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The latest News and Information on Continuous Integration and Development, and related technologies.

AI-powered email automation with CI/CD pipelines

Email automation allows you to send emails automatically based on certain triggers or schedules, so you don’t have to click the Send button every time. This includes things like welcome messages, drip campaigns, and regular newsletters. In this tutorial, you will create a simple system that automatically welcomes new subscribers and sends them updates about technology, all with the help of AI.

Deploying a multimodal RAG application with Gemma 3 and CircleCI on GKE

Retrieval-Augmented Generation (RAG) has transformed how applications interact with Large Language Models (LLMs). RAGs ground LLM responses in external knowledge, improves accuracy, and reduces hallucinations. But traditional RAG systems have a significant limitation: they only process text. Multimodal RAG addresses this limitation by processing and understanding multiple data types (text, images, and potentially audio).

Building community-first brands ft. Edreece Arghandiwal, CMO & Co-Founder of Oakland Roots SC

In this special episode of The Confident Commit, Rob Zuber sits down with Edreece Arghandiwal, CMO and Co-Founder of Oakland Roots Soccer Club, for an inspiring conversation about building purpose-driven organizations from the ground up. Edreece shares how the Roots challenged traditional sports business models by putting community first, turning a simple question—"Why isn't there professional soccer in Oakland?"—into a movement that raised $3.5 million from 6,000+ community investors with zero paid advertising.

Harness GitOps: Scaling Argo CD with Enterprise-Grade Control

Harness GitOps extends Argo CD by preserving its reconciliation loop while adding governance, audit, and RBAC through the GitOps Agent’s secure connection to Harness SaaS. Teams can choose Harness-managed or bring-your-own Argo CD and scale to multi-cluster fleets with unified dashboards, promotion pipelines, and true rollback, while Git stays the single source of truth.

Build an automated ETL pipeline for cryptocurrency data with CircleCI

To stay ahead in the crypto world, you need latest information about cryptocurrencies. With so many coins out there and prices changing all the time, knowing which ones are doing the best gives you a quick snapshot of what’s hot right now. Whether you’re investing, just curious, or trying to understand the market better, this information makes it easier to spot trends and make smarter decisions.

Deployment of AWS Step Functions with Lambda and CircleCI

In this guide, you will build and deploy a serverless data processing workflow using AWS Step Functions and AWS Lambda. This approach enables you to orchestrate discrete processing tasks in a scalable and cost-efficient way, leveraging the event-driven architecture that AWS offers. You will begin by creating individual Lambda functions that handle specific tasks in your data pipeline.

Audit log streaming for real-time security visibility in your CI/CD pipeline

Security and compliance teams face a critical challenge: by the time they discover suspicious activity in their development pipeline, it’s often too late to prevent damage. Manual audit log requests create bottlenecks that delay incident response, and gaps in visibility leave organizations vulnerable to insider threats and compliance violations. If your team struggles with any of these issues, you need a systematic approach to real-time audit monitoring.

Visualize Jenkins CI/CD Pipelines: Introducing the New Jenkins Data Source Plugin in Grafana 12.2

Grafana 12.2 introduces the new Jenkins data source plugin, giving you real-time insights into your Jenkins CI/CD pipelines. With easy setup, you can connect your Jenkins instance and explore two built-in dashboards: See how Jenkins data becomes instantly actionable inside Grafana.

Build a versatile query agent with RAG, LlamaIndex, and Google Gemini

As a developer, you often face the challenge of retrieving information from multiple sources with different structures. What if you could create a single interface that automatically routes queries to the right data source? Imagine your application needing to answer both “What’s the population of California?” and “What are popular attractions in Hawaii?”.

Introducing Chunk: The agent that validates code at AI speed

The software development landscape has fundamentally shifted. Teams are shipping more value faster than ever, leveraging AI to generate code at unprecedented speed. But with this velocity comes equally dramatic complexity — small teams now face challenges that once belonged only to large organizations, while large organizations grapple with codebases that strain human comprehension. This complexity isn’t a bug — it’s a productivity opportunity to embrace.