevOps, data science, and business operations.
https://github.com/VoltAgent/awesome-claude-code-subagents
https://github.com/VoltAgent/awesome-claude-code-subagents
GitHub
GitHub - VoltAgent/awesome-claude-code-subagents: Production-ready Claude subagents collection with 100+ specialized AI agents…
Production-ready Claude subagents collection with 100+ specialized AI agents for full-stack development, DevOps, data science, and business operations. - VoltAgent/awesome-claude-code-subagents
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Introducing LangExtract: A Gemini powered information extraction library
Googleblog
Google for Developers Blog - News about Web, Mobile, AI and Cloud
Explore LangExtract: a Gemini-powered, open-source Python library for reliable, structured information extraction from unstructured text with precise source grounding.
Cursor makes developers less effective?
The Pragmatic Engineer
Cursor makes developers less effective?
A study into the workflows of experienced developers found that devs who use Cursor for bugfixes are around 19% slower than devs who use no AI tools at all. One possible takeaway is that AI tools can be harder work than we’re led to believe.
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Looks like the semantic layer is becoming a new standard feature in analytical engineering. I think it is boosted by LLM adoption and MCP. I am experimenting with MetricFlow from dbt, but other vendors such as Snowflake are also providing such functionality.
https://www.bigdatawire.com/2025/08/21/atscale-likes-its-odds-in-race-to-build-universal-semantic-layer/
https://www.bigdatawire.com/2025/08/21/atscale-likes-its-odds-in-race-to-build-universal-semantic-layer/
BigDATAwire
AtScale Likes Its Odds in Race to Build Universal Semantic Layer
Semantic layers are suddenly a hot commodity thanks to their capability to make private business data make sense to AI models. Databricks and Snowflake
Netflix has introduced a new engineering specialization—Media ML Data Engineering.
Medium
From Facts & Metrics to Media Machine Learning: Evolving the Data Engineering Function at Netflix
By Dao Mi, Pablo Delgado, Ryan Berti, Amanuel Kahsay, Obi-Ike Nwoke, Christopher Thrailkill, and Patricio Garza
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LLMs from Scratch Using Middle School Math | TDS Archive
https://medium.com/data-science/understanding-llms-from-scratch-using-middle-school-math-e602d27ec876
https://medium.com/data-science/understanding-llms-from-scratch-using-middle-school-math-e602d27ec876
Medium
Understanding LLMs from Scratch Using Middle School Math
In this article, we talk about how LLMs work, from scratch — assuming only that you know how to add and multiply two numbers. The article…
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Snowflake Unites Industry Leaders to Unlock AI's Potential with the Open Semantic Interchange Initiative
https://www.snowflake.com/en/blog/open-semantic-interchange-ai-standard/
https://www.snowflake.com/en/blog/open-semantic-interchange-ai-standard/
AI Agents from First Principles | Pramod’s Blog
https://goyalpramod.github.io/blogs/AI_agents_from_first_principles/
https://goyalpramod.github.io/blogs/AI_agents_from_first_principles/
Pramod’s Blog
AI Agents from First Principles
If you exist between the time period of late 2024 to 2027 (my prediction of when this tech will become saturated and stable), And do not live under a rock. You have heard of AI agents.
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