Data Validation, Data Engineering, Schema Enforcement, Data Integrity

Study finds AI models store memories and logic in different neural regions
arstechnica.com·10h·
Discuss: Hacker News
🔬Synthetic Data
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Boosting Your Dev Career: A Deep Dive into Free AI Tools for Developers (2025-11-08)
dev.to·3d·
Discuss: DEV
Pydantic
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A Privacy-Preserving Federated Learning Method with Homomorphic Encryption in Omics Data
arxiv.org·5h
🔬Synthetic Data
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EmoBang: Detecting Emotion From Bengali Texts
arxiv.org·5h
Pydantic
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Big Changes Are Coming to AI Regulation in 2026
dev.to·19h·
Discuss: DEV
🔬Synthetic Data
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BridgeVoC: Revitalizing Neural Vocoder from a Restoration Perspective
arxiv.org·5h
Ruff
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From Product Manager to AI Builder: What It Takes to Go from Prompt to Production
dev.to·7h·
Discuss: DEV
🤖GitHub Actions
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DRAGON: Guard LLM Unlearning in Context via Negative Detection and Reasoning
arxiv.org·5h
Pydantic
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Building a Producer–Consumer Pipeline in Go Using Goroutines and Channels
dev.to·15h·
Discuss: DEV
📊Parquet
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What if 100 agents could optimize your code simultaneously in isolated production environments without copying data?
dev.to·1d·
Discuss: DEV
🚀SQL Optimization
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Clinical-ComBAT: a diffusion-weighted MRI harmonization method for clinical applications
arxiv.org·1d
📓Jupyter Notebooks
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DWM-RO: Decentralized World Models with Reasoning Offloading for SWIPT-enabled Satellite-Terrestrial HetNets
arxiv.org·5h
📨Kafka
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Monitoring Autonomous Systems Telemetry: Building an HFT-Grade Network Analysis Pipeline for UDP-based Protocols
dev.to·1d·
Discuss: DEV
🔄Data Pipelines
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Top Open-Source MCP Servers and SDKs to Explore: Your Gateway to AI Superpowers
dev.to·4h·
Discuss: DEV
🔧Dagster
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The Workflow of the Future Is Already Here (And It's Nothing Like You Think)
dev.to·2d·
Discuss: DEV
🔄Data Pipelines
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Building AI-Powered BSS: A Developer’s Perspective on Telecom’s Next Evolution
dev.to·20h·
Discuss: DEV
🔄Data Pipelines
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Confidence-Guided Stepwise Model Routing for Cost-Efficient Reasoning
arxiv.org·5h
🐻‍❄️Polars
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Walking the Tightrope of LLMs for Software Development: A Practitioners' Perspective
arxiv.org·5h
🏗️Design Patterns
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