# Slack Slack is a developer platform with APIs and tools for building apps, integrations, workflows, and agents. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Switching to Slack DevFeed: [Switching to Slack]() Original publisher: [Read original article]() Author: Khan Academy Published: 2015-11-09T23:00:00Z Content type: article Language: en Sources: [Khan Academy]() Topics: [Slack](), [migration](), [notifications](), [systems](), [Documentation]() Tags: [administration](), [chat](), [connectivity](), [delivery](), [documentation](), [engineering](), [infrastructure](), [integration](), [migrate](), [news](), [notifications](), [organization](), [remote](), [slack](), [switching](), [team]() ### AI overview Khan Academy describes its decision to migrate team chat from HipChat to Slack after connectivity, message delivery, and notification problems affected reliability, especially for remote workers. The article outlines cultural, administrative, organizational, and integration-related costs that make chat-platform migration difficult. ### Source excerpt By Benjamin Pollack Khan Academy recently made the decision to migrate our team chat from HipChat to Slack. ... Read more ## From alert to resolution: Manage incidents with Bits Chat in Slack DevFeed: [From alert to resolution: Manage incidents with Bits Chat in Slack]() Original publisher: [Read original article]() Author: Nancy Zhu; Evan Marcantonio; Nicole Parisi; Chris Miller Published: 2026-09-16T00:00:00Z Content type: tutorial Language: en Sources: [Datadog | The Monitor blog]() Topics: [incident](), [Slack](), [Artificial Intelligence](), [telemetry](), [Code](), [Pull Request]() Tags: [ai](), [also](), [bits-ai](), [code](), [collaboration](), [ecommerce](), [incident](), [monitor](), [root-cause-analysis](), [slack](), [telemetry]() ### AI overview This tutorial explains how Bits Chat in Slack can support incident response by investigating alerts, analyzing telemetry, coordinating responders, generating a pull request for a fix, and tracking follow-up work within the incident channel. ### Source excerpt Use Bits Chat in Slack to investigate incidents, collaborate with responders, make code fixes, and capture follow-up work where your team communicates. ## 🎙 How I AI: How this PM uses Claude to handle 70% to 80% of his workday DevFeed: [🎙 How I AI: How this PM uses Claude to handle 70% to 80% of his workday]() Original publisher: [Read original article]() Author: Lenny Rachitsky Published: 2026-08-31T15:01:58Z Content type: article Language: en Sources: [Lenny's Newsletter]() Topics: [Claude](), [Artificial Intelligence](), [Notion](), [Slack](), [email]() Tags: [ai](), [claude](), [email](), [notion](), [podcast](), [slack]() ### AI overview A podcast episode explains how Melio product manager Daniel Blum built a self-improving AI system around Claude and Cowork. The system manages parts of his Notion workflow, prepares weekly and daily briefs, scans Slack and email for relevant context, asks questions about missing knowledge, and learns from his edits. Blum says it eventually handles 70% to 80% of his workday, while emphasizing that system architecture and continuously maintained context matter more than choosing a particular AI platform. ### Source excerpt Your weekly listens from How I AI, part of the Lenny's Podcast Network ## Build Your Own AI-Powered Slack Bot with the Laravel AI SDK DevFeed: [Build Your Own AI-Powered Slack Bot with the Laravel AI SDK]() Original publisher: [Read original article]() Author: Freek Van der Herten (freek@spatie.be) Published: 2026-08-31T12:59:25Z Content type: tutorial Language: en Sources: [freek.dev - all blogposts]() Topics: [Laravel](), [Artificial Intelligence](), [SDK](), [Slack]() Tags: [ai](), [build](), [knowledge-base](), [laravel](), [php](), [providers](), [sdk](), [slack](), [spatie](), [tasks](), [tools]() ### AI overview A tutorial on building an AI-powered Slack bot with the Laravel AI SDK. The bot can switch AI providers, answer questions, execute tasks, and retrieve information from a controlled knowledge base. ### Source excerpt In this article, we'll build an AI-powered Slack bot with the Laravel AI SDK. Unlike tools such as Claude Tag, it can switch AI providers, answer questions, execute tasks, and retrieve information from a knowledge base you control. Read more ## How I turned Claude into a self-improving PM assistant | Daniel Blum (PM, Melio) DevFeed: [How I turned Claude into a self-improving PM assistant | Daniel Blum (PM, Melio)]() Original publisher: [Read original article]() Author: Claire Vo Published: 2026-08-31T12:04:18Z Content type: article Language: en Sources: [Lenny's Newsletter]() Topics: [Claude](), [Notion](), [Slack](), [email](), [Artificial Intelligence](), [Automation](), [AI Infrastructure](), [User experience (UX)]() Tags: [agent-orchestration](), [automation](), [claude](), [email](), [notion](), [slack](), [ux]() ### AI overview A podcast episode in which Daniel Blum explains how he uses Claude and Cowork to manage Notion, Slack, and email workflows, automate weekly preparation, learn internal terminology, and identify improvements to his system. He also discusses scaling the setup to Melio's PM team and the remaining limitations. ### Source excerpt Listen now | 🎙 PM Daniel Blum walks through the exact Cowork and Claude setup that manages his Notion, tracks his tasks across Slack and email, and self-improves every week without him lifting a finger ## Putting an agent in a shared thread makes it a colleague DevFeed: [Putting an agent in a shared thread makes it a colleague]() Original publisher: [Read original article]() Author: WorkOS Published: 2026-08-27T15:16:58Z Content type: opinion Language: en Sources: [WorkOS Blog]() Topics: [Artificial Intelligence](), [Slack]() Tags: [agent](), [agents](), [ai](), [context](), [slack](), [threads]() ### AI overview The article argues that placing AI agents in shared Slack threads makes them function like colleagues, creating social and operational questions around addressing, assignment, permissions, presence, and audience. Drawing on the experience of running more than 80 team agents, it presents mention-only responses and a distinction between room membership and assignment as practical rules. ### Source excerpt Internal AI moved from dashboards into Slack threads. That changes addressing, mandate, presence, and audience -- questions that used to apply only to people. ## How we shipped a production API out of one Slack thread DevFeed: [How we shipped a production API out of one Slack thread]() Original publisher: [Read original article]() Author: WorkOS Published: 2026-08-27T14:09:14Z Content type: article Language: en Sources: [WorkOS Blog]() Topics: [API](), [Slack](), [CRUD]() Tags: [agents](), [api](), [merge](), [production](), [pull-requests](), [rest](), [security](), [slack]() ### AI overview WorkOS describes how its IT Contact API was shipped from a single Slack thread. Humans made product and design decisions and gated the merge, while agents handled tickets, pull requests, review responses, and merges. The discussion shaped the API from an initial RPC proposal toward REST and resolved security, deletion, and duplicate-creation questions. ### Source excerpt The WorkOS IT Contact API went live on August 18 out of a single Slack thread. Humans made the decisions and gated the merge; agents did everything else. ## What shipping an OAuth app on Slack, Microsoft, and Atlassian actually takes DevFeed: [What shipping an OAuth app on Slack, Microsoft, and Atlassian actually takes]() Original publisher: [Read original article]() Author: WorkOS Published: 2026-08-27T00:00:00Z Content type: article Language: en Sources: [WorkOS Blog]() Topics: [OAuth](), [atlassian](), [Microsoft](), [Slack]() Tags: [apps](), [atlassian](), [distribution](), [integration](), [launch](), [microsoft](), [oauth](), [review](), [slack]() ### AI overview This article explains the non-code requirements for launching an OAuth app on Slack, Microsoft, and Atlassian. It highlights Slack's requirement for five active-workspace installs before Marketplace submission, Microsoft's partner-account requirement, Atlassian's identity-verification requirement, and the uncertainty of provider review queues. ### Source excerpt Five installs before Slack reads your submission, a partner account before Microsoft trusts your consent screen, and identity verification before Atlassian lists you. None of it is code. ## 5 Atlas agents essential to how we operate at WorkOS DevFeed: [5 Atlas agents essential to how we operate at WorkOS]() Original publisher: [Read original article]() Author: WorkOS Published: 2026-08-26T00:00:00Z Content type: article Language: en Sources: [WorkOS Blog]() Topics: [Bot](), [Tool](), [API](), [data](), [Slack](), [Google](), [Notion](), [Claude]() Tags: [agent](), [agents](), [api](), [atlas](), [bots](), [data](), [google](), [integrations](), [slack]() ### AI overview This article describes five Atlas agents that WorkOS teams use in daily operations. It explains how agents are created through Slack, how they connect to internal tools and data sources, and how Wallaby provides governed go-to-market intelligence and actions. The supplied text ends mid-article, so the summary is limited to the available passages. ### Source excerpt Meet the agents our teams rely on day to day: what each one does, what it's connected to, and where it knows to stop. ## Chat SDK now supports Slack Enterprise Grid DevFeed: [Chat SDK now supports Slack Enterprise Grid]() Original publisher: [Read original article]() Author: Ben Sabic Published: 2026-08-25T00:00:00Z Content type: release Language: en Sources: [Vercel News]() Topics: [Slack](), [Bot](), [API](), [SDKs]() Tags: [api](), [bots](), [documentation](), [events](), [http](), [identity](), [routing](), [sdk](), [slack](), [tokens]() ### AI overview Chat SDK's Slack adapter now supports Slack Enterprise Grid, allowing organization-wide bot installations to work across every workspace. The update adds enterprise-aware token resolution, tenant-scoped caches, event retry deduplication, workspace-aware API calls, and support for Grid user IDs in outgoing mentions. ### Source excerpt Chat SDK's Slack adapter now supports Slack Enterprise Grid. Bots installed org-wide work across every workspace, with correct token resolution, tenant-scoped caches, and event retry deduplication. The adapter now stores org-wide installations by enterprise ID. This matches how tokens are resolved for incoming events, slash commands, and interactive payloads. SlackInstallation records the new identity fields: Token resolution behaves the same over HTTP webhooks and Socket Mode. Events route by the installation identity in the envelope's authorizations field, which keeps routing correct for Slack Connect shared channels. The adapter is also hardened for multi-workspace deployments: User profile and mention caches are scoped per installation, so one tenant's data never resolves for another. API calls made with an org-wide token pass the event's team_id automatically, which Slack requires for workspace-scoped methods. Retried event deliveries are deduplicated for 24 hours, covering Slack's Delayed Events redeliveries. Outgoing mentions accept W-prefixed Grid user IDs alongside U-prefixed IDs. Single-workspace installations are unaffected, and getInstallation and deleteInstallation work unchanged for both install types. Read the Slack adapter documentation to get started. Read more ## Connect v0 apps to Slack, Google, and 100+ other services DevFeed: [Connect v0 apps to Slack, Google, and 100+ other services]() Original publisher: [Read original article]() Author: Vishal Yathish Published: 2026-08-24T00:00:00Z Content type: release Language: en Sources: [Vercel News]() Topics: [Vercel](), [Slack](), [Google](), [GitHub](), [Notion](), [dashboards](), [Playwright]() Tags: [agent](), [apps](), [browser](), [connectors](), [github](), [google](), [secrets](), [slack](), [tokens](), [vercel](), [voice]() ### AI overview Vercel Connect lets apps and agents built in v0 securely connect to more than 100 services, including Slack, Google, Notion, GitHub, and Salesforce. It provides guided connector setup, reusable team configuration, managed app registration for some services, and short-lived runtime tokens. Examples include a voice-controlled browser agent that generates Playwright code and a dashboard combining Slack, Gmail, and Linear information. ### Source excerpt Apps and agents built in v0 can now securely connect to more than 100 services, including Slack, Google, Notion, GitHub, and Salesforce, through Vercel Connect. Ask v0 to connect your app to a service. It opens the connector setup and guides you through it. You set up each connector once for your team, then reuse it across apps. For managed connectors like Slack and GitHub, Vercel handles app registration, so you don't need to create or configure an app with the provider. For other services, you can provide your own credentials. In both cases, Vercel Connect issues short-lived tokens at runtime, so your application doesn't need to store or rotate long-lived secrets. Using v0 and Vercel Connect, Danny from KERNEL built a voice-controlled browser agent that generates Playwright code to operate a real browser. We built a personal dashboard that brings Slack messages, Gmail, and Linear issues into one view and summarizes what needs attention. Read the documentation or try it yourself in v0: Read more ## Vercel Agent is now available in Slack code channels DevFeed: [Vercel Agent is now available in Slack code channels]() Original publisher: [Read original article]() Author: Shilpa Apte Published: 2026-08-20T00:00:00Z Content type: release Language: en Sources: [Vercel News]() Topics: [Vercel](), [Slack](), [Code](), [Pull Request](), [Authorization]() Tags: [agent](), [bugs](), [code](), [coding](), [dependency](), [docs](), [enterprise](), [errors](), [logs](), [pull-requests](), [review](), [slack](), [vercel]() ### AI overview Vercel Agent is available in Slack code channels, enabling teams to assign coding work, follow deployments and diagnostics, review pull requests, and provide additional instructions in conversation. The feature is in public beta for Pro and Enterprise teams. ### Source excerpt Vercel Agent now works in Slack code channels, a new kind of channel launched today for working with a coding agent. Anyone in the channel can follow the work, give Agent new instructions, and review the code it writes. Choose Create a code channel from the Slack sidebar, select Vercel as the agent, and describe what you need to get started. You can also ask Agent to create one from an existing channel or thread. It brings that context with it to the new channel. Use code channels to investigate incidents, write and review code as a team, or manage ongoing work such as dependency upgrades and migrations. Inside a Vercel Agent code channel: Follow the work: Agent posts relevant deployments, logs, errors, and diffs in the channel as it works. Talk without repeated @Vercel mentions: Agent follows the conversation, recognizes which messages are for it, and continues when the team gives it more work. Review pull requests: Ask Agent for a PR review and it posts its findings in the channel. It can find bugs outside the diff, and explain failing checks and their root causes. Approve every change: Agent is read-only by default and never exceeds the requester's permissions. Before making a change, it drafts a plan and waits for approval. For every action, Vercel records who requested and approved it and what Agent ran. Stop work at any time: The person who created the code channel can cancel an active task. Vercel Agent in Slack code channels is available in public beta for Pro and Enterprise teams. Add Vercel to Slack, learn about Slack Code, or read the docs. Read more ## Vercel for Slack now in public beta DevFeed: [Vercel for Slack now in public beta]() Original publisher: [Read original article]() Author: Shilpa Apte Published: 2026-08-19T00:00:00Z Content type: release Language: en Sources: [Vercel News]() Topics: [Slack](), [Vercel](), [Deployment](), [Pull Request](), [ci](), [Code](), [Authorization]() Tags: [agent](), [channel](), [ci](), [code](), [deployment](), [enterprise](), [logs](), [metrics](), [pricing](), [pull-requests](), [slack](), [vercel](), [work]() ### AI overview Vercel Agent is now available in Slack public beta for Pro and Enterprise teams. It can investigate deployment and runtime issues, help fix build and CI failures, review pull requests, and propose approved changes such as deployment rollbacks or configuration updates. The agent is read-only by default, respects requester permissions, requires approval for changes, and attributes actions to the agent, requester, and approver. ### Source excerpt Vercel Agent is now available in Slack. Mention @Vercel in any channel or thread, and Agent joins the conversation with relevant context from your Vercel projects, including deployments, builds, logs, metrics, configuration, and connected repos. For example, use it to: Investigate incidents: Ask why a deployment failed or what's causing a runtime error. It investigates and explains what it found. Write and review code: Work with your team and Agent to fix build and CI failures, review pull requests with production context, or turn a decision from the thread into a tested PR. Take action with approval: Tell it to make a change, such as rolling back a deployment or updating configuration. Agent drafts a plan and waits for your approval. Once approved, it gets temporary access to carry out the plan, then returns to read-only. Vercel Agent acts through its own identity. It's read-only by default, never exceeds the requester's permissions, and makes no changes without approval. Every action is attributed to Agent, the requester, and the approver. Vercel for Slack follows Vercel Agent pricing. During the beta, a limited number of simple requests are free. Paid work is billed on demand. The public beta is open to Pro and Enterprise teams. Install Agent for Slack from the Vercel Marketplace, read the docs, or see how we use it ourselves. Read more ## Introducing Vercel for Slack DevFeed: [Introducing Vercel for Slack]() Original publisher: [Read original article]() Author: Kevin Corbett Published: 2026-08-19T00:00:00Z Content type: release Language: en Sources: [Vercel News]() Topics: [Slack](), [Vercel](), [Artificial Intelligence](), [Pull Request](), [ci](), [feature flags](), [configuration]() Tags: [agent](), [ai](), [collaboration](), [enterprise](), [feature-flags](), [features](), [logs](), [metrics](), [pull-request](), [reviews](), [slack](), [vercel](), [work](), [workflow]() ### AI overview Vercel introduces Vercel for Slack, a Public Beta integration for Pro and Enterprise teams. Vercel Agent can join channels, threads, and direct messages, use context from deployments, logs, metrics, code reviews, and pull requests, answer questions, investigate incidents, and propose fixes. Approved plans can also update code or configuration, roll back deployments, manage feature flags, and create tested pull requests without leaving Slack. ### Source excerpt Vercel Agent now works in Slack. Mention it the way you'd pull a teammate into a thread, and it reads the discussion, answers with the context of the platform running your app, and turns the team's decisions into changes you approve. Vercel for Slack is available today in Public Beta for Pro and Enterprise teams. Work starts in conversation. An alert gets noticed in a channel, a fix gets agreed on in a thread, and then someone leaves Slack to do the work. With Vercel Agent, you can tag it in for answers about your infrastructure or hand it the work, all without leaving the conversation. What is Vercel Agent? When we introduced Vercel Agent, we called it an AI teammate for your development workflow. Today it's the first responder for your production apps. When something changes, it investigates your logs, metrics, and deployments, finds the root cause, and proposes a fix, often before anyone's opened a laptop. Give it a PR and it flags the regressions and risky changes that a passing CI run won't show. In Slack, that agent joins the conversation itself. It is a core part of Vercel, so your deployments, build statuses, logs, metrics, code reviews, and PRs are in front of it before you've typed anything. Mention @Vercel in a channel, a thread, or a DM, and it answers like a teammate with every tab already open. And answering is only half of it, because once you know what's wrong, the agent can go fix it: Diagnose issues: Investigate incidents, trace errors to the deploy that caused them, explain a cost spike, and answer questions about your codebase. Code alongside your team: Fix failing builds and CI, review PRs with knowledge of how the code runs in production, and turn a thread's decision into a tested pull request. Operate your projects: Roll back deployments, update configuration, manage feature flags, and resolve unusual usage before it becomes a bill. The agent is read-only by default, and anything that changes code or configuration goes through a plan that you ## Automating quality support at scale: AI and human in the loop DevFeed: [Automating quality support at scale: AI and human in the loop]() Original publisher: [Read original article]() Author: Hugo Casademont Published: 2026-08-18T00:00:00Z Content type: article Language: en Sources: [Windmill Blog]() Topics: [Artificial Intelligence](), [Claude](), [Discord](), [Slack](), [GitHub Issues](), [email](), [Linear](), [telemetry](), [WebSocket]() Tags: [ai](), [ai-windmill-support-claude](), [automated](), [claude](), [discord](), [email](), [github-issues](), [linear](), [slack](), [support](), [telemetry](), [windmill]() ### AI overview Windmill describes an internal support-automation pipeline that consolidates Discord, Slack, email, and GitHub issues into a Discord queue. It uses Claude and customer context to triage requests, draft replies and fixes, while requiring human approval before responses are sent. ### Source excerpt How does Windmill automate its own support? A Windmill pipeline funnels Discord, Slack and email tickets into one Discord queue, triages them with Claude, drafts replies, and dispatches fixes. ## Centralize human and agentic work with Datadog Work Management DevFeed: [Centralize human and agentic work with Datadog Work Management]() Original publisher: [Read original article]() Author: Roxanne Moslehi Published: 2026-08-18T00:00:00Z Content type: article Language: en Sources: [Datadog | The Monitor blog]() Topics: [AI Agent](), [incident](), [site-reliability-engineering](), [Slack](), [SRE](), [SIEM, Security](), [GitHub](), [error tracking](), [dashboards](), [Traces]() Tags: [agentic](), [ai](), [ai-agent](), [cloud-siem](), [dashboards](), [devops](), [devsecops](), [error-tracking](), [github](), [incident](), [management](), [slack](), [sre](), [traces](), [work-management](), [workflow-automation]() ### AI overview Datadog Work Management centralizes work created by people, automations, and Datadog AI agents. It preserves context from logs, traces, monitors, alerts, ownership, assignments, approvals, artifacts, and activity while integrating with Datadog and external collaboration systems. ### Source excerpt Learn how Datadog Work Management helps you coordinate human and AI agent-driven work while preserving context, ownership, and activity across tools. ## What it's like to join WorkOS as a product designer DevFeed: [What it's like to join WorkOS as a product designer]() Original publisher: [Read original article]() Author: WorkOS Published: 2026-08-17T19:47:49Z Content type: opinion Language: en Sources: [WorkOS Blog]() Topics: [Artificial Intelligence](), [Model Context Protocol](), [Tooling](), [Figma](), [Slack](), [Notion]() Tags: [ai](), [connectors](), [context](), [data](), [design](), [designer](), [figma](), [mcp](), [slack](), [tooling]() ### AI overview A product designer describes joining WorkOS and using shared company context, MCP-connected data, Slack, Notion, and AI-assisted design tooling to answer product questions and onboard more quickly. ### Source excerpt What it's actually like to join WorkOS as a product designer: transparent context by default, and AI as everyday design tooling. ## WorkOS Applied AI Showcase July 28 2026 - Moving to an AI-native Organization DevFeed: [WorkOS Applied AI Showcase July 28 2026 - Moving to an AI-native Organization]() Original publisher: [Read original article]() Author: WorkOS Published: 2026-08-14T13:36:57Z Content type: article Language: en Sources: [WorkOS Blog]() Topics: [Artificial Intelligence](), [Low-Code / Internal Tools](), [AI-assisted coding](), [Containers](), [MCP](), [Command-line interface](), [incident](), [Security](), [datadog](), [Pull Request](), [Slack](), [GitHub]() Tags: [agent](), [agents](), [ai](), [applied-ai](), [cli](), [coding](), [coding-agents](), [containers](), [datadog](), [demo](), [event](), [github](), [incident](), [internal-tools](), [mcp](), [organization](), [pull-request](), [slack](), [talks](), [team]() ### AI overview WorkOS's Applied AI Showcase in New York presented five internal tools--Horizon, Blog Bot, the CLI, Wallaby, and Atlas--through live demos and talks. The article explains how the Applied AI team helps non-engineering functions build AI-powered workflows and systems. ### Source excerpt WorkOS is becoming an AI-native organization. The Applied AI Showcase in NYC on July 28th 2026 showed exactly how with live demos and talks from the Applied AI team. ## Give a scheduled agent access to a user's Google, Slack, and Jira with no signed-in session DevFeed: [Give a scheduled agent access to a user's Google, Slack, and Jira with no signed-in session]() Original publisher: [Read original article]() Author: WorkOS Published: 2026-08-12T00:00:00Z Content type: tutorial Language: en Sources: [WorkOS Blog]() Topics: [Tutorial](), [API keys](), [Authorization](), [OAuth](), [Slack](), [Google]() Tags: [agent](), [api](), [audit](), [auth0](), [authorization](), [autonomous-agents](), [browser](), [google](), [jira](), [logging](), [rotation](), [scheduled](), [scopes](), [slack](), [token](), [tokens](), [tutorial]() ### AI overview A tutorial showing how to give scheduled workers access to a user's Google, Slack, and Jira through WorkOS Pipes without a signed-in session. It covers scoped credential retrieval, token relay, rotation, revocation, and audit logging. ### Source excerpt A runnable tutorial for pulling per-connection third-party credentials from WorkOS Pipes with nobody logged in, plus relay, rotation, revocation, and audit logging. ## Generating AI Descriptions of Automated Pull Requests DevFeed: [Generating AI Descriptions of Automated Pull Requests]() Original publisher: [Read original article]() Author: Daniel Doubrovkine (dblock@dblock.org) Published: 2026-08-11T00:00:00Z Content type: tutorial Language: en Sources: [Daniel Doubrovkine]() Topics: [GitHub Copilot CLI](), [GitHub Actions](), [GitHub Copilot](), [Large Language Model](), [Ruby](), [Slack](), [changelog](), [Pull Request](), [Open Source](), [JSON](), [YAML]() Tags: [ai](), [automated](), [changelog](), [ci](), [cli](), [copilot](), [github](), [github-actions](), [github-copilot](), [github-copilot-cli](), [json](), [llm](), [open-source](), [pull-request](), [pull-requests](), [ruby](), [yaml]() ### AI overview A tutorial explains how the maintainer of the slack-ruby-client library uses a scheduled GitHub Actions workflow and GitHub Copilot CLI to generate meaningful commit messages, pull request bodies, and CHANGELOG entries from diffs of regenerated Slack API code. It also covers YAML indentation, prompt files, response logging, and extracting a JSON result from Copilot CLI output. ### Source excerpt The slack-ruby-client library, an open source Ruby gem I maintain, runs a scheduled GitHub Actions workflow that regenerates code from Slack's API definitions and opens a pull request with the diff. The commit message and CHANGELOG entry used to be a generic "Update API (2026-08-11)", which told a reviewer nothing about what actually changed. Here's how we taught the workflow to describe its own diffs, using GitHub Copilot CLI, which open source maintainers can get for free. The Idea The workflow already computes a diff before opening the pull request. Instead of a boilerplate commit message, we pipe that diff through an LLM and ask it to summarize what changed, then use the response as the commit message and PR body. - name: Check for changes id: changes run: | if git diff --quiet; then echo "changed=false" >> "$GITHUB_OUTPUT" else echo "changed=true" >> "$GITHUB_OUTPUT" fi - name: Prepare diff for AI summary if: steps.changes.outputs.changed == 'true' run: | git diff --stat | sed 's/^/ /' > /tmp/diff_stat.txt git diff | head -c 20000 | sed 's/^/ /' > /tmp/diff.txt The sed 's/^/ /' indent isn't decorative. actions/ai-inference substitutes template variables as raw text into a prompt YAML file before parsing it, so a multi-line diff starting at column 0 breaks the indentation of the enclosing content: |- block scalar. Pre-indenting the file to match keeps the YAML valid no matter what the diff looks like. The Prompt File actions/ai-inference supports .prompt.yml files, a small convention for keeping the system/user prompt out of the workflow YAML. messages: - role: system content: |- You write CHANGELOG entries describing an automated API update to slack-ruby-client, a Ruby gem whose Web API endpoint methods, argument validations, specs, and bin commands are code-generated from vendored Slack API method definitions (via a git submodule and rake task). Given a diffstat and a diff of the regenerated files, respond with ONLY a single JSON object (no markdown code fence ## Building Internal Flashboards in Slack with AI DevFeed: [Building Internal Flashboards in Slack with AI]() Original publisher: [Read original article]() Author: WorkOS Published: 2026-08-10T16:15:41Z Content type: article Language: en Sources: [WorkOS Blog]() Topics: [Slack](), [dashboards](), [Artificial Intelligence](), [Claude](), [data](), [API](), [HTML]() Tags: [agent](), [ai](), [api](), [claude](), [code-generation](), [html](), [leaderboards](), [reporting](), [slack]() ### AI overview WorkOS describes Flashboards, an internal reporting tool built as documents with live data connections and edited through AI agents in Slack. The article explains its HTML-based architecture, read-only data access, employee authentication, natural-language creation workflow, interactive filters, and versioned iteration. ### Source excerpt Flashboards is WorkOS's internal reporting tool: a doc with a live data connection, and agents as the only editing interface. Zero to 55 weekly readers in seven weeks. ## Agentic SDLC in Practice: Insights from Engineering Leaders DevFeed: [Agentic SDLC in Practice: Insights from Engineering Leaders]() Original publisher: [Read original article]() Author: Matar Peles Published: 2026-08-10T11:42:34Z Content type: article Language: en Sources: [Developer Experience & Platform Engineering Blog | Port]() Topics: [sdlc](), [Artificial Intelligence](), [AI Agent](), [Platform Engineering](), [Model Context Protocol](), [MCP Server](), [incident](), [Data Quality](), [Amazon Bedrock](), [Slack](), [cursor](), [Pull Request]() Tags: [agent](), [agentic](), [agents](), [ai](), [ai-agent](), [bedrock](), [coding](), [cursor](), [data-quality](), [engineering](), [incident](), [mcp](), [mcp-server](), [platform-engineering](), [python](), [review](), [sdlc](), [server](), [slack](), [workflow]() ### AI overview Engineering leaders share practical examples of an agentic SDLC, including autonomous Jira ticket resolution through pull request creation and AI-powered incident triage. The article highlights adoption challenges such as siloed agents, missing governance, and the need for a shared registry of agents, skills, and MCPs. ### Source excerpt Engineering leaders share how agentic SDLC works in practice: what scales adoption, where teams get stuck, and how to maximize AI ROI. ## Automate Incident Intake with AI SRE Runbooks DevFeed: [Automate Incident Intake with AI SRE Runbooks]() Original publisher: [Read original article]() Author: Ryan Taylor Published: 2026-08-10T00:00:00Z Content type: tutorial Language: en Sources: [Harness Blog]() Topics: [SRE](), [incident](), [Automation](), [Slack](), [zoom](), [Grafana](), [datadog](), [Artificial Intelligence]() Tags: [ai](), [automation](), [build](), [datadog](), [grafana](), [harness](), [incident](), [integrations](), [jira](), [open](), [services](), [slack](), [sre](), [workflow](), [zoom]() ### AI overview This article explains how Harness AI SRE runbooks automate incident intake and early response. Triggered by alerts, manual actions, or incident changes, a runbook can create tickets, open Slack channels, start Zoom bridges, set incident fields, and record actions in the incident timeline. ### Source excerpt Automate incident intake with Harness AI SRE runbooks: auto-create tickets, open Slack channels, start Zoom bridges, and cut response time to seconds. | Blog ## Connect any tool to Port with the new Ocean custom integration DevFeed: [Connect any tool to Port with the new Ocean custom integration]() Original publisher: [Read original article]() Author: Maya Margalit Published: 2026-07-30T11:21:16Z Content type: article Language: en Sources: [Developer Experience & Platform Engineering Blog | Port]() Topics: [No-code](), [API](), [sdlc](), [Open Source](), [Entra ID](), [Claude](), [cursor](), [Slack]() Tags: [api](), [developers](), [framework](), [integration](), [no-code](), [open-source](), [sdlc]() ### AI overview Port's Ocean custom integration is a no-code interface that lets platform engineers connect tools through their APIs, including tools that are not officially supported. The article says customers can build integrations in one day, and describes examples involving Entra ID, Cursor, Claude, and Slack. ### Source excerpt The new Ocean custom integration is a no-code interface that pulls data from any tool's API so you can complete the SDLC picture. [Next page]()