newsletterOctober 25, 2026·Towards Data Science

Agentic AI in Production: Why Your Agent Keeps Answering After Its Tools Fail

When a tool breaks, an agent can keep going and write a confident answer from nothing while the dashboard stays green. The post Agentic AI in Production: Why Your Agent Keeps Answering After Its Tools Fail appeared first on Towards Data Science.

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Claude Code vs. Cursor: What a Field Test Shows That the Feature Comparisons Miss

One benchmark says Claude Code used 33,000 tokens where Cursor used 188,000. Another says the exact reverse. Here is the field test that actually settles it for your team. The post Claude Code vs. Cursor: What a Field Test Shows That the Feature Comparisons Miss appeared first on Towards Data Scienc

Towards Data Science

Data Enablement for AI: A Practitioner's Guide to 6 Advanced Architectural Patterns

Beyond naive chunk-and-embed: Six production architectures for turning enterprise lakehouses into governed AI platforms. The post Data Enablement for AI: A Practitioner's Guide to 6 Advanced Architectural Patterns appeared first on Towards Data Science.

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How to Add Guardrails to a Local LLM Agent

A hands-on guide with Gemma 4, Ollama, and the OpenAI Agents SDK The post How to Add Guardrails to a Local LLM Agent appeared first on Towards Data Science.

Towards Data Science

Python 3.15 Has a New Profiler

Here's what it finds that cProfile misses The post Python 3.15 Has a New Profiler appeared first on Towards Data Science.

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Agentic AI in Production: Why Your Agent Keeps Answering After Its Tools Fail

Key Takeaways

Related Articles

Claude Code vs. Cursor: What a Field Test Shows That the Feature Comparisons Miss

Data Enablement for AI: A Practitioner's Guide to 6 Advanced Architectural Patterns

How to Add Guardrails to a Local LLM Agent

Python 3.15 Has a New Profiler

Discussion

Agentic AI in Production: Why Your Agent Keeps Answering After Its Tools Fail

Key Takeaways

Related Articles

Claude Code vs. Cursor: What a Field Test Shows That the Feature Comparisons Miss

Data Enablement for AI: A Practitioner's Guide to 6 Advanced Architectural Patterns

How to Add Guardrails to a Local LLM Agent

Python 3.15 Has a New Profiler

Discussion

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Claude Code vs. Cursor: What a Field Test Shows That the Feature Comparisons Miss
One benchmark says Claude Code used 33,000 tokens where Cursor used 188,000. Another says the exact reverse. Here is the field test that actually settles it for your team. The post Claude Code vs. Cursor: What a Field Test Shows That the Feature Comparisons Miss appeared first on Towards Data Scienc

Towards Data Science
Data Enablement for AI: A Practitioner's Guide to 6 Advanced Architectural Patterns
Beyond naive chunk-and-embed: Six production architectures for turning enterprise lakehouses into governed AI platforms. The post Data Enablement for AI: A Practitioner's Guide to 6 Advanced Architectural Patterns appeared first on Towards Data Science.

Towards Data Science
How to Add Guardrails to a Local LLM Agent
A hands-on guide with Gemma 4, Ollama, and the OpenAI Agents SDK The post How to Add Guardrails to a Local LLM Agent appeared first on Towards Data Science.

Towards Data Science
Python 3.15 Has a New Profiler
Here's what it finds that cProfile misses The post Python 3.15 Has a New Profiler appeared first on Towards Data Science.