# execution Published articles for execution. 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 agent approval workflows: handling edits and retries DevFeed: [AI agent approval workflows: handling edits and retries]() Original publisher: [Read original article]() Author: WorkOS Published: 2026-09-15T15:02:39Z Content type: tutorial Language: en Sources: [WorkOS Blog]() Topics: [AI Agent](), [Authorization](), [Tool]() Tags: [agent](), [authorization](), [execution](), [how-to](), [retry](), [review](), [server](), [tool](), [workflows]() ### AI overview This guide explains how to add human approval to AI agent tool calls with WorkOS Airlock. It covers binding approval to an exact request, persisting the proposed action, resuming execution after approval, and recovering when a provider response is uncertain. ### Source excerpt Add human approval to AI agent tool calls. Learn how to review exact requests, resume execution, and handle edits and retries with Airlock. ## Mintlify rebuilds automations around pre-built templates for common use cases DevFeed: [Mintlify rebuilds automations around pre-built templates for common use cases]() Original publisher: [Read original article]() Author: Patrick Foster Published: 2026-09-15T00:00:00Z Content type: article Language: en Sources: [Mintlify Blog]() Topics: [Automation](), [Documentation](), [changelog](), [Pull Request](), [Markdown](), [YAML]() Tags: [announcements](), [automation](), [changelog](), [docs](), [documentation](), [execution](), [markdown](), [prompt](), [quality](), [rest]() ### AI overview Mintlify rebuilt its automations around pre-built templates for common use cases, including syncing content with code changes, generating changelogs, and improving documentation from user feedback and support signals. Custom prompts remain available for specialized tasks. ### Source excerpt We redesigned automations for quicker setup with pre-built automations optimized for common use cases. Choose the right automations for your project and you're set. No context engineering required. ## What a Technical Program Manager actually does DevFeed: [What a Technical Program Manager actually does]() Original publisher: [Read original article]() Author: Dean Hume Published: 2026-09-14T15:54:31Z Content type: opinion Language: en Sources: [Dean Hume]() Topics: [Software Engineering]() Tags: [delivery](), [dependency](), [engineering](), [execution](), [meetings](), [ownership](), [project](), [software-engineering](), [teams](), [technical](), [technical-program-manager]() ### AI overview This article explains the role of a Technical Program Manager, focusing on the gaps between engineering teams, explicit ownership, cross-team dependencies, and proactive identification of release-blocking problems. ### Source excerpt What does a Technical Program Manager actually do? A look at the gaps they fill, the decisions they chase, and the reactive vs proactive split. ## How we shipped 15 Tbps for OpenAI in 90 days (Session 2 of 3) DevFeed: [How we shipped 15 Tbps for OpenAI in 90 days (Session 2 of 3)]() Original publisher: [Read original article]() Author: Sridhar Rajarao Published: 2026-09-12T00:00:00Z Content type: article Language: en Sources: [Sridhar Rajarao]() Topics: [OpenAI](), [Network](), [GPU](), [Server](), [Cache](), [API](), [Oracle Database]() Tags: [api](), [architecture](), [build](), [cache](), [capacity](), [database](), [debugging](), [execution](), [gateway](), [gpu](), [network](), [object](), [openai](), [performance](), [platform-engineering](), [server](), [servers](), [sre](), [storage](), [testing](), [warp]() ### AI overview The second session describes turning an architecture for OpenAI's 15 Tbps system into a delivery plan. It covers coordinated capacity planning across network, gateway, server, storage, and database teams; caching object names through the Inventory API; delivery tracking; and performance validation. Early WARP testing found packet drops caused by an unsuitable MTU of 1500, which was changed to 9100. ### Source excerpt Architecture was only the first week. Session 2 is about the build: capacity, execution discipline, and the first signs that performance would be the real test. ## Using AI as a deterministic translation tool in Laravel DevFeed: [Using AI as a deterministic translation tool in Laravel]() Original publisher: [Read original article]() Author: Freek Van der Herten (freek@spatie.be) Published: 2026-09-07T12:53:24Z Content type: tutorial Language: en Sources: [freek.dev - all blogposts]() Topics: [Artificial Intelligence](), [Laravel](), [Chain-of-thought]() Tags: [ai](), [execution](), [laravel](), [php](), [reasoning]() ### AI overview The article explains how to split a translation task into reasoning and execution steps to produce more deterministic behavior from a non-deterministic AI model in Laravel. ### Source excerpt Split a task into reasoning and execution to get deterministic behaviour out of a non-deterministic model. Read more ## \[webapps\] Metabase 0.61.0 - Authenticated Remote Code Execution DevFeed: [\[webapps\] Metabase 0.61.0 - Authenticated Remote Code Execution]() Original publisher: [Read original article]() Author: Gutierre0x80 Published: 2026-09-03T00:00:00Z Content type: article Language: en Sources: [Exploit-DB.com RSS Feed]() Topics: [Exploit](), [webapps]() Tags: [2026](), [cve](), [cve-2026-59827](), [execution](), [exploit](), [multiple](), [remote](), [remote-code-execution](), [webapps]() ### AI overview An Exploit-DB entry identifies authenticated remote code execution affecting Metabase 0.61.0 and associates it with CVE-2026-59827. ### Source excerpt Metabase 0.61.0 - Authenticated Remote Code Execution ## 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]() Original publisher: [Read original article]() Author: Jay Sivachelvan Published: 2026-08-31T00:00:00Z Content type: release Language: en Sources: [Temporal Blog]() Topics: [Google Cloud Platform (GCP)](), [SDKs](), [Google](), [reliability](), [Artificial Intelligence](), [Cloud Run](), [Resilience](), [API](), [Serverless]() Tags: [agent](), [agent-development-kit](), [agent-framework](), [announcements](), [api](), [billing](), [cloud-marketplace](), [cloud-run](), [execution](), [gemini](), [google](), [google-cloud](), [integration](), [launch](), [partnership](), [pricing]() ### 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. ## Temporal Agent Harness: An early look at durable agent infrastructure DevFeed: [Temporal Agent Harness: An early look at durable agent infrastructure]() Original publisher: [Read original article]() Author: Cornelia Davis Published: 2026-08-20T00:00:00Z Content type: article Language: en Sources: [Temporal Blog]() Topics: [Agent Harness](), [AI Agent](), [reliability](), [interfaces]() Tags: [agent-harness](), [ai](), [ai-agents](), [announcements](), [execution](), [interfaces](), [production](), [tool]() ### 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. ## The bot that lied to cricket fans with a straight face: Temporal x San Francisco Unicorns DevFeed: [The bot that lied to cricket fans with a straight face: Temporal x San Francisco Unicorns]() Original publisher: [Read original article]() Author: Shubham Londhe Published: 2026-08-04T00:00:00Z Content type: article Language: en Sources: [Temporal Blog]() Topics: [Bot](), [trust](), [data]() Tags: [cricket](), [execution](), [gemini](), [temporal-voices](), [trust](), [whatsapp]() ### AI overview A Temporal developer advocate describes building a WhatsApp bot for San Francisco Unicorns cricket fans. Gemini handled conversation while Temporal managed reminders, live-score polling, and durable execution; a live-score failure highlighted the importance of trust and reliable data. ### Source excerpt How a WhatsApp bot for San Francisco Unicorns cricket fans lied about a live score at 3 AM, and what durable execution with Temporal taught us about trust. ## Bridging Pub/Sub to Temporal with Standalone Activities DevFeed: [Bridging Pub/Sub to Temporal with Standalone Activities]() Original publisher: [Read original article]() Author: Houman Kargaran Published: 2026-07-28T00:00:00Z Content type: article Language: en Sources: [Temporal Blog]() Topics: [execution](), [client](), [Latency](), [Cloud]() Tags: [bridging](), [client](), [cloud](), [community](), [execution](), [latency](), [worker](), [workflow]() ### AI overview This guest post explains how Temporal Standalone Activities can connect Pub/Sub message handling to durable execution without wrapping each activity in a Workflow. It describes how this approach can reduce application-side retry, state-tracking, reconciliation, and monitoring complexity, while offering lower latency for short-lived activity executions. ### Source excerpt How a Temporal Standalone Activity bridges Pub/Sub to Durable Execution, keeping your event handler thin. ## The foundation: Why Temporal for a data pipeline? DevFeed: [The foundation: Why Temporal for a data pipeline?]() Original publisher: [Read original article]() Author: Houman Kargaran Published: 2026-07-23T00:00:00Z Content type: tutorial Language: en Sources: [Temporal Blog]() Topics: [data](), [Orchestration](), [pii](), [Requirements](), [Resilience](), [consistency](), [Availability](), [observability](), [AI search](), [Embeddings]() Tags: [auditability](), [community](), [compliance](), [data](), [data-pipeline](), [embeddings](), [execution](), [foundation](), [requirements](), [resilience](), [search](), [temporal]() ### AI overview This tutorial explains how to justify Temporal as the orchestration layer for a PII-compliant complaint-ingestion pipeline. It covers requirements for resilience, consistency, availability, observability, redaction, internal classification, and semantic search over complaint data. ### Source excerpt How to justify Temporal for a regulated data pipeline: the requirements, the naive approach, and why Durable Execution wins on resilience and auditability. ## Ensure Activity execution on the same Worker DevFeed: [Ensure Activity execution on the same Worker]() Original publisher: [Read original article]() Author: Cecil Phillip Published: 2026-05-11T00:00:00Z Content type: tutorial Language: en Sources: [Temporal Blog]() Topics: [execution](), [Workers](), [file](), [data]() Tags: [caching](), [connection-pooling](), [data](), [execution](), [files](), [queues](), [temporal-concepts](), [worker]() ### AI overview This article explains how Temporal Worker-specific Task Queues can keep all Activities in a workflow on the same Worker, preserving data locality for file processing, ML model caching, and database connection pooling. ### Source excerpt Stop re-downloading multi-GB files between Activities. Use Worker-specific Task Queues in Temporal to keep all Activities on the same Worker. ## Keep business processes moving by recovering failed steps without restarting DevFeed: [Keep business processes moving by recovering failed steps without restarting]() Original publisher: [Read original article]() Author: Tao Guo Published: 2026-05-11T00:00:00Z Content type: tutorial Language: en Sources: [Temporal Blog]() Topics: [Orchestration](), [Processes](), [retry]() Tags: [data](), [error](), [execution](), [state](), [temporal-concepts](), [workflows]() ### AI overview The article explains how to recover failed steps in durable business processes without restarting completed work. It presents a Temporal pattern in which workflows pause on permanent failures, accept corrections from humans or automated agents, and resume from the point of failure. ### Source excerpt Stop restarting broken business processes. See how Temporal Workflows pause on bad data, accept fixes via Signals, and resume without losing progress. ## Temporal Sandbox Orchestration Harness: The missing layer for running agents DevFeed: [Temporal Sandbox Orchestration Harness: The missing layer for running agents]() Original publisher: [Read original article]() Author: Stefan Richter Published: 2026-05-07T00:00:00Z Content type: article Language: en Sources: [Temporal Blog]() Topics: [Orchestration](), [agentic workflows](), [Persistence](), [Provisioning]() Tags: [agentic-workflows](), [agents](), [ai-agents](), [cleanup](), [durability](), [execution](), [files](), [harness](), [isolation](), [network](), [orchestration](), [persistence](), [process](), [product-news](), [provisioning](), [sandbox](), [temporal]() ### AI overview Temporal introduces reference materials and Code Exchange samples for orchestrating secure, isolated, temporary sandbox compute environments within Temporal Workflows used by AI agents. The materials address interfaces, provisioning, persistence, and cleanup. ### Source excerpt Standardize how AI agents in Temporal Workflows orchestrate sandbox compute. New Code Exchange samples cover provisioning, persistence, and cleanup. ## Workflow-as-code: orchestration in pure code DevFeed: [Workflow-as-code: orchestration in pure code]() Original publisher: [Read original article]() Author: Ruben Fiszel Published: 2026-04-03T00:00:00Z Content type: release Language: en Sources: [Windmill Blog]() Topics: [Orchestration](), [Code](), [Python](), [TypeScript](), [Concurrency](), [Error Handling]() Tags: [architecture](), [code](), [concurrency](), [editor](), [error-handling](), [execution](), [launch-week](), [orchestration](), [parallelism](), [python](), [releases](), [typescript](), [version-control](), [workflow](), [workflows]() ### AI overview Windmill introduces workflow-as-code, allowing complex workflows to be defined in TypeScript or Python. The system uses checkpointing and replay, runs tasks as separate jobs, supports parallelism and fault tolerance, and releases workers while workflows wait. ### Source excerpt Introducing workflow-as-code: define complex workflows in TypeScript or Python with checkpointing, parallelism, and fault tolerance built in. ## What Happens to an SQL Query? DevFeed: [What Happens to an SQL Query?]() Original publisher: [Read original article]() Author: Saurabh Dashora Published: 2026-03-04T03:14:28Z Content type: tutorial Language: en Sources: [System Design Codex]() Topics: [SQL](), [Databases](), [Parser](), [syntax]() Tags: [database](), [diagram](), [errors](), [execution](), [locks](), [rollback](), [sql](), [syntax]() ### AI overview This tutorial explains how an SQL query moves through a database. It covers transport and access checks, parsing and optimization into an execution plan, execution through the storage engine, and supporting components such as transactions, locks, buffering, and recovery. ### Source excerpt The Journey Through the DB ## Prek, a pre-commit alternative DevFeed: [Prek, a pre-commit alternative]() Original publisher: [Read original article]() Author: Tom Published: 2026-02-27T00:00:00Z Content type: tutorial Language: en Sources: [Tomasz Gągor]() Topics: [pre-commit](), [Rust]() Tags: [bash](), [best-practices](), [ci-cd](), [compatibility](), [developer-tools](), [execution](), [git-hooks](), [linux](), [macos](), [performance](), [pre-commit](), [prek](), [projects](), [rust](), [script](), [speed]() ### AI overview The article describes switching from pre-commit to Prek, a Rust-based drop-in alternative that preserves configuration compatibility while providing faster hook execution. It also presents a script for converting multiple repositories. ### Source excerpt Prek is a Rust-based pre-commit alternative that maintains full config compatibility while delivering significantly faster hook execution. ## Per-worker, and global, IO bandwidth in explain plans DevFeed: [Per-worker, and global, IO bandwidth in explain plans]() Original publisher: [Read original article]() Author: depesz Published: 2026-02-21T13:24:57Z Content type: article Language: en Sources: [select \* from depesz;]() Topics: [PostgreSQL](), [IO](), [parallel]() Tags: [analyze](), [execution](), [explain](), [explain-depesz-com](), [io](), [parallel](), [plan](), [postgresql](), [speed](), [timing](), [uncategorized](), [worker]() ### AI overview This article explains how PostgreSQL explain plans can report per-worker and global I/O bandwidth during parallel execution. It describes how summed worker timings differ from wall-clock time and introduces an exclusive-time bandwidth figure for the disks' total workload. ### Source excerpt Jeremy Schneider suggested a change to how plans are displayed - adding another bit of information in case we have timing information for IO for explain node. Took me a while to research, but it finally made it's way... Let's consider this simple plan. In it's Parallel Seq Scan node we see: -> Parallel Seq ... Continue reading "Per-worker, and global, IO bandwidth in explain plans" ## Code Execution Sandbox for Agents on Heroku DevFeed: [Code Execution Sandbox for Agents on Heroku]() Original publisher: [Read original article]() Author: Anush DSouza Published: 2026-02-17T20:34:33Z Content type: tutorial Language: en Sources: [Heroku]() Topics: [Heroku](), [Code](), [container](), [Model Context Protocol (MCP)](), [Claude]() Tags: [agents](), [claude](), [code](), [container](), [execution](), [heroku](), [heroku-ai](), [managed-inference-and-agents](), [mcp](), [mcp-on-heroku](), [news](), [sandbox]() ### AI overview Heroku describes code execution sandboxes for AI agents, using ephemeral one-off dynos to isolate untrusted code. The article explains built-in and MCP-based integrations and how programmatic tool calling can reduce context usage. ### Source excerpt Large language models are good at writing code. Data from Anthropic shows that allowing Claude to execute scripts, rather than relying on sequential tool calls, reduces token consumption by an average of 37%, with some use cases seeing reductions as high as 98%. Untrusted code needs a secure and isolated place to execute. We solved [...] The post Code Execution Sandbox for Agents on Heroku appeared first on Heroku. ## Top Projects for Coroutines Mastery in 2025 DevFeed: [Top Projects for Coroutines Mastery in 2025]() Original publisher: [Read original article]() Published: 2026-02-09T00:00:00Z Content type: article Language: en Sources: [Kt. Academy]() Topics: [Coroutines](), [Learning](), [Android](), [App](), [Library](), [Bluetooth](), [data]() Tags: [2025](), [android](), [application](), [bluetooth-low-energy](), [coroutines](), [data](), [execution](), [library](), [project](), [workshop-learning-programming]() ### AI overview An overview of projects associated with the Coroutines Mastery course in 2025, including tools and applications for monitoring coroutine execution, testing Android dispatchers, simplifying Bluetooth Low Energy usage, and observing stock market data. ### Source excerpt Overview of the best projects for Coroutines Mastery course in 2025 ## Building observable AI agents: Temporal now integrates with Braintrust DevFeed: [Building observable AI agents: Temporal now integrates with Braintrust]() Original publisher: [Read original article]() Author: Ornella Altunyan Published: 2026-01-20T00:00:00Z Content type: release Language: en Sources: [Temporal Blog]() Topics: [agent observability](), [ai observability](), [tracing](), [prompt](), [Large Language Model](), [Artificial Intelligence]() Tags: [agents](), [ai](), [ai-agents](), [announce](), [announcements](), [evals](), [execution](), [integration](), [latency](), [llm](), [observable](), [release](), [temporal](), [tracing](), [versioning]() ### AI overview Temporal announces an integration with Braintrust that combines Temporal's durable workflow execution with Braintrust's LLM observability. The integration is intended to help teams monitor and debug AI agents in production using tracing, prompt versioning, evaluations, and cost and latency metrics. ### Source excerpt Build observable AI agents with Temporal's new Braintrust integration -- combine durable workflow execution with LLM tracing, prompt versioning, evals, and cost/latency metrics so you can ship reliable, debuggable agents in production. ## 2025 Year in Review - Top 10 DevFeed: [2025 Year in Review - Top 10]() Original publisher: [Read original article]() Author: Phil Venables Published: 2026-01-10T14:36:22Z Content type: opinion Language: en Sources: [Risk and Cyber]() Topics: [Cybersecurity](), [Architecture & Design](), [Detection engineering](), [Vulnerabilities]() Tags: [2025](), [benchmarking](), [cybersecurity](), [execution](), [leadership](), [risk](), [technology](), [transformation](), [vulnerabilities](), [year-in-review]() ### AI overview A 2025 year-in-review highlighting posts about cybersecurity as a business leadership, strategic design, and sustainable execution function. It emphasizes moving from reactive security practices toward scalable, proactive systems and cautions against benchmarking based only on inputs such as budgets rather than control effectiveness. ### Source excerpt The most read posts in 2025 coalesced around the concept that successful cybersecurity is fundamentally a function of business leadership, strategic design, and sustainable execution . The unifying themes across the top posts emphasize shifting security from an artisanal, reactive craft to an industrial-scale, proactive capability focused on building scalable, self-reinforcing systems (flywheels). Transformation requires leaders to manage stakeholder expectations carefully, particularly by... ## A human-in-the-loop workflow for OpenCode agents, subagents, and Beads DevFeed: [A human-in-the-loop workflow for OpenCode agents, subagents, and Beads]() Original publisher: [Read original article]() Author: Leonidas Partsas Published: 2026-01-06T14:51:35Z Content type: tutorial Language: en Sources: [le0nidas]() Topics: [configuration](), [context window]() Tags: [agent](), [agentic-coding](), [agents](), [ai](), [beads](), [configuration](), [context-window](), [execution](), [know-your-tools](), [opencode](), [productivity](), [review](), [tasks]() ### AI overview The article describes a personal development workflow using one primary OpenCode agent, one subagent, and Beads to manage planned tasks. The primary agent selects tasks, delegates implementation, requests human review, and commits approved changes, with an inner loop for requested revisions. ### Source excerpt OpenCode's agents configuration and Beads. A match made in heaven. My flow until now Working on a task starts with the Plan agent. I provide an initial prompt of what I want to achieve and the agent responds with a plan. If the plan needs adjustments I ask the agent to update it. When I'm ... Continue reading Pinky and the Brain: my agent/subagent duo -> ## The unbreakable web: From fragile scripts to bulletproof Workflows DevFeed: [The unbreakable web: From fragile scripts to bulletproof Workflows]() Original publisher: [Read original article]() Author: Kyle Jeong Published: 2025-08-20T00:00:00Z Content type: opinion Language: en Sources: [Temporal Blog]() Topics: [Browser Automation](), [Automation](), [Artificial Intelligence](), [AI Bots]() Tags: [agents](), [ai-agents](), [announcements](), [automation](), [browser](), [execution](), [self-healing](), [workflows]() ### AI overview The article argues that production web automation needs more than brittle scripts. It presents Browserbase's Stagehand SDK and Temporal Durable Execution as a combination for semantic interaction with web elements, recovery from failures, and continuation after interruptions. ### Source excerpt Build bulletproof browser automation and AI agents with Browserbase and Temporal. Stagehand and Durable Execution turn fragile scripts into resilient Workflows. [Next page]()