Category: Developer Experience

Articles tagged Developer Experience

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Bringing Elastic into Claude: The ‘why,’ the ‘how,’ and the ‘gotchas’
Elasticsearch Labs

Bringing Elastic into Claude: The ‘why,’ the ‘how,’ and the ‘gotchas’

Point your Claude plugin at main and every merge ships as a release, and that’s the least surprising thing that happened between submitting and going live.

Sean Story
One button, three places: How we rebuilt Kibana's page headers with stricter APIs
Elasticsearch Labs

One button, three places: How we rebuilt Kibana's page headers with stricter APIs

We gave Kibana's shared shell typed contracts, which is how design system governance became the default, and why the new page headers have no breadcrumbs.

Anton Dosov
You and your AI agent shouldn't be using curl: Introducing the Elastic CLI and Agent Skills
Elasticsearch Labs

You and your AI agent shouldn't be using curl: Introducing the Elastic CLI and Agent Skills

Elastic CLI reaches every Elasticsearch, Kibana and Cloud API from one command, and it's what Elastic Agent Skills run on. Input is validated against a JSON Schema before anything leaves your machine, and API keys stay in your OS keychain.

Josh Mock
Migrating 1,100 files to Redux Toolkit v2 without freezing the Kibana monorepo
Elasticsearch Labs

Migrating 1,100 files to Redux Toolkit v2 without freezing the Kibana monorepo

Kibana gave Redux Toolkit v2 the default package name and pushed v1 onto an explicit alias, which inverts the usual migration order. Webpack externals, yarn resolutions and an ESLint rule keep React Redux v7 and v9 out of each other's way.

Walter Rafelsberger
Kibana Dashboards API: A stable contract for every panel type, tested by 50+ teams before GA
Elasticsearch Labs

Kibana Dashboards API: A stable contract for every panel type, tested by 50+ teams before GA

Manage Kibana dashboards as code: Commit to Git, promote across environments, and automate deployments with the Kibana API and Terraform.

Teresa Alvarez Soler
One command. Natural language. Your Elasticsearch data, straight to the terminal.
Elasticsearch Labs

One command. Natural language. Your Elasticsearch data, straight to the terminal.

Query your Elasticsearch data from the terminal in plain English. The official Elastic GitHub Copilot CLI plugin generates and runs ES|QL queries against your cluster. No Kibana, no manual syntax.

Greg Crist
Introducing unified API keys for Elastic Cloud Serverless and Elasticsearch
Elasticsearch Labs

Introducing unified API keys for Elastic Cloud Serverless and Elasticsearch

Learn how Elastic unified control plane and data plane authentication in Serverless with a globally distributed IAM architecture. Use one API key for Cloud and Elasticsearch APIs.

Alex Chalkias
How big is too big? Elasticsearch sizing best practices
Elasticsearch Labs

How big is too big? Elasticsearch sizing best practices

There’s no hard size limit in Elasticsearch, but there are clear signals you've outgrown your setup. Learn how to size shards, manage node limits, choose storage by tier, and use AutoOps to catch problems before they happen.

Gustavo Llermaly
Monitoring Kibana dashboard views with Elastic Workflows
Elasticsearch Labs

Monitoring Kibana dashboard views with Elastic Workflows

Learn how to use Elastic Workflows to collect Kibana dashboard view metrics every 30 minutes and index them into Elasticsearch, so you can build custom analytics and visualizations on top of your own data.

Gustavo Llermaly
Dependency management on Kubernetes
Elasticsearch Labs

Dependency management on Kubernetes

How to streamline dependency management on Kubernetes using Renovate CLI and Argo Workflows.

Nikos Fotiou
Cookbook for a production-grade generative AI sandbox
Elasticsearch Labs

Cookbook for a production-grade generative AI sandbox

Exploring the recipe for a generative AI sandbox, giving developers a secure environment to deploy application prototypes while enabling privacy and innovation.

Sean MacKirdy
NeurIPS 2025 highlights: From model merging to deep learning for code
Elasticsearch Labs

NeurIPS 2025 highlights: From model merging to deep learning for code

Explore our NeurIPS 2025 highlights on model merging, task vectors, and VLM dynamics, plus our DL4C workshop presentation on Jina code embeddings.

Scott Martens

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