# workflows Published articles for workflows. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Rise of the Knowledge Engineer DevFeed: [Rise of the Knowledge Engineer]() Original publisher: [Read original article]() Author: David Isquick Published: 2026-09-16T00:00:00Z Content type: article Language: en Sources: [Mintlify Blog]() Topics: [Documentation](), [Artificial Intelligence](), [AI-assisted coding](), [Users]() Tags: [agents](), [ai](), [ai-trends](), [api](), [developers](), [documentation](), [knowledge-base](), [operational](), [source-of-truth](), [support](), [workflows]() ### AI overview The article examines the rise of the knowledge engineer as companies increasingly serve AI agents that read documentation, compare products, solve support problems, and perform tasks. It argues that organizations need operating systems and processes to keep knowledge accurate, accessible, consistent, and retrievable, because incorrect information can spread through generated code, support responses, and automated workflows. ### Source excerpt Agents are one of the largest audiences for company knowledge, accounting for 66% of measured web traffic across documentation powered by Mintlify. The emerging role responsible for keeping that knowledge accurate and retrievable is the knowledge engineer. ## Building the new GitHub Copilot Inline Suggestions Model: Part One DevFeed: [Building the new GitHub Copilot Inline Suggestions Model: Part One]() Original publisher: [Read original article]() Author: Julia Gong, Ben Liggett, Ulugbek Abdullaev Published: 2026-09-16T00:00:00Z Content type: article Language: en Sources: [Visual Studio Code - Code Editing. Redefined.]() Topics: [GitHub Copilot](), [AI-assisted coding](), [coding](), [Development](), [GitHub](), [Software Engineering]() Tags: [agent](), [ai-assisted-coding](), [blog](), [coding](), [github](), [github-copilot](), [quality](), [vs-code](), [workflows]() ### AI overview GitHub Copilot unified completion-style ghost text, nearby next edit suggestions, and long-distance edits into a single "3-in-1" model. The article explains that training, evaluation, and editor design evolved together, and that the unified model can improve suggestion selection and cache additional edits for faster subsequent interactions. ### Source excerpt Explore how GitHub Copilot unified completion, next edit, and long-distance suggestions into one model for a faster, more cohesive coding experience. Read the full article ## 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. ## Give every teammate and agent the right level of access to your Workers DevFeed: [Give every teammate and agent the right level of access to your Workers]() Original publisher: [Read original article]() Author: Visal In Published: 2026-09-15T13:00:00Z Content type: release Language: en Sources: [Cloudflare Blog]() Topics: [Workers](), [Authorization](), [Developer Platform](), [debug]() Tags: [agent](), [api](), [cloudflare](), [debug](), [developer](), [developer-platform](), [developers](), [identity](), [least-privilege](), [logs](), [metrics](), [monitor](), [product-news](), [scope](), [security](), [traces](), [workers](), [workflows]() ### AI overview Cloudflare now lets teams scope access to individual Workers and assign narrower Developer Platform roles. Teammates, CI tokens, and agents can receive only the permissions needed to debug, deploy, or monitor safely. ### Source excerpt You can now scope access to individual Workers and assign narrower Developer Platform roles, so teammates, CI tokens, and agents get only the access they need to debug, deploy, or monitor safely. ## Port vs. Jellyfish: Engineering Intelligence Compared DevFeed: [Port vs. Jellyfish: Engineering Intelligence Compared]() Original publisher: [Read original article]() Author: Tomasz Skora Published: 2026-09-15T12:02:54Z Content type: comparison Language: en Sources: [Developer Experience & Platform Engineering Blog | Port]() Topics: [Software Engineering](), [Developer experience](), [dora metrics](), [AI Strategy](), [code productivity]() Tags: [ai-adoption](), [compare](), [devex](), [dora-metrics](), [engineering](), [software-engineering](), [workflows]() ### AI overview A comparison of Port and Jellyfish as Engineering Intelligence platforms. Jellyfish focuses on analytics and decision support for engineering performance, investment, developer experience, and AI impact, while Port connects findings to software context, owners, standards, and governed workflows so teams can act and measure outcomes. ### Source excerpt Compare Port and Jellyfish across Engineering Intelligence, AI impact, DevEx, software context, governed workflows, and measurable outcomes. ## How Delphi ships 100 times a day with its Python backend on Vercel DevFeed: [How Delphi ships 100 times a day with its Python backend on Vercel]() Original publisher: [Read original article]() Author: Kevin Sundstrom Published: 2026-09-15T04:00:00Z Content type: article Language: en Sources: [Vercel News]() Topics: [Python](), [Vercel](), [Back end](), [feature flags](), [Amazon Web Services](), [Docker](), [airflow]() Tags: [aws](), [backend](), [docker](), [feature-flags](), [python](), [vercel](), [workflow](), [workflows]() ### AI overview A Vercel case study describes how Delphi rebuilt its Python backend on Vercel after previously using AWS, ECS, Docker Desktop, and local databases. The move gave the team a shared deployment workflow, faster onboarding, and more than 100 production deploys per day, while Vercel Workflows and Queues support long-running work and background jobs. ### Source excerpt Delphi on Vercel 10 engineers with no dedicated infrastructure role Everyone ships code, including product and design 100+ production deploys a day behind feature flags Delphi builds digital minds. They capture what someone has written, recorded, and taught, so anyone can tap that expertise on demand. Delphi is "a destination where you can find and interact with interesting minds," says founding engineer Spencer Schoeben. Nobody has built a digital mind network before, so Delphi figures out what to build by shipping features and watching how people use them. That only works if the product is fast to change. "If we are going to win, we need to have an excellent developer and agentic experience," Spencer says. "Otherwise, we could not adapt to how fast our user's demands change." Delphi's frontend had run on Vercel since day one. "The frontend has always been easy," Spencer says, "but the backend was a nightmare." Six months ago, the team rebuilt its Python backend on Vercel as well. Today the whole team ships to production 100+ times a day. Building a Python backend that's easy to work onThe backend slowed every change Delphi's backend previously ran on AWS, with ECS, Docker Desktop, and local databases. In the earliest days, the setup worked because the team was small and much of the context lived in people's heads. As Delphi grew, that made onboarding slower than the team wanted: getting a new engineer to their first deploy took a full day of environment setup. Delphi could have fixed that without leaving AWS. But fixing it properly would have meant designing and owning the infrastructure themselves, and the team didn't want to own infrastructure at all. "That is not our current goal as a company," Spencer says. After moving the backend to Vercel, new engineers could get to production much faster, with the same deploy workflow the rest of the team used every day. Workflows and Queues made the move possible When Delphi was founded, Vercel Workflows and Vercel Queues ## Article: Implementing Durable Workflows on Postgres Without an External Orchestrator DevFeed: [Article: Implementing Durable Workflows on Postgres Without an External Orchestrator]() Original publisher: [Read original article]() Author: Raman Varma Published: 2026-09-14T11:00:00Z Content type: article Language: en Sources: [InfoQ]() Topics: [Databases](), [SQL](), [Provisioning](), [incident](), [CI/CD](), [Kubernetes](), [AWS Step Functions](), [Artificial Intelligence]() Tags: [ai](), [ai-ml-data-engineering](), [architecture-design](), [article](), [automation](), [aws-step-functions](), [database](), [durable-workflows-postgres](), [incident-response](), [infrastructure](), [kubernetes](), [ml-data-engineering](), [orchestration](), [postgres](), [queue](), [relational-databases](), [sql](), [workflows]() ### AI overview This article explains how to implement durable workflows on Postgres without an external orchestrator. It describes using row-level locking as a concurrent work queue, primary-key checkpoints for idempotency, and leases with a sweeper for crash recovery. Workflow state, sleeps, and human approvals can persist in the database and survive process restarts. ### Source excerpt Postgres can serve as the durable state store and coordination layer for workflows, eliminating the need for an external orchestrator. SKIP LOCKED enables concurrent work processing, primary-key checkpoints enforce idempotency, and leases support crash recovery. Workflow sleeps and human approvals can also be persisted as database state and survive restarts. By Raman Varma ## Are Browser-Based Apps Enough for Web Designers? DevFeed: [Are Browser-Based Apps Enough for Web Designers?]() Original publisher: [Read original article]() Author: Eric Karkovack Published: 2026-09-13T19:09:47Z Content type: opinion Language: en Sources: [Speckyboy Design Magazine]() Topics: [web applications](), [Web platform](), [web-standards](), [Figma](), [Google]() Tags: [apps](), [browser](), [collaboration](), [design](), [design-business](), [freelance-career](), [freelance-design](), [privacy](), [software](), [tools](), [web](), [web-apps](), [web-design](), [web-designers](), [workflows]() ### AI overview Browser-based apps have matured enough to handle serious design, editing, and productivity work. The article considers their convenience and collaboration benefits, while also examining privacy concerns and cases where desktop tools remain preferable. ### Source excerpt Browser-based apps can now handle serious design, editing, and productivity work. We take a look at their convenience, collaboration benefits, privacy risks, and where desktop tools still make sense. The post Are Browser-Based Apps Enough for Web Designers? appeared first on Speckyboy Design Magazine. ## How to Evaluate Live & Voice Agents in ADK DevFeed: [How to Evaluate Live & Voice Agents in ADK]() Original publisher: [Read original article]() Author: Stephen Allen Published: 2026-09-12T11:04:33.891311Z Content type: tutorial Language: en Sources: [Google Developers Blog]() Topics: [AI Bots](), [CI/CD]() Tags: [agents](), [audio](), [ci-cd](), [cli](), [evaluation](), [gemini](), [how-to](), [json](), [llm](), [production](), [testing](), [tool](), [tools](), [transcripts](), [voice](), [workflows]() ### AI overview The article explains how to evaluate live voice agents in ADK with simulated audio conversations, automated scoring, and recorded results. It covers scenario-based and fixed-conversation test cases, multi-agent workflows, and running evaluations in CI/CD. ### Source excerpt Moving live voice agents from demo to production requires rigorous, automated testing to handle the unpredictability of real multi-turn conversations. ADK now provides native live evaluation, allowing developers to test graph-based agent workflows against LLM-driven simulated users that generate actual audio via Gemini TTS. By defining evaluation scenarios and natural-language rubrics, you can automatically score audio responses and tool executions, inspect the resulting transcripts in ADK Web, or run the CLI directly in your CI/CD pipeline. ## Enable on-demand expertise with Agent Skills in Genkit Go DevFeed: [Enable on-demand expertise with Agent Skills in Genkit Go]() Original publisher: [Read original article]() Author: Daniela Petruzalek Published: 2026-09-12T11:04:33.891311Z Content type: tutorial Language: en Sources: [Google Developers Blog]() Topics: [Agent Skills](), [Agent Harness](), [context window](), [Go](), [Script]() Tags: [agent](), [agent-skills](), [architecture](), [context-window](), [developers](), [go](), [skills](), [workflows]() ### AI overview This article explains how Agent Skills in Genkit Go provide on-demand specialized expertise through progressive disclosure. Skills package instructions, references, and scripts in modular SKILL.md bundles, exposing only metadata initially and loading full content when a task requires it. ### Source excerpt To prevent context window bloat and reduce token consumption, Genkit Go introduces Agent Skills based on a progressive disclosure architecture. Developers can package specialized instructions, scripts, and references into modular SKILL.md bundles where only the frontmatter metadata is initially exposed to the agent's system prompt. When a task matches the skill's description, Genkit's middleware dynamically loads the full instruction body and associated assets, ensuring the model accesses precise workflows exactly when needed. ## The 6 best HIPAA-compliant form builders for sensitive information DevFeed: [The 6 best HIPAA-compliant form builders for sensitive information]() Original publisher: [Read original article]() Author: Adam Lehman Published: 2026-09-12T00:00:00Z Content type: comparison Language: en Sources: [Webflow Blog]() Topics: [data](), [data-processing](), [Encryption](), [Software](), [cloud-infrastructure]() Tags: [compliance](), [data](), [encryption](), [enterprise](), [forms](), [healthcare](), [strategy](), [workflows]() ### AI overview A comparison of six HIPAA-compliant form builders for healthcare teams collecting protected health information (PHI). It evaluates Business Associate Agreement requirements, safeguards such as encryption and audit logging, pricing and plans, form capabilities, and suitability for workflows ranging from patient intake to complex clinical questionnaires. ### Source excerpt Compare the 6 best HIPAA-compliant form builders for healthcare teams collecting PHI, from affordable to enterprise options. ## A Day of Sensemaking After Starting a New Job DevFeed: [A Day of Sensemaking After Starting a New Job]() Original publisher: [Read original article]() Author: John Cutler Published: 2026-09-11T02:16:25Z Content type: opinion Language: en Sources: [The Beautiful Mess]() Topics: [Notion](), [context](), [Tool]() Tags: [context](), [notion](), [product](), [workflows]() ### AI overview The author describes a day spent understanding a new product, its workflows, history, people, artifacts, and accumulated context. They use a subway-map metaphor and Notion tables to organize journeys, handoffs, data sources, and other materials, while questioning which information remains valid. ### Source excerpt I recently started a new job, which means I'm spending a lot of my time trying to figure out how everything works: the product, the workflows, the history, the people, the artifacts, and all the context that everyone else has accumulated over time. ## GPT Images 2.5 promises edits that leave the rest of your image alone DevFeed: [GPT Images 2.5 promises edits that leave the rest of your image alone]() Original publisher: [Read original article]() Author: Meredith Shubel Published: 2026-09-10T19:46:32Z Content type: news Language: en Sources: [The New Stack]() Topics: [Artificial Intelligence](), [Latency]() Tags: [ai](), [applications](), [cost](), [generation](), [gpt](), [images](), [latency](), [model](), [models](), [openai](), [production](), [prototyping](), [search](), [workflows]() ### AI overview OpenAI's GPT Images 2.5 introduces two image-editing models: Flare, optimized for speed and lower latency, and Sunburst, designed for greater precision and control. Both have the same listed token rates, but OpenAI does not explain their actual token consumption or comparative per-image costs. ### Source excerpt When OpenAI launched GPT Images 2.5 this week, the company promised better results for a common editing task: changing one The post GPT Images 2.5 promises edits that leave the rest of your image alone appeared first on The New Stack. ## Bifrost adds a remote MCP server, automated workflows, managed signing credentials, and AI build diagnoses DevFeed: [Bifrost adds a remote MCP server, automated workflows, managed signing credentials, and AI build diagnoses]() Original publisher: [Read original article]() Author: Yannick Lyn Fatt Published: 2026-09-10T17:06:47Z Content type: release Language: en Sources: [Laravel]() Topics: [Model Context Protocol](), [MCP Server](), [Artificial Intelligence](), [Pull Request]() Tags: [ai](), [bifrost](), [laravel](), [mcp](), [mcp-server](), [nativephp](), [news](), [workflows]() ### AI overview Bifrost, NativePHP's build and distribution service, marks its first anniversary with 10,000 successful builds and several new capabilities. The update adds a remote MCP server, event-driven workflows, managed signing credentials, and Claude-generated diagnoses for failed builds. ### Source excerpt Bifrost marks its first year and 10,000 successful builds with an MCP server, automated workflows, managed credentials, and AI build diagnoses. The post Bifrost Turns One With AI Builds and New Workflows appeared first on Laravel News. Join the Laravel Newsletter to get Laravel articles like this directly in your inbox. ## Redefining Digital Resilience in the AI Era DevFeed: [Redefining Digital Resilience in the AI Era]() Original publisher: [Read original article]() Author: Kamal Hathi Published: 2026-09-10T17:00:15Z Content type: news Language: en Sources: [Cisco Blogs]() Topics: [Resilience](), [Artificial Intelligence](), [data](), [Architecture & Design](), [Security](), [SOC](), [monitor]() Tags: [agentic-ai-security](), [agentic-ops](), [agentic-security](), [ai](), [ai-agents](), [autonomous](), [cost](), [digital-resilience](), [executive-platform](), [governance](), [monitor](), [observability](), [resilience](), [scale](), [security](), [soc](), [speed](), [workflows]() ### AI overview Splunk is evolving its data platform for the AI era, focusing on digital resilience, trusted autonomous agents, machine-speed security operations, and economically governed AI workflows. ### Source excerpt Splunk is evolving for the AI era - removing constraints to help customers achieve digital resilience and leverage AI with speed, scale and trust. ## Rebuilding AUTOMATIC1111 with Gradio Workflow DevFeed: [Rebuilding AUTOMATIC1111 with Gradio Workflow]() Original publisher: [Read original article]() Author: yuvraj sharma; Abubakar Abid Published: 2026-09-10T00:00:00Z Content type: tutorial Language: en Sources: [Hugging Face - Blog]() Topics: [AI Development](), [Graphs](), [stable-diffusion](), [Inference](), [Large Language Model](), [hugging face](), [vlm]() Tags: [automatic1111](), [comfyui](), [diffusion](), [flux](), [gradio](), [hugging-face](), [image-to-image](), [image-to-video](), [inference](), [inference-providers](), [llm](), [models](), [python](), [space](), [spaces](), [text-to-image](), [vlm](), [workflow](), [workflows]() ### AI overview A walkthrough of Workflow1111, a Gradio graph that recreates AUTOMATIC1111-style media pipelines with connected operator nodes for image generation, editing, prompting, and related tasks. ### Source excerpt We're on a journey to advance and democratize artificial intelligence through open source and open science. ## Join our live webinars: Migrating from Atlassian to YouTrack DevFeed: [Join our live webinars: Migrating from Atlassian to YouTrack]() Original publisher: [Read original article]() Author: Elena Pishkova Published: 2026-09-09T12:51:07Z Content type: news Language: en Sources: [The JetBrains Blog]() Topics: [migration](), [AI Bots]() Tags: [ai-agents](), [atlassian](), [best-practices](), [data-center](), [demo](), [deployment](), [documentation](), [events](), [helpdesk](), [knowledge-base](), [livestreams](), [mcp](), [migration](), [project-management](), [tutorials](), [webinar](), [workflows](), [youtrack](), [youtrack-server]() ### AI overview JetBrains announces live webinars about migrating from Atlassian products to YouTrack. Sessions cover moving projects, users, and data from Jira, Confluence, and Jira Service Management, with migration demos, deployment and pricing information, customer stories, and regional sessions. ### Source excerpt Atlassian is discontinuing sales and support for Data Center products. If you're exploring alternatives, join us for a live session on September 30 to see how Jira-to-YouTrack migration works, including a demo and real customer stories. Register for the worldwide English-language webinar, hosted by the YouTrack team, or attend a regional session in Japanese hosted [...] ## Modernizing complex legacy code with AI agents. DevFeed: [Modernizing complex legacy code with AI agents.]() Original publisher: [Read original article]() Published: 2026-09-09T12:00:46Z Content type: article Language: en Sources: [Mistral AI Blog]() Topics: [AI Bots](), [C++]() Tags: [agents](), [ai](), [ai-agents](), [c-plus-plus](), [code](), [documentation](), [migration](), [modernization](), [review](), [workflows]() ### AI overview Mistral describes migrating a 40,000-line Fortran 77 reservoir simulator to C++ with AI agents and human oversight. The approach emphasizes numerical-parity verification, documentation, architectural refactoring, and maintainability. ### Source excerpt Mistral helped a European energy operator migrate 40,000 lines of Fortran 77 to C++. Learn how it was done, and the lessons to carry forward. ## GPT-6 Astra: The next generation in intelligence for work DevFeed: [GPT-6 Astra: The next generation in intelligence for work]() Original publisher: [Read original article]() Published: 2026-09-09T11:00:00Z Content type: article Language: en Sources: [OpenAI News]() Topics: [computer-use](), [coding](), [Software Engineering](), [Latency]() Tags: [api](), [chatgpt](), [codex](), [coding](), [computer-use](), [developer](), [engineering](), [gpt](), [latency](), [model](), [openai](), [product](), [software-engineering](), [work](), [workflows]() ### AI overview GPT-6 Astra is presented as a model for business work, with computer-use capabilities, coding support, and use within existing applications and workflows. ### Source excerpt Meet GPT-6 Astra, OpenAI's most capable model for business, with advanced reasoning, computer use, and stronger writing and design judgment. ## Cleveland Clinic, RIKEN, IBM named Gordon Bell finalists DevFeed: [Cleveland Clinic, RIKEN, IBM named Gordon Bell finalists]() Original publisher: [Read original article]() Published: 2026-09-09T04:00:00Z Content type: news Language: en Sources: [IBM Research]() Topics: [High-Performance Computing](), [ibm](), [Supercomputing](), [Benchmark](), [data]() Tags: [automated](), [chemistry](), [gpu](), [hpc](), [ibm](), [news](), [quantum](), [quantum-community](), [quantum-network](), [quantum-research](), [recognition](), [research](), [supercomputing](), [workflows]() ### AI overview Cleveland Clinic, RIKEN, and IBM were named finalists for the 2026 ACM Gordon Bell Prize for quantum-HPC chemistry research. The collaboration simulated a 12,635-atom protein system and reported an automated workflow that reduces coordination and data movement across quantum and classical computing resources. ### Source excerpt Finalist recognition for one of supercomputing's top prizes arrives as researchers report new progress in automated quantum-HPC chemistry workflows. ## Evaluation-First AI Agents: How Zepto Scales Customer Support on Databricks and MLflow DevFeed: [Evaluation-First AI Agents: How Zepto Scales Customer Support on Databricks and MLflow]() Original publisher: [Read original article]() Author: Gireesh Sreedhar KP; Deepak Dhankani; Eash Sharma Published: 2026-09-09T03:00:00Z Content type: article Language: en Sources: [Databricks]() Topics: [AI Agent](), [databricks](), [AI Infrastructure](), [real-time]() Tags: [agents](), [ai](), [ai-engineering](), [architecture](), [best-practices](), [blog](), [company](), [customer](), [customers](), [data-science-and-ml](), [data-strategy](), [databricks](), [efficiency](), [engineering](), [evaluation](), [india](), [industries](), [operations](), [platform](), [product](), [production](), [real-time](), [retail-consumer-goods](), [scale](), [workflows]() ### AI overview This Databricks and MLflow case study describes how Zepto uses an evaluation-first, multi-agent AI system to operate customer support at more than 100,000 tickets per day. It focuses on the system architecture, evaluation framework, quality gate, and development and production loops used to improve reliability as volume, product categories, languages, and failure modes expand. ### Source excerpt Zepto's Push for Reliable, Real-Time Customer SupportZepto is one of India's fastest-growing... ## How we built data-driven AI Golden Paths at Datadog DevFeed: [How we built data-driven AI Golden Paths at Datadog]() Original publisher: [Read original article]() Author: Addie Beach; Rui Martins Lacerda Published: 2026-09-09T00:00:00Z Content type: article Language: en Sources: [Datadog | The Monitor blog]() Topics: [AI Bots]() Tags: [agent](), [agent-observability](), [ai](), [cli](), [cost](), [dashboards](), [development](), [documentation](), [experiments](), [performance](), [security](), [skills](), [workflows]() ### AI overview Datadog describes a data-driven process for establishing AI Golden Paths: standardized AI-agent workflows governed by controls such as skills, hooks, and tests. The approach evaluates controls for their effects on code quality, security, token usage, cost, and agent performance. ### Source excerpt See how a Datadog guild achieved 13% faster agent runs by building Golden Paths for AI-assisted development using controls, experiments, and dashboards. ## Introducing ChatGPT Images 2.5 DevFeed: [Introducing ChatGPT Images 2.5]() Original publisher: [Read original article]() Published: 2026-09-08T11:30:00Z Content type: release Language: en Sources: [OpenAI News]() Topics: [API]() Tags: [api](), [chatgpt](), [codex](), [feature](), [generate](), [generation](), [gpt](), [images](), [latency](), [mobile](), [models](), [product](), [speed](), [web](), [work](), [workflows]() ### AI overview ChatGPT Images 2.5 is a new image model with sharper details, more precise multi-turn editing, improved reference-photo fidelity, richer textures, and up to 50% lower generation latency than Images 2.0. The release adds creative controls in ChatGPT and introduces GPT-Image-2.5 Flare and Sunburst in the API. ### Source excerpt ChatGPT Images 2.5 helps turn your ideas, sketches, and reference photos into more personalized, polished images that better reflect your ideas. ## Distributed tracing for CI pipelines without touching a single workflow file DevFeed: [Distributed tracing for CI pipelines without touching a single workflow file]() Original publisher: [Read original article]() Author: George Sims, downtherabbithole.dev Published: 2026-09-08T11:00:00Z Content type: article Language: en Sources: [Cloud Native Computing Foundation]() Topics: [ci]() Tags: [blog](), [ci](), [github](), [github-actions](), [instrumentation](), [jobs](), [opentelemetry](), [tracing](), [workflow](), [workflows]() ### AI overview The article describes collecting GitHub Actions events at the organization level and converting them into OpenTelemetry spans to trace CI workflows without editing individual workflow files. ### Source excerpt You've probably felt this one: GitHub Actions usage creeps up across your org, and your actual visibility into it doesn't keep pace. Which workflows are slow? Which are flaky? How long are jobs sitting queued for... [Next page]()