# Temporal Blog

Read current articles covering Durable Execution, Temporal Cloud, workflow examination, and open-source news. Stay in the know about Temporal Technologies.

This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles.

## AI safety does not stop at the model

DevFeed: [AI safety does not stop at the model](<https://devfeed.tech/articles/ai-safety-does-not-stop-at-the-model-35705.md>)

Original publisher: [Read original article](<https://temporal.io/blog/ai-safety-does-not-stop-at-the-model>)

Author: Samar Abbas

Published: 2026-09-15T00:00:00Z

Content type: opinion

Language: en

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

Topics: [ai safety](<https://devfeed.tech/topics/ai-safety.md>), [Agent Harness](<https://devfeed.tech/topics/agent-harness.md>), [reliability](<https://devfeed.tech/topics/reliability.md>), [retry](<https://devfeed.tech/topics/retry.md>), [Security](<https://devfeed.tech/topics/security.md>)

Tags: [agent](<https://devfeed.tech/tags/agent.md>), [agent-harness](<https://devfeed.tech/tags/agent-harness.md>), [ai](<https://devfeed.tech/tags/ai.md>), [reliability](<https://devfeed.tech/tags/reliability.md>), [retry](<https://devfeed.tech/tags/retry.md>), [safety](<https://devfeed.tech/tags/safety.md>), [security](<https://devfeed.tech/tags/security.md>), [temporal-voices](<https://devfeed.tech/tags/temporal-voices.md>)

### AI overview

The article argues that AI safety extends beyond model behavior to the application layer, where companies must control agent authority and enforce approvals, policies, and credential limits. It emphasizes that these controls must remain reliable through crashes, timeouts, and retries, and presents Temporal Agent Harness as an execution-layer control point around an agent SDK.

### Source excerpt

Auditing what an agent did is only half the job. Companies also have to control what agents may do, and make those limits hold when systems fail.

## Authentication is a long-running Workflow

DevFeed: [Authentication is a long-running Workflow](<https://devfeed.tech/articles/authentication-is-a-long-running-workflow-35725.md>)

Original publisher: [Read original article](<https://temporal.io/blog/authentication-is-a-long-running-workflow>)

Author: Mason Williams

Published: 2026-09-15T00:00:00Z

Content type: tutorial

Language: en

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

Topics: [Authentication](<https://devfeed.tech/topics/authentication.md>), [MFA](<https://devfeed.tech/topics/mfa.md>), [browser](<https://devfeed.tech/topics/browser.md>), [Go Language](<https://devfeed.tech/topics/go-language.md>), [TypeScript](<https://devfeed.tech/topics/typescript.md>), [Deployment](<https://devfeed.tech/topics/deployment.md>), [push-notification](<https://devfeed.tech/topics/push-notification.md>), [sessions](<https://devfeed.tech/topics/sessions.md>), [API](<https://devfeed.tech/topics/api.md>)

Tags: [api](<https://devfeed.tech/tags/api.md>), [authentication](<https://devfeed.tech/tags/authentication.md>), [browser](<https://devfeed.tech/tags/browser.md>), [community](<https://devfeed.tech/tags/community.md>), [deployment](<https://devfeed.tech/tags/deployment.md>), [go](<https://devfeed.tech/tags/go.md>), [mfa](<https://devfeed.tech/tags/mfa.md>), [push-notification](<https://devfeed.tech/tags/push-notification.md>), [sessions](<https://devfeed.tech/tags/sessions.md>), [typescript](<https://devfeed.tech/tags/typescript.md>)

### AI overview

This article explains how KERNEL models Managed Auth as a long-running Temporal workflow. A parent workflow maintains connection state, health checks, reauthentication, and cancellation, while child workflows handle individual login attempts with separate browsers, timeouts, and cleanup. Durable state stays in Go, and model-driven work runs in a dedicated TypeScript Worker.

### Source excerpt

In this article# - A login is not a request - Model the connection, not the attempt - The human is part of the Workflow - Staying logged in is part of the product - Go owns durability; TypeScript runs the agent - What we learned 1. A login is not a request# An agent can enter a password, stop at an MFA prompt, wait for a person to approve a push notification, and then resume in the same browser. A deployment or Worker restart can happen anywhere in between.

## Pay only for what you use: introducing no spend minimums to Temporal Cloud

DevFeed: [Pay only for what you use: introducing no spend minimums to Temporal Cloud](<https://devfeed.tech/articles/pay-only-for-what-you-use-introducing-no-spend-minimums-to-temporal-cloud-35939.md>)

Original publisher: [Read original article](<https://temporal.io/blog/paygo-developer-support>)

Author: Tlo Lorinc

Published: 2026-09-14T00:00:00Z

Content type: release

Language: en

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

Topics: [Cloud](<https://devfeed.tech/topics/cloud.md>), [cloud-infrastructure](<https://devfeed.tech/topics/cloud-infrastructure.md>), [App](<https://devfeed.tech/topics/app.md>)

Tags: [announcements](<https://devfeed.tech/tags/announcements.md>), [billing](<https://devfeed.tech/tags/billing.md>), [cloud](<https://devfeed.tech/tags/cloud.md>), [developer](<https://devfeed.tech/tags/developer.md>), [pricing](<https://devfeed.tech/tags/pricing.md>), [sso](<https://devfeed.tech/tags/sso.md>), [support](<https://devfeed.tech/tags/support.md>)

### AI overview

Temporal introduces a Paygo offering for Temporal Cloud with no base monthly fee, usage-based pricing, Developer Support, and SAML SSO included. The article explains pricing, support terms, storage charges, and migration options for existing self-service customers.

### Source excerpt

Start building on Temporal Cloud with no base monthly fee, usage-based pricing, and Developer Support that scales with your application.

## Temporal raises $550M at a $12.55B valuation as demand grows for reliable AI infrastructure

DevFeed: [Temporal raises $550M at a $12.55B valuation as demand grows for reliable AI infrastructure](<https://devfeed.tech/articles/temporal-raises-550m-at-a-12-55b-valuation-as-demand-grows-for-reliable-ai-infrastructure-36026.md>)

Original publisher: [Read original article](<https://temporal.io/blog/temporal-raises-usd550m-series-e-at-usd12-55b-valuation-ai>)

Author: Allanah Hughes

Published: 2026-09-14T00:00:00Z

Content type: release

Language: en

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

Topics: [AI Infrastructure](<https://devfeed.tech/topics/ai-infrastructure.md>), [reliability](<https://devfeed.tech/topics/reliability.md>), [Orchestration](<https://devfeed.tech/topics/orchestration.md>), [AI Platform](<https://devfeed.tech/topics/ai-platform.md>)

Tags: [agents](<https://devfeed.tech/tags/agents.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-infrastructure](<https://devfeed.tech/tags/ai-infrastructure.md>), [announcements](<https://devfeed.tech/tags/announcements.md>), [funding](<https://devfeed.tech/tags/funding.md>), [infrastructure](<https://devfeed.tech/tags/infrastructure.md>), [orchestration](<https://devfeed.tech/tags/orchestration.md>), [outage](<https://devfeed.tech/tags/outage.md>), [reliability](<https://devfeed.tech/tags/reliability.md>), [series](<https://devfeed.tech/tags/series.md>), [systems](<https://devfeed.tech/tags/systems.md>)

### AI overview

Temporal announces a $550 million Series E funding round at a $12.55 billion valuation. The company says the funding will support reliable infrastructure for long-running AI agents and applications, including orchestration and recovery across systems.

### Source excerpt

AI is raising the bar for reliability. See why Temporal's $550M Series E, backed by Lightspeed and others, is built to meet that demand.

## A letter from Samar: a year of achievements, and what's next for us

DevFeed: [A letter from Samar: a year of achievements, and what's next for us](<https://devfeed.tech/articles/a-letter-from-samar-a-year-of-achievements-and-what-s-next-for-us-36034.md>)

Original publisher: [Read original article](<https://temporal.io/blog/temporal-series-e-letter-from-ceo-samar-abbas>)

Author: Samar Abbas

Published: 2026-09-14T00:00:00Z

Content type: opinion

Language: en

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

Topics: [reliability](<https://devfeed.tech/topics/reliability.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [OpenAI](<https://devfeed.tech/topics/openai.md>)

Tags: [agents](<https://devfeed.tech/tags/agents.md>), [ai-agents](<https://devfeed.tech/tags/ai-agents.md>), [growth](<https://devfeed.tech/tags/growth.md>), [openai](<https://devfeed.tech/tags/openai.md>), [reliability](<https://devfeed.tech/tags/reliability.md>), [temporal](<https://devfeed.tech/tags/temporal.md>), [temporal-voices](<https://devfeed.tech/tags/temporal-voices.md>)

### AI overview

Temporal CEO Samar Abbas reviews a year of company growth, leadership changes, the Series E raise, platform usage, and customer examples. He argues that reliable infrastructure and Durable Execution remain important as AI increases application complexity and expectations.

### Source excerpt

Temporal CEO Samar Abbas on a year of record growth, the Series E raise, and why Durable Execution is now core infrastructure for reliable AI agents.

## Automated Worker Versioning with GitHub Actions

DevFeed: [Automated Worker Versioning with GitHub Actions](<https://devfeed.tech/articles/automated-worker-versioning-with-github-actions-35727.md>)

Original publisher: [Read original article](<https://temporal.io/blog/automated-worker-versioning-with-github-actions>)

Author: Adam Quan

Published: 2026-09-09T00:00:00Z

Content type: tutorial

Language: en

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

Topics: [GitHub Actions](<https://devfeed.tech/topics/github-actions.md>), [CI/CD](<https://devfeed.tech/topics/cicd.md>), [Deployment](<https://devfeed.tech/topics/deployment.md>), [Orchestration](<https://devfeed.tech/topics/orchestration.md>)

Tags: [automation](<https://devfeed.tech/tags/automation.md>), [ci-cd](<https://devfeed.tech/tags/ci-cd.md>), [ci-cd-pipeline](<https://devfeed.tech/tags/ci-cd-pipeline.md>), [deployment](<https://devfeed.tech/tags/deployment.md>), [github-actions](<https://devfeed.tech/tags/github-actions.md>), [how-to](<https://devfeed.tech/tags/how-to.md>), [temporal-voices](<https://devfeed.tech/tags/temporal-voices.md>)

### AI overview

This tutorial explains how to automate Temporal Worker Versioning in a CI/CD pipeline with GitHub Actions and Worker Controller. It covers deterministic Workflow code changes, deployment versions, traffic ramping, pinned and auto-upgrade Workflows, safer rollouts, and rollbacks.

### Source excerpt

Learn how to automate Temporal Worker Versioning in CI/CD with GitHub Actions and Worker Controller for safer rollouts, traffic ramping, and rollbacks.

## From dedicated Workers to Serverless Workers: Migrating Temporal Workflows to AWS Lambda

DevFeed: [From dedicated Workers to Serverless Workers: Migrating Temporal Workflows to AWS Lambda](<https://devfeed.tech/articles/from-dedicated-workers-to-serverless-workers-migrating-temporal-workflows-to-aws-lambda-35918.md>)

Original publisher: [Read original article](<https://temporal.io/blog/migrating-temporal-workflows-to-aws-lambda>)

Author: Garima Gupta

Published: 2026-09-09T00:00:00Z

Content type: tutorial

Language: en

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

Topics: [AWS Lambda](<https://devfeed.tech/topics/aws-lambda.md>), [Serverless](<https://devfeed.tech/topics/serverless.md>), [Amazon Web Services](<https://devfeed.tech/topics/aws.md>), [Deployment](<https://devfeed.tech/topics/deployment.md>), [Testing](<https://devfeed.tech/topics/testing.md>), [SDKs](<https://devfeed.tech/topics/sdks.md>)

Tags: [aws](<https://devfeed.tech/tags/aws.md>), [aws-lambda](<https://devfeed.tech/tags/aws-lambda.md>), [deployment](<https://devfeed.tech/tags/deployment.md>), [go](<https://devfeed.tech/tags/go.md>), [java](<https://devfeed.tech/tags/java.md>), [kubernetes](<https://devfeed.tech/tags/kubernetes.md>), [net](<https://devfeed.tech/tags/net.md>), [python](<https://devfeed.tech/tags/python.md>), [serverless](<https://devfeed.tech/tags/serverless.md>), [temporal](<https://devfeed.tech/tags/temporal.md>), [temporal-voices](<https://devfeed.tech/tags/temporal-voices.md>), [testing](<https://devfeed.tech/tags/testing.md>), [typescript](<https://devfeed.tech/tags/typescript.md>), [versioning](<https://devfeed.tech/tags/versioning.md>)

### AI overview

This guide explains how to migrate Temporal Workers from long-lived processes on Kubernetes to Temporal Cloud Serverless Workers running on AWS Lambda. It focuses on AWS Lambda with Python examples and covers lifecycle changes, invocation scaling, deployment, versioning, and testing.

### Source excerpt

Learn to migrate Temporal Workers from dedicated infrastructure to AWS Lambda with Serverless Workers, with guidance on deployment, versioning, and testing.

## Why Temporal is expanding its partnership with Crystal Palace to include Palace Women

DevFeed: [Why Temporal is expanding its partnership with Crystal Palace to include Palace Women](<https://devfeed.tech/articles/why-temporal-is-expanding-its-partnership-with-crystal-palace-to-include-palace-women-36023.md>)

Original publisher: [Read original article](<https://temporal.io/blog/temporal-partnership-with-crystal-palace-palace-women>)

Author: Clair Byrd

Published: 2026-09-04T00:00:00Z

Content type: opinion

Language: en

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

Topics: [Crystal](<https://devfeed.tech/topics/crystal.md>), [Sports](<https://devfeed.tech/topics/sports.md>), [coding](<https://devfeed.tech/topics/coding.md>)

Tags: [announcements](<https://devfeed.tech/tags/announcements.md>), [crystal](<https://devfeed.tech/tags/crystal.md>), [football](<https://devfeed.tech/tags/football.md>), [partnership](<https://devfeed.tech/tags/partnership.md>), [software](<https://devfeed.tech/tags/software.md>), [sports](<https://devfeed.tech/tags/sports.md>), [tech](<https://devfeed.tech/tags/tech.md>), [uk](<https://devfeed.tech/tags/uk.md>)

### AI overview

Temporal is expanding its Crystal Palace sponsorship to include the women's team, linking broader support for women's football with efforts to improve access and opportunity in technology.

### Source excerpt

Temporal is extending its Crystal Palace partnership to Palace Women, uniting to fight the access gap in football alongside the one in tech.

## The thread is the Workflow: Durable AI agents without changing Agent code

DevFeed: [The thread is the Workflow: Durable AI agents without changing Agent code](<https://devfeed.tech/articles/the-thread-is-the-workflow-durable-ai-agents-without-changing-agent-code-35912.md>)

Original publisher: [Read original article](<https://temporal.io/blog/manetu-the-thread-is-the-workflow>)

Author: Greg Haskins

Published: 2026-09-03T00:00:00Z

Content type: tutorial

Language: en

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

Topics: [AI Agent](<https://devfeed.tech/topics/ai-agent.md>), [Langgraph](<https://devfeed.tech/topics/langgraph.md>), [Code](<https://devfeed.tech/topics/code.md>), [Framework](<https://devfeed.tech/topics/framework.md>)

Tags: [agent](<https://devfeed.tech/tags/agent.md>), [ai-agents](<https://devfeed.tech/tags/ai-agents.md>), [community](<https://devfeed.tech/tags/community.md>), [crashes](<https://devfeed.tech/tags/crashes.md>), [durability](<https://devfeed.tech/tags/durability.md>), [langgraph](<https://devfeed.tech/tags/langgraph.md>), [state](<https://devfeed.tech/tags/state.md>), [workflow](<https://devfeed.tech/tags/workflow.md>)

### AI overview

The article explains how Temporal Workflows add durable execution to LangGraph-based AI agents without requiring changes to the agent code. It describes mapping Agent Protocol Threads to Temporal Workflows, Runs to Activities, and checkpoints to Workflow state so executions can recover after worker crashes.

### Source excerpt

Learn how Temporal Workflows can make LangGraph-based AI agents durable, preserving threads and checkpoints across crashes without changing agent code.

## Orchestrating Playwright test suites with Temporal for independent retries

DevFeed: [Orchestrating Playwright test suites with Temporal for independent retries](<https://devfeed.tech/articles/stop-restarting-your-tests-35993.md>)

Original publisher: [Read original article](<https://temporal.io/blog/stop-restarting-your-tests>)

Author: Simon Emms

Published: 2026-09-03T00:00:00Z

Content type: article

Language: en

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

Topics: [Playwright](<https://devfeed.tech/topics/playwright.md>), [Orchestration](<https://devfeed.tech/topics/orchestration.md>), [ci](<https://devfeed.tech/topics/ci.md>), [test](<https://devfeed.tech/topics/test.md>)

Tags: [browsers](<https://devfeed.tech/tags/browsers.md>), [ci](<https://devfeed.tech/tags/ci.md>), [orchestration](<https://devfeed.tech/tags/orchestration.md>), [playwright](<https://devfeed.tech/tags/playwright.md>), [retry](<https://devfeed.tech/tags/retry.md>), [temporal-voices](<https://devfeed.tech/tags/temporal-voices.md>), [tests](<https://devfeed.tech/tags/tests.md>)

### AI overview

This article explores using Temporal to orchestrate Playwright end-to-end test suites as independent, durable units of work. The approach allows failed tests to retry independently while preserving progress instead of restarting the entire CI job.

### Source excerpt

Learn how Temporal can orchestrate end-to-end test suites so failed tests retry independently, preserving progress without restarting the entire CI job.

## Using coding agents on a migration: Three practices that mattered

DevFeed: [Using coding agents on a migration: Three practices that mattered](<https://devfeed.tech/articles/using-coding-agents-on-a-migration-three-practices-that-mattered-36090.md>)

Original publisher: [Read original article](<https://temporal.io/blog/using-coding-agents-on-a-migration-three-practices-that-mattered>)

Author: Chandler Ortman

Published: 2026-09-02T00:00:00Z

Content type: article

Language: en

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

Topics: [migration](<https://devfeed.tech/topics/migration.md>), [clickhouse](<https://devfeed.tech/topics/clickhouse.md>), [AI-assisted coding](<https://devfeed.tech/topics/ai-assisted-coding.md>), [coding](<https://devfeed.tech/topics/coding.md>), [configuration](<https://devfeed.tech/topics/configuration.md>), [Deployment](<https://devfeed.tech/topics/deployment.md>), [Environment Variables](<https://devfeed.tech/topics/environment-variables.md>)

Tags: [cleanup](<https://devfeed.tech/tags/cleanup.md>), [clickhouse](<https://devfeed.tech/tags/clickhouse.md>), [coding-agents](<https://devfeed.tech/tags/coding-agents.md>), [deployment](<https://devfeed.tech/tags/deployment.md>), [environment-variables](<https://devfeed.tech/tags/environment-variables.md>), [migration](<https://devfeed.tech/tags/migration.md>), [prompt](<https://devfeed.tech/tags/prompt.md>), [pull-requests](<https://devfeed.tech/tags/pull-requests.md>), [temporal-voices](<https://devfeed.tech/tags/temporal-voices.md>)

### AI overview

The article examines coding agents used during a migration of Temporal Cloud usage and billing data to ClickHouse. It finds that the agents were most useful for cleanup and removal work, with durable cleanup instructions and exhaustive searches helping make that work practical.

### Source excerpt

Three lessons from using coding agents during a ClickHouse migration, from cleanup automation to writing durable instructions that stay useful over time.

## How LlamaIndex uses Temporal to scale reliable document orchestration

DevFeed: [How LlamaIndex uses Temporal to scale reliable document orchestration](<https://devfeed.tech/articles/how-llamaindex-uses-temporal-to-scale-reliable-document-orchestration-35908.md>)

Original publisher: [Read original article](<https://temporal.io/blog/llamaindex-uses-temporal-to-scale-reliable-document-orchestration>)

Author: Adrian Lyjak

Published: 2026-09-01T00:00:00Z

Content type: article

Language: en

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

Topics: [llamaindex](<https://devfeed.tech/topics/llamaindex.md>), [Orchestration](<https://devfeed.tech/topics/orchestration.md>), [RabbitMQ](<https://devfeed.tech/topics/rabbitmq.md>), [Concurrency](<https://devfeed.tech/topics/concurrency.md>)

Tags: [api](<https://devfeed.tech/tags/api.md>), [concurrency](<https://devfeed.tech/tags/concurrency.md>), [llamaindex](<https://devfeed.tech/tags/llamaindex.md>), [orchestration](<https://devfeed.tech/tags/orchestration.md>), [rabbitmq](<https://devfeed.tech/tags/rabbitmq.md>), [scale](<https://devfeed.tech/tags/scale.md>), [temporal](<https://devfeed.tech/tags/temporal.md>), [temporal-voices](<https://devfeed.tech/tags/temporal-voices.md>)

### AI overview

This article explains how LlamaIndex moved document-processing workloads from RabbitMQ to Temporal. It describes the complexity of processing documents page by page and reports that Temporal helped the team improve durability and concurrency while processing tens of millions of pages per day for the Batch API.

### Source excerpt

Learn how LlamaIndex moved from RabbitMQ to Temporal to make LlamaParse more durable, improve concurrency, and process tens of millions of pages per day.

## Temporal expands its Google Cloud Partnership with Gemini integration and pay-as-you-go pricing on Google Cloud Marketplace

DevFeed: [Temporal expands its Google Cloud Partnership with Gemini integration and pay-as-you-go pricing on Google Cloud Marketplace](<https://devfeed.tech/articles/temporal-expands-its-google-cloud-partnership-with-gemini-integration-and-pay-as-you-go-pricing-on-google-cloud-marketplace-36013.md>)

Original publisher: [Read original article](<https://temporal.io/blog/temporal-expands-google-cloud-partnership-with-pay-as-you-go-pricing>)

Author: Jay Sivachelvan

Published: 2026-08-31T00:00:00Z

Content type: release

Language: en

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

Topics: [Google Cloud Platform (GCP)](<https://devfeed.tech/topics/google-cloud.md>), [SDKs](<https://devfeed.tech/topics/sdks.md>), [Google](<https://devfeed.tech/topics/google.md>), [reliability](<https://devfeed.tech/topics/reliability.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Cloud Run](<https://devfeed.tech/topics/cloud-run.md>), [Resilience](<https://devfeed.tech/topics/resilience.md>), [API](<https://devfeed.tech/topics/api.md>), [Serverless](<https://devfeed.tech/topics/serverless.md>)

Tags: [agent](<https://devfeed.tech/tags/agent.md>), [agent-development-kit](<https://devfeed.tech/tags/agent-development-kit.md>), [agent-framework](<https://devfeed.tech/tags/agent-framework.md>), [announcements](<https://devfeed.tech/tags/announcements.md>), [api](<https://devfeed.tech/tags/api.md>), [billing](<https://devfeed.tech/tags/billing.md>), [cloud-marketplace](<https://devfeed.tech/tags/cloud-marketplace.md>), [cloud-run](<https://devfeed.tech/tags/cloud-run.md>), [execution](<https://devfeed.tech/tags/execution.md>), [gemini](<https://devfeed.tech/tags/gemini.md>), [google](<https://devfeed.tech/tags/google.md>), [google-cloud](<https://devfeed.tech/tags/google-cloud.md>), [integration](<https://devfeed.tech/tags/integration.md>), [launch](<https://devfeed.tech/tags/launch.md>), [partnership](<https://devfeed.tech/tags/partnership.md>), [pricing](<https://devfeed.tech/tags/pricing.md>)

### AI overview

Temporal announces expanded Google Cloud integrations, including Public Preview support for the Google Gen AI Python SDK, durable execution for Gemini-based workflows, and pre-release Serverless Workers for Google Cloud Run. Temporal Cloud is also available on Google Cloud Marketplace with pay-as-you-go pricing.

### Source excerpt

Temporal expands its Google Cloud partnership with Gemini integration, durable execution, and pay-as-you-go pricing on Google Cloud Marketplace.

## Durable Digest: August highlights

DevFeed: [Durable Digest: August highlights](<https://devfeed.tech/articles/durable-digest-august-highlights-35785.md>)

Original publisher: [Read original article](<https://temporal.io/blog/durable-digest-august-2026>)

Author: Temporal Technologies

Published: 2026-08-27T00:00:00Z

Content type: release

Language: en

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

Topics: [Cloud](<https://devfeed.tech/topics/cloud.md>), [AI Development](<https://devfeed.tech/topics/ai-development.md>), [AWS Lambda](<https://devfeed.tech/topics/aws-lambda.md>), [Workers](<https://devfeed.tech/topics/workers.md>), [autoscaling](<https://devfeed.tech/topics/autoscaling.md>), [Amazon Web Services](<https://devfeed.tech/topics/aws.md>), [AI Agent](<https://devfeed.tech/topics/ai-agent.md>), [AWS IAM](<https://devfeed.tech/topics/aws-iam.md>), [SDKs](<https://devfeed.tech/topics/sdks.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [ai-agent](<https://devfeed.tech/tags/ai-agent.md>), [announcements](<https://devfeed.tech/tags/announcements.md>), [autoscaling](<https://devfeed.tech/tags/autoscaling.md>), [aws](<https://devfeed.tech/tags/aws.md>), [aws-lambda](<https://devfeed.tech/tags/aws-lambda.md>), [cloud](<https://devfeed.tech/tags/cloud.md>), [distributed](<https://devfeed.tech/tags/distributed.md>), [durability](<https://devfeed.tech/tags/durability.md>), [genai](<https://devfeed.tech/tags/genai.md>), [google](<https://devfeed.tech/tags/google.md>), [iam](<https://devfeed.tech/tags/iam.md>), [infrastructure](<https://devfeed.tech/tags/infrastructure.md>), [workers](<https://devfeed.tech/tags/workers.md>)

### AI overview

Temporal's August 2026 Durable Digest highlights new and preview features for running Workers on AWS Lambda, organizing Temporal Cloud resources, invoking Nexus Operations, and building durable AI applications.

### Source excerpt

Highlights this month include new ways to run Workers without managing infrastructure, organize Temporal Cloud resources and build more durable AI applications.

## Practices for Using Coding Agents to Build Stable Temporal Applications

DevFeed: [Practices for Using Coding Agents to Build Stable Temporal Applications](<https://devfeed.tech/articles/everything-in-its-place-making-agents-write-correct-temporal-applications-35911.md>)

Original publisher: [Read original article](<https://temporal.io/blog/making-agents-write-correct-temporal-applications>)

Author: Mason Egger

Published: 2026-08-26T00:00:00Z

Content type: tutorial

Language: en

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

Topics: [agentic-coding](<https://devfeed.tech/topics/agentic-coding.md>), [AI-assisted coding](<https://devfeed.tech/topics/ai-assisted-coding.md>), [Claude Code](<https://devfeed.tech/topics/claude-code.md>), [coding](<https://devfeed.tech/topics/coding.md>), [unit test](<https://devfeed.tech/topics/unit-test.md>)

Tags: [agentic-coding](<https://devfeed.tech/tags/agentic-coding.md>), [ai](<https://devfeed.tech/tags/ai.md>), [claude-code](<https://devfeed.tech/tags/claude-code.md>), [coding](<https://devfeed.tech/tags/coding.md>), [coding-agents](<https://devfeed.tech/tags/coding-agents.md>), [temporal-voices](<https://devfeed.tech/tags/temporal-voices.md>)

### AI overview

The article explains how to use coding agents to build stable, production-ready Temporal applications. It recommends providing the right context, applying guardrails, and aligning with the agent on what to build, while noting that the approach is not limited to Claude Code.

### Source excerpt

The tools and habits I've found that lead to stable, production-ready Temporal applications.

## Temporal Agent Harness: An early look at durable agent infrastructure

DevFeed: [Temporal Agent Harness: An early look at durable agent infrastructure](<https://devfeed.tech/articles/temporal-agent-harness-an-early-look-at-durable-agent-infrastructure-36004.md>)

Original publisher: [Read original article](<https://temporal.io/blog/temporal-agent-harness-durable-agent-infrastructure>)

Author: Cornelia Davis

Published: 2026-08-20T00:00:00Z

Content type: article

Language: en

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

Topics: [Agent Harness](<https://devfeed.tech/topics/agent-harness.md>), [AI Agent](<https://devfeed.tech/topics/ai-agent.md>), [reliability](<https://devfeed.tech/topics/reliability.md>), [interfaces](<https://devfeed.tech/topics/interfaces.md>)

Tags: [agent-harness](<https://devfeed.tech/tags/agent-harness.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-agents](<https://devfeed.tech/tags/ai-agents.md>), [announcements](<https://devfeed.tech/tags/announcements.md>), [execution](<https://devfeed.tech/tags/execution.md>), [interfaces](<https://devfeed.tech/tags/interfaces.md>), [production](<https://devfeed.tech/tags/production.md>), [tool](<https://devfeed.tech/tags/tool.md>)

### AI overview

Temporal presents an early look at Agent Harness, an infrastructure layer for production AI agents. It is designed to add durable execution, tool-call approvals, typed interfaces, enforceable policies, reliable execution, and a durable history of agent activity while allowing teams to keep using existing agent harnesses and tools.

### Source excerpt

Temporal's new Agent Harness brings durable execution, tool-call approvals, and typed interfaces to production AI agents. An early look.

## How Temporal Adds Durability to AWS Agentic AI Workloads

DevFeed: [How Temporal Adds Durability to AWS Agentic AI Workloads](<https://devfeed.tech/articles/better-together-the-durability-layer-for-your-aws-agentic-stack-36061.md>)

Original publisher: [Read original article](<https://temporal.io/blog/the-durability-layer-for-your-aws-agentic-stack>)

Author: Rahman Syed

Published: 2026-08-20T00:00:00Z

Content type: article

Language: en

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

Topics: [Amazon Web Services](<https://devfeed.tech/topics/aws.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Agent Framework](<https://devfeed.tech/topics/agent-framework.md>), [Amazon Bedrock](<https://devfeed.tech/topics/amazon-bedrock.md>), [Strands Agents](<https://devfeed.tech/topics/strands-agents.md>), [AWS Lambda](<https://devfeed.tech/topics/aws-lambda.md>)

Tags: [agent-framework](<https://devfeed.tech/tags/agent-framework.md>), [agentic](<https://devfeed.tech/tags/agentic.md>), [ai](<https://devfeed.tech/tags/ai.md>), [amazon-bedrock](<https://devfeed.tech/tags/amazon-bedrock.md>), [aws](<https://devfeed.tech/tags/aws.md>), [aws-lambda](<https://devfeed.tech/tags/aws-lambda.md>), [cloud](<https://devfeed.tech/tags/cloud.md>), [iam](<https://devfeed.tech/tags/iam.md>), [temporal-voices](<https://devfeed.tech/tags/temporal-voices.md>)

### AI overview

This developer article explains how Temporal adds a durability layer to AWS-based agentic AI systems. It presents a loan-underwriting example and describes using Amazon Bedrock, Strands Agents, and AWS Lambda to build recoverable, scalable workloads.

### Source excerpt

AWS gives developers the best-in-class tools for building agentic AI -- models, an agent framework, and compute to run it all on. As those systems grow more complex with more tools, more agents, and longer-running steps that wait on human-intervention, keeping the whole thing consistent and recoverable becomes its own design challenge. This is the layer Temporal adds.

## Using an AI Agent to Convert STL Meshes into Editable CAD

DevFeed: [Using an AI Agent to Convert STL Meshes into Editable CAD](<https://devfeed.tech/articles/the-cool-new-stuff-trap-36058.md>)

Original publisher: [Read original article](<https://temporal.io/blog/the-cool-new-stuff-trap>)

Author: Shy Ruparel

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

Content type: article

Language: en

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

Topics: [AI Agent](<https://devfeed.tech/topics/ai-agent.md>), [stl](<https://devfeed.tech/topics/stl.md>), [3D](<https://devfeed.tech/topics/3d.md>), [audit trail](<https://devfeed.tech/topics/audit-trail.md>), [retry](<https://devfeed.tech/topics/retry.md>)

Tags: [3d](<https://devfeed.tech/tags/3d.md>), [agent](<https://devfeed.tech/tags/agent.md>), [ai-agent](<https://devfeed.tech/tags/ai-agent.md>), [audit-trail](<https://devfeed.tech/tags/audit-trail.md>), [generate](<https://devfeed.tech/tags/generate.md>), [model](<https://devfeed.tech/tags/model.md>), [retry](<https://devfeed.tech/tags/retry.md>), [stl](<https://devfeed.tech/tags/stl.md>), [temporal-voices](<https://devfeed.tech/tags/temporal-voices.md>)

### AI overview

The article describes using an AI agent to convert triangulated STL meshes into editable CAD and explains why validation mattered more than an autonomous agentic loop. Temporal provided durable execution, retries, progress preservation, and an audit trail, but did not improve the agent's geometric judgment.

### Source excerpt

Shy Ruparel tried an AI agent to turn STL files into editable CAD. What worked was less glamorous: generate candidates, measure them, and validate.

## How MongoDB Atlas and Temporal support reliable production RAG and AI agents

DevFeed: [How MongoDB Atlas and Temporal support reliable production RAG and AI agents](<https://devfeed.tech/articles/durable-rag-and-agents-mongodb-and-temporal-doing-it-better-together-35920.md>)

Original publisher: [Read original article](<https://temporal.io/blog/mongodb-temporal-partnership-rag-agents>)

Author: Suresh Ramappa

Published: 2026-08-13T00:00:00Z

Content type: opinion

Language: en

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

Topics: [MongoDB](<https://devfeed.tech/topics/mongodb.md>), [Retrieval Augmented Generation (RAG)](<https://devfeed.tech/topics/retrieval-augmented-generation-rag.md>), [AI Infrastructure](<https://devfeed.tech/topics/ai-infrastructure.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [reliability](<https://devfeed.tech/topics/reliability.md>)

Tags: [agentic](<https://devfeed.tech/tags/agentic.md>), [agents](<https://devfeed.tech/tags/agents.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-infrastructure](<https://devfeed.tech/tags/ai-infrastructure.md>), [api](<https://devfeed.tech/tags/api.md>), [data](<https://devfeed.tech/tags/data.md>), [embeddings](<https://devfeed.tech/tags/embeddings.md>), [long-running](<https://devfeed.tech/tags/long-running.md>), [mongodb](<https://devfeed.tech/tags/mongodb.md>), [outages](<https://devfeed.tech/tags/outages.md>), [pipelines](<https://devfeed.tech/tags/pipelines.md>), [production](<https://devfeed.tech/tags/production.md>), [rag](<https://devfeed.tech/tags/rag.md>), [recovery](<https://devfeed.tech/tags/recovery.md>), [reliability](<https://devfeed.tech/tags/reliability.md>), [retries](<https://devfeed.tech/tags/retries.md>), [retrieval](<https://devfeed.tech/tags/retrieval.md>), [temporal-voices](<https://devfeed.tech/tags/temporal-voices.md>)

### AI overview

The article argues that MongoDB Atlas and Temporal address different reliability needs in production RAG and AI agent systems. Atlas provides operational data, embeddings, vector search, and agent memory in one platform, while Temporal provides durable execution for crash recovery, retries, and long-running ingestion and agent workflows.

### Source excerpt

Why MongoDB Atlas and Temporal are better together for AI: one data platform, one durable execution layer, for RAG and agents in prod.

## Chaining Activities -- from text to vectors

DevFeed: [Chaining Activities -- from text to vectors](<https://devfeed.tech/articles/chaining-activities-from-text-to-vectors-35756.md>)

Original publisher: [Read original article](<https://temporal.io/blog/chaining-activities-from-text-to-vectors>)

Author: Houman Kargaran

Published: 2026-08-12T00:00:00Z

Content type: tutorial

Language: en

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

Topics: [data](<https://devfeed.tech/topics/data.md>), [Embeddings](<https://devfeed.tech/topics/embeddings.md>), [on-prem](<https://devfeed.tech/topics/on-prem.md>), [pii](<https://devfeed.tech/topics/pii.md>), [Redis](<https://devfeed.tech/topics/redis.md>), [retry](<https://devfeed.tech/topics/retry.md>), [Sequences](<https://devfeed.tech/topics/sequences.md>)

Tags: [article](<https://devfeed.tech/tags/article.md>), [community](<https://devfeed.tech/tags/community.md>), [data-pipeline](<https://devfeed.tech/tags/data-pipeline.md>), [embeddings](<https://devfeed.tech/tags/embeddings.md>), [on-prem](<https://devfeed.tech/tags/on-prem.md>), [pii](<https://devfeed.tech/tags/pii.md>), [redis](<https://devfeed.tech/tags/redis.md>), [retries](<https://devfeed.tech/tags/retries.md>), [storage](<https://devfeed.tech/tags/storage.md>)

### AI overview

This guest post explains a Temporal workflow that chains discrete Activities to process complaints while maintaining a PII boundary. It uses an on-premises all-MiniLM-L6-v2 model for embeddings, caches vectors in Redis, stores them externally, and relies on deterministic workflow sequencing and retry policies.

### Source excerpt

Learn how to build a durable, PII-conscious data pipeline with Temporal using on-prem embeddings, idempotent Activities, external vector storage, and retries.

## Label your agent steps

DevFeed: [Label your agent steps](<https://devfeed.tech/articles/label-your-agent-steps-35902.md>)

Original publisher: [Read original article](<https://temporal.io/blog/label-your-agent-steps>)

Author: Lanie Hei

Published: 2026-08-12T00:00:00Z

Content type: tutorial

Language: en

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

Topics: [observability](<https://devfeed.tech/topics/observability.md>), [Tooling](<https://devfeed.tech/topics/tooling.md>), [Large Language Model](<https://devfeed.tech/topics/llm.md>), [Code](<https://devfeed.tech/topics/code.md>)

Tags: [agent](<https://devfeed.tech/tags/agent.md>), [debugging](<https://devfeed.tech/tags/debugging.md>), [how-to](<https://devfeed.tech/tags/how-to.md>), [llm](<https://devfeed.tech/tags/llm.md>), [observability](<https://devfeed.tech/tags/observability.md>), [temporal-voices](<https://devfeed.tech/tags/temporal-voices.md>), [workflows](<https://devfeed.tech/tags/workflows.md>)

### AI overview

This tutorial explains how to use Temporal's Activity and Workflow summary fields to label agent steps, making complex executions easier to scan, debug, and understand in the Temporal UI. It demonstrates the approach with a coding-agent loop involving planning, editing, testing, evaluation, CI, and recovery.

### Source excerpt

Learn how to label Activities, Workflows, and Timers in Temporal to make agent execution easier to scan, debug, and understand in the Temporal UI.

## When the human is the Workflow: Durable Execution in harsh physical field operations

DevFeed: [When the human is the Workflow: Durable Execution in harsh physical field operations](<https://devfeed.tech/articles/when-the-human-is-the-workflow-durable-execution-in-harsh-physical-field-operations-35818.md>)

Original publisher: [Read original article](<https://temporal.io/blog/durable-execution-in-harsh-physical-field-operations>)

Author: Saman Batool

Published: 2026-08-11T00:00:00Z

Content type: article

Language: en

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

Topics: [implementation](<https://devfeed.tech/topics/implementation.md>), [Architecture & Design](<https://devfeed.tech/topics/architecture-design.md>), [Orchestration](<https://devfeed.tech/topics/orchestration.md>), [Process](<https://devfeed.tech/topics/process.md>), [Encryption](<https://devfeed.tech/topics/encryption.md>)

Tags: [community](<https://devfeed.tech/tags/community.md>), [compliance](<https://devfeed.tech/tags/compliance.md>), [distributed](<https://devfeed.tech/tags/distributed.md>), [encryption](<https://devfeed.tech/tags/encryption.md>), [idempotency](<https://devfeed.tech/tags/idempotency.md>), [implementation](<https://devfeed.tech/tags/implementation.md>), [infrastructure](<https://devfeed.tech/tags/infrastructure.md>), [microservices](<https://devfeed.tech/tags/microservices.md>), [network](<https://devfeed.tech/tags/network.md>), [offline-first](<https://devfeed.tech/tags/offline-first.md>), [orchestration](<https://devfeed.tech/tags/orchestration.md>), [real-world](<https://devfeed.tech/tags/real-world.md>), [retries](<https://devfeed.tech/tags/retries.md>)

### AI overview

A case study describes how Xgrid and a construction company rebuilt crew clock-ins, daily reporting, and document signing on Temporal. It presents a single durable Workflow per shift as the source of truth for unreliable, offline-first field operations, with patterns for idempotency, compliance, retries, encryption, and scalable execution.

### Source excerpt

This blog from Xgrid, a Certified Temporal Cloud Partner, explores how field operations in construction, infrastructure, and facilities management can be modeled as a Durable Execution problem rather than a collection of fragile services. Drawing from a real-world implementation, it shows how crew clock-ins, daily reporting, and document signing were rebuilt on Temporal using a single Workflow per shift as the durable source of truth.

## Running out of runway: Migrating Temporal Cloud's billing store to ClickHouse

DevFeed: [Running out of runway: Migrating Temporal Cloud's billing store to ClickHouse](<https://devfeed.tech/articles/running-out-of-runway-migrating-temporal-cloud-s-billing-store-to-clickhouse-35917.md>)

Original publisher: [Read original article](<https://temporal.io/blog/migrating-temporal-clouds-billing-store-to-clickhouse>)

Author: Paul Oh

Published: 2026-08-11T00:00:00Z

Content type: article

Language: en

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

Topics: [clickhouse](<https://devfeed.tech/topics/clickhouse.md>), [Cloud](<https://devfeed.tech/topics/cloud.md>), [data](<https://devfeed.tech/topics/data.md>), [Databases](<https://devfeed.tech/topics/databases.md>)

Tags: [clickhouse](<https://devfeed.tech/tags/clickhouse.md>), [cloud](<https://devfeed.tech/tags/cloud.md>), [control-plane](<https://devfeed.tech/tags/control-plane.md>), [cost](<https://devfeed.tech/tags/cost.md>), [data](<https://devfeed.tech/tags/data.md>), [database](<https://devfeed.tech/tags/database.md>), [databases](<https://devfeed.tech/tags/databases.md>), [parallel](<https://devfeed.tech/tags/parallel.md>), [results](<https://devfeed.tech/tags/results.md>), [table](<https://devfeed.tech/tags/table.md>), [temporal-voices](<https://devfeed.tech/tags/temporal-voices.md>)

### AI overview

Temporal Cloud migrated its billing store to ClickHouse after its previous warehouse had limited capacity. The migration provided three to five years of projected headroom, reduced steady-state costs by about 70%, and delivered usage data to customers roughly 30 minutes sooner. Temporal validated billing accuracy by running both databases in parallel for six weeks.

### Source excerpt

How Temporal Cloud migrated its billing store to ClickHouse, gaining years of headroom, cutting steady-state costs by about 70%, and improving data freshness.

## Durable, flexible multi-agent systems

DevFeed: [Durable, flexible multi-agent systems](<https://devfeed.tech/articles/durable-flexible-multi-agent-systems-35820.md>)

Original publisher: [Read original article](<https://temporal.io/blog/durable-flexible-multi-agent-systems>)

Author: Melanie Warrick

Published: 2026-08-06T00:00:00Z

Content type: tutorial

Language: en

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

Topics: [Multi Agent Systems](<https://devfeed.tech/topics/multi-agent-systems.md>), [Orchestration](<https://devfeed.tech/topics/orchestration.md>), [systems](<https://devfeed.tech/topics/systems.md>), [Langgraph](<https://devfeed.tech/topics/langgraph.md>), [Persistence](<https://devfeed.tech/topics/persistence.md>), [Google](<https://devfeed.tech/topics/google.md>)

Tags: [agents](<https://devfeed.tech/tags/agents.md>), [distributed-system](<https://devfeed.tech/tags/distributed-system.md>), [google-adk](<https://devfeed.tech/tags/google-adk.md>), [langgraph](<https://devfeed.tech/tags/langgraph.md>), [multi-agent](<https://devfeed.tech/tags/multi-agent.md>), [orchestration](<https://devfeed.tech/tags/orchestration.md>), [persistence](<https://devfeed.tech/tags/persistence.md>), [temporal-voices](<https://devfeed.tech/tags/temporal-voices.md>)

### AI overview

This article describes a multi-agent delivery fleet built with Google ADK and LangGraph, using Temporal for orchestration, persistence, retries, and resumability. It explains how to keep human oversight durable when agents or workers disconnect or when workflows wait for human responses.

### Source excerpt

Running a multi-agent delivery fleet on Google ADK and LangGraph, and what it takes to make the human in the loop durable.

[Next page](<https://devfeed.tech/sources/temporal-blog.md?cursor=WyIyMDI2LTA4LTA2VDAwOjAwOjAwKzAwOjAwIiwgImIyOTgyNDJlLTZkNDctNDEyOC04NTJiLWI1YjRjZGVlMzM4OSJd>)