# Iris

Iris is a Go web framework for building web applications, including HTTP/2 support.

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## ReAct agents explained: concepts & practical uses

DevFeed: [ReAct agents explained: concepts & practical uses](<https://devfeed.tech/articles/react-agents-explained-concepts-practical-uses-4842.md>)

Original publisher: [Read original article](<https://redis.io/blog/react-agents-explained-concepts-practical-uses/>)

Author: Jeff Mills

Published: 2026-08-18T00:00:00Z

Content type: article

Language: en

Sources: [Redis Blog](<https://devfeed.tech/sources/redis-blog.md>)

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [ai-coding](<https://devfeed.tech/topics/ai-coding.md>), [LangChain](<https://devfeed.tech/topics/langchain.md>), [Iris](<https://devfeed.tech/topics/iris.md>), [Chain-of-thought](<https://devfeed.tech/topics/chain-of-thought.md>), [coding](<https://devfeed.tech/topics/coding.md>), [Error Propagation](<https://devfeed.tech/topics/error-propagation.md>)

Tags: [agent](<https://devfeed.tech/tags/agent.md>), [agents](<https://devfeed.tech/tags/agents.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-coding](<https://devfeed.tech/tags/ai-coding.md>), [coding](<https://devfeed.tech/tags/coding.md>), [langchain](<https://devfeed.tech/tags/langchain.md>), [reasoning](<https://devfeed.tech/tags/reasoning.md>), [tech-de](<https://devfeed.tech/tags/tech-de.md>), [tool](<https://devfeed.tech/tags/tool.md>)

### AI overview

A practical guide to ReAct agents: AI systems that alternate between reasoning, tool use, and feedback in a loop. It explains the pattern, compares it with chain-of-thought approaches, and discusses production concerns such as latency, cost, hallucination, and error propagation, with examples involving LangChain, LangGraph, and Redis Iris.

### Source excerpt

If you've watched an AI coding assistant hunt down a bug, run a test, read the failure, and adapt its next fix, you've watched Reasoning and Acting (ReAct)-like behavior at work. ReAct is a common pattern in production agent systems today. It's simple...

## What's new in two: June 2026 edition

DevFeed: [What's new in two: June 2026 edition](<https://devfeed.tech/articles/what-s-new-in-two-june-2026-edition-4862.md>)

Original publisher: [Read original article](<https://redis.io/blog/whats-new-in-two-june-2026-edition/>)

Author: Talon Miller

Published: 2026-07-06T00:00:00Z

Content type: release

Language: en

Sources: [Redis Blog](<https://devfeed.tech/sources/redis-blog.md>)

Topics: [Redis](<https://devfeed.tech/topics/redis.md>), [releases](<https://devfeed.tech/topics/releases.md>), [Amazon Web Services](<https://devfeed.tech/topics/aws.md>), [Iris](<https://devfeed.tech/topics/iris.md>), [MongoDB](<https://devfeed.tech/topics/mongodb.md>), [real-time](<https://devfeed.tech/topics/real-time.md>), [REST API](<https://devfeed.tech/topics/rest-api.md>), [Latency](<https://devfeed.tech/topics/latency.md>), [personalization](<https://devfeed.tech/topics/personalization.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>)

Tags: [2026](<https://devfeed.tech/tags/2026.md>), [ai-agents](<https://devfeed.tech/tags/ai-agents.md>), [api](<https://devfeed.tech/tags/api.md>), [aws](<https://devfeed.tech/tags/aws.md>), [cloud](<https://devfeed.tech/tags/cloud.md>), [data](<https://devfeed.tech/tags/data.md>), [latency](<https://devfeed.tech/tags/latency.md>), [mongodb](<https://devfeed.tech/tags/mongodb.md>), [performance](<https://devfeed.tech/tags/performance.md>), [personalization](<https://devfeed.tech/tags/personalization.md>), [redis](<https://devfeed.tech/tags/redis.md>), [releases](<https://devfeed.tech/tags/releases.md>), [rest-api](<https://devfeed.tech/tags/rest-api.md>), [tech](<https://devfeed.tech/tags/tech.md>), [updates](<https://devfeed.tech/tags/updates.md>)

### AI overview

Redis's June 2026 release roundup highlights the general availability of Redis Data Integration in Redis Cloud on AWS. RDI continuously syncs operational data into Redis for applications, services, and AI workloads, with improved provisioning, visibility, error reporting, synchronization performance, source configuration, and Redis Cloud REST API management. The update adds MongoDB support and preview support for Snowflake, enabling application acceleration, real-time decisioning, personalization, recommendations, fraud detection, and AI-driven workflows. The article also begins describing a Flex update focused on infrastructure cost and performance.

### Source excerpt

Welcome back to "What's new in two," your quick hit of Redis releases you might've missed over the last month. Summer might be here, but product releases apparently don't take vacations. We're covering the biggest updates from June and expanding on wh...

## Comparing the best open source vector databases

DevFeed: [Comparing the best open source vector databases](<https://devfeed.tech/articles/comparing-the-best-open-source-vector-databases-4768.md>)

Original publisher: [Read original article](<https://redis.io/blog/best-open-source-vector-databases-comparison/>)

Author: James Tessier

Published: 2026-07-01T00:00:00Z

Content type: comparison

Language: en

Sources: [Redis Blog](<https://devfeed.tech/sources/redis-blog.md>)

Topics: [Redis](<https://devfeed.tech/topics/redis.md>), [Embeddings](<https://devfeed.tech/topics/embeddings.md>), [Cache](<https://devfeed.tech/topics/cache.md>), [elasticsearch](<https://devfeed.tech/topics/elasticsearch.md>), [AI search](<https://devfeed.tech/topics/ai-search.md>), [real-time](<https://devfeed.tech/topics/real-time.md>), [Iris](<https://devfeed.tech/topics/iris.md>), [Deployment](<https://devfeed.tech/topics/deployment.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Cloud](<https://devfeed.tech/topics/cloud.md>), [Kubernetes](<https://devfeed.tech/topics/kubernetes.md>)

Tags: [agent](<https://devfeed.tech/tags/agent.md>), [ai](<https://devfeed.tech/tags/ai.md>), [caching](<https://devfeed.tech/tags/caching.md>), [comparison](<https://devfeed.tech/tags/comparison.md>), [data](<https://devfeed.tech/tags/data.md>), [deployment](<https://devfeed.tech/tags/deployment.md>), [embeddings](<https://devfeed.tech/tags/embeddings.md>), [generation](<https://devfeed.tech/tags/generation.md>), [infrastructure](<https://devfeed.tech/tags/infrastructure.md>), [kubernetes](<https://devfeed.tech/tags/kubernetes.md>), [latency](<https://devfeed.tech/tags/latency.md>), [models](<https://devfeed.tech/tags/models.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [operations](<https://devfeed.tech/tags/operations.md>), [rag](<https://devfeed.tech/tags/rag.md>), [retrieval](<https://devfeed.tech/tags/retrieval.md>), [search](<https://devfeed.tech/tags/search.md>), [systems](<https://devfeed.tech/tags/systems.md>), [tech-de](<https://devfeed.tech/tags/tech-de.md>), [tools](<https://devfeed.tech/tags/tools.md>), [vector](<https://devfeed.tech/tags/vector.md>)

### AI overview

A comparison of open source vector databases for production AI workloads, focusing on the tradeoffs between specialized vector tools and unified platforms. It highlights Redis as a real-time, memory-first platform combining vector search, operational data, caching, session state, and application state.

### Source excerpt

Open source vector databases come in two flavors: specialized tools that handle vectors and nothing else, or unified platforms that combine vector search with operational data and caching. Many teams end up managing three systems: a vector database, a...

## Atoms is Out, a Multi-Agent AI Team that Builds Full-Stack Apps for You

DevFeed: [Atoms is Out, a Multi-Agent AI Team that Builds Full-Stack Apps for You](<https://devfeed.tech/articles/atoms-is-out-a-multi-agent-ai-team-that-builds-full-stack-apps-for-you-4989.md>)

Original publisher: [Read original article](<https://neon.com/blog/atoms-is-out-a-multi-agent-ai-team-that-builds-full-stack-apps-for-you>)

Author: Carlota Soto

Published: 2026-01-13T17:48:26Z

Content type: article

Language: en

Sources: [Blog -- Neon Docs](<https://devfeed.tech/sources/blog-neon-docs.md>)

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [App](<https://devfeed.tech/topics/app.md>), [Multitenancy](<https://devfeed.tech/topics/multitenancy.md>), [Per-user Database](<https://devfeed.tech/topics/per-user-database.md>), [Databases](<https://devfeed.tech/topics/databases.md>), [Back end](<https://devfeed.tech/topics/backend.md>), [Front end](<https://devfeed.tech/topics/frontend.md>), [Automation](<https://devfeed.tech/topics/automation.md>), [Deployment](<https://devfeed.tech/topics/deployment.md>), [Software as a service](<https://devfeed.tech/topics/saas.md>), [Iris](<https://devfeed.tech/topics/iris.md>), [AI research agents](<https://devfeed.tech/topics/ai-research-agents.md>)

Tags: [agent](<https://devfeed.tech/tags/agent.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-agents](<https://devfeed.tech/tags/ai-agents.md>), [apps](<https://devfeed.tech/tags/apps.md>), [architecture](<https://devfeed.tech/tags/architecture.md>), [automation](<https://devfeed.tech/tags/automation.md>), [backend](<https://devfeed.tech/tags/backend.md>), [case-studies](<https://devfeed.tech/tags/case-studies.md>), [code](<https://devfeed.tech/tags/code.md>), [data](<https://devfeed.tech/tags/data.md>), [database](<https://devfeed.tech/tags/database.md>), [deployment](<https://devfeed.tech/tags/deployment.md>), [infrastructure](<https://devfeed.tech/tags/infrastructure.md>), [product](<https://devfeed.tech/tags/product.md>), [product-development](<https://devfeed.tech/tags/product-development.md>), [saas](<https://devfeed.tech/tags/saas.md>), [scale](<https://devfeed.tech/tags/scale.md>), [software](<https://devfeed.tech/tags/software.md>)

### AI overview

Atoms is a multi-agent AI platform that builds full-stack software products from a user prompt. Specialized agents handle research, product requirements, architecture, engineering, data analysis, testing, and deployment. Its multi-tenant architecture gives each user app a dedicated Postgres database provisioned dynamically through Neon.

### Source excerpt

"We chose Neon as our backend because of scale, cost-efficiency, and superior developer and user experience, all critical for Atoms' multi-tenant architecture. Each user app needs its own dedicated database, and Neon lets us spin up Postgres instances dynamically while only payin...