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Keboola team boosts dev productivity with AI tools, not just models

By PulseAugur Editorial · [1 sources] ·

A software development team at Keboola has significantly increased its productivity by building tools and processes around existing AI models like Claude and Gemini, rather than relying solely on the models themselves. The team implemented a unified CLI tool for various tasks, developed specialized skills for repetitive work such as endpoint migration, and created an automated system for handling pull request reviews and CI failures. These enhancements have led to a substantial rise in pull requests per person per month and a reduction in manual oversight for code changes. AI

IMPACT Demonstrates how custom tooling and agentic workflows around existing LLMs can dramatically boost developer productivity.

RANK_REASON The item describes the development and implementation of tools and processes around existing AI models to improve software development workflows, rather than a new AI model release or core research.

Read on dev.to — Claude Code tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Keboola team boosts dev productivity with AI tools, not just models

How we ranked this

Signal score
35 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
The item describes the development and implementation of tools and processes around existing AI models to improve software development workflows, rather than a new AI model release or core research.
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
product, infra
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
Breaking (< 6h)
Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

Full methodology in our editorial standards.

COVERAGE [1]

  1. dev.to — Claude Code tag TIER_1 English(EN) · Vojta Biberle ·

    Everyone has better models. Why do some teams fly while others don't?

    <p>Models got dramatically better over the past year. But they got better for everyone. In that time, our team went from 5.3 to 13.7 PRs per person per month, and I personally went from 4.8 to 51.3. Did you improve that much too? If not, here are a few things that work for us and…

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