First in a series on probabilistic forecasting for physical signals. Next: what happens when you roll the forecast forward more than one step.

The post Your Model’s MSE Is Lying to You appeared first on Towards Data Science.

When Codex is the right shape for the problem, when Claude Code is, and how I split 5 specialist agents between them on dense AI capacity work.

The post When to Use One Model and When to Use a Team of Agents appeared first on Towards Data Science.

A viral debate over loops versus graphs points to a bigger shift in how we build AI systems. Here’s what graph engineering actually means, how it differs from prompt, context, and loop engineering, and why it matters.

The post Graph Engineering for AI Agents: From Prompts and Loops to Workflows appeared first on Towards Data Science.

Why the skill-inflation panic is aimed at the wrong thing, and what it costs to make agent knowledge a build artifact instead of a file.

The post From Static to Dynamic Skills: A Different Model for Agent Knowledge appeared first on Towards Data Science.

Building a FastAPI endpoint for churn prediction, and everything that broke between "it runs" and "it's live"

The post Your Model Isn't Done Until Someone Else Can Call It appeared first on Towards Data Science.

A practitioner's guide to estimating what an opt-in AI feature actually did, when nobody randomized it.

The post Your AI Adoption Lift Is a Selection Effect appeared first on Towards Data Science.

A real Weave project that regression-tests three OpenAI models against the exact reply format your app depends on.

The post One Capital Letter Was Silently Breaking My AI Support Bot, and It Wasn't in the New Model appeared first on Towards Data Science.

What large operators can teach us about turning alert fatigue into faster, safer service assurance

The post Stop Managing Alarms: An Incident-First Blueprint for Telecom AIOps appeared first on Towards Data Science.

I built a system that automatically discovers, verifies, and applies relevant requirements from earlier interactions without asking the user where they came from.

The post Coding Agents Don't Need Longer History — They Need Intent Continuity appeared first on Towards Data Science.

Why AI coding makes software design more important

The post Software Design in the Age of AI appeared first on Towards Data Science.

Frequentist confidence intervals and Bayesian credible intervals answer different questions, and confusing them can distort product decisions

The post The 95% Illusion: Why Your Confidence Interval Isn't What You Think It Is appeared first on Towards Data Science.

Clarifying the math behind Anthropic’s representation workspace

The post Demystifying Anthropic's J-Space: A Mathematical Primer appeared first on Towards Data Science.

Better understand the intent of your coding agents

The post How to 5x Your Communication Effectiveness with Claude Code appeared first on Towards Data Science.

Why autonomous agents expose a new explainability problem in fraud detection

The post What SHAP Can't Explain About Agentic AI Fraud appeared first on Towards Data Science.

Moving from static model assignment to intelligent, task-level LLM selection.

The post Optimizing LLM Inference Costs in Multi-Agent Systems with Adaptive Model Routing appeared first on Towards Data Science.

A model is only as reliable as the assumptions behind it

The post Who Questions What Works: When Should We Retest Our Assumptions? appeared first on Towards Data Science.

A practical guide to building, testing, and documenting SQL transformations

The post Getting started with dbt appeared first on Towards Data Science.

Understanding permutation symmetry in deep learning, and what it means for weight averaging and model merging

The post The Symmetry That Breaks Neural Network Averaging appeared first on Towards Data Science.

How we split a tightly coupled Python pipeline into independently deployable services

The post When One Process Becomes Too Much: Splitting a Pipeline into MCP Services appeared first on Towards Data Science.

Statistical thinking beyond formulas

The post 10 Statistical Traps We Often Overlook appeared first on Towards Data Science.