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  • Where the Agent Development Lifecycle Fits

    Coordinating agent capability development with the application it powers The post Where the Agent Development Lifecycle Fits appeared first on Towards Data Science.

    Towards Data Science10 min read

  • How to Build a Control Plane for AI Agents

    Giving an LLM permission to act, in 9 steps The post How to Build a Control Plane for AI Agents appeared first on Towards Data Science.

    Towards Data Science14 min read

  • Can an Apartment Search Agent Call the Model Fewer Times and Still Find Good Matches?

    I traced 2,500 listing checks with Weights & Biases Weave, removed avoidable model work one change at a time, and scored every version against the same answers. The post Can an Apartment Search Agent Call the Model Fewer Times and Still Find Good Matches? appeared first on Towards Data Science.

    Towards Data Science29 min read

  • Insight Is Still the Currency of Data Science

    Coding agents give us more time for discovery and our review practices should follow the analysis The post Insight Is Still the Currency of Data Science appeared first on Towards Data Science.

    Towards Data Science11 min read

  • Towards Spec-Driven Test Automation: Part 2

    One run, and what it actually proves The post Towards Spec-Driven Test Automation: Part 2 appeared first on Towards Data Science.

    Towards Data Science14 min read

  • AI Made Data Scientists Faster. Now It’s Expanding the Job.

    The real shift is bigger than productivity: AI is reshaping ownership, judgment, and the career path of data scientists. The post AI Made Data Scientists Faster. Now It’s Expanding the Job. appeared first on Towards Data Science.

    Towards Data Science11 min read

  • How to Catch Data Drift When Every Feature Looks Normal

    Detect hidden shifts in feature relationships with adversarial validation and scikit-learn The post How to Catch Data Drift When Every Feature Looks Normal appeared first on Towards Data Science.

    Towards Data Science13 min read

  • Good Architecture Deletes the Signals Your Agent Depends On

    Every boundary you draw removes a signal your tooling was relying on. That is a structure problem, not a search problem. The post Good Architecture Deletes the Signals Your Agent Depends On appeared first on Towards Data Science.

    Towards Data Science14 min read

  • RAG Isn't an Agent — I Built the Layer Between Retrieval and Action

    RAG retrieves. Agents act. I built both separately, connected them explicitly, and ran the same nine tasks through all three systems. The post RAG Isn't an Agent — I Built the Layer Between Retrieval and Action appeared first on Towards Data Science.

    Towards Data Science21 min read

  • Jev vs. LLMs: When AI Moves from Generation to Decision-Making

    I tested TypeSafe AI’s Jev on 3,080 classification tasks to see how its accuracy, latency, calibration, and confidence compare with LLMs — and whether it works as a practical decision layer for AI systems. The post Jev vs.

    Towards Data Science25 min read

  • How to Maximize Your Coding Agent Subscriptions

    Get more out of your coding agent subscriptions The post How to Maximize Your Coding Agent Subscriptions appeared first on Towards Data Science.

    Towards Data Science9 min read

  • Beyond RAGs: Building Actually Truthful AI Harnesses

    Retrieval is not evidence. How to build AI that proves its own claims. The post Beyond RAGs: Building Actually Truthful AI Harnesses appeared first on Towards Data Science.

    Towards Data Science12 min read

  • Towards Spec-Driven Test Automation: Part 1

    Why a green test suite can mean nothing The post Towards Spec-Driven Test Automation: Part 1 appeared first on Towards Data Science.

    Towards Data Science14 min read

Showing 34 of 34 stories

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