# Linear Linear is a work-tracking application for teams that plan, track, and ship product work, with issue tracking and GitHub pull-request automation. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## When non-devs open PRs DevFeed: [When non-devs open PRs]() Original publisher: [Read original article]() Author: Anton Zaides Published: 2026-08-25T06:01:00Z Content type: opinion Language: en Sources: [Manager.dev]() Topics: [Pull Request](), [Development](), [Linear](), [Artificial Intelligence]() Tags: [ai](), [article](), [code](), [jira](), [linear](), [reviews](), [work]() ### AI overview An opinion article examines the challenges and potential benefits of allowing non-engineers, including product managers and designers, to open pull requests on a software codebase. It discusses review responsibility, boundaries, scaling concerns, and reduced communication cycles, while citing Linear usage data about non-engineer code contributions and AI feature use. ### Source excerpt What to watch out for when letting non-engineers open PRs on your codebase ## 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. ## Building Gigaboy, An Autonomous Software Engineering Agent Orchestrator DevFeed: [Building Gigaboy, An Autonomous Software Engineering Agent Orchestrator]() Original publisher: [Read original article]() Published: 2026-03-02T00:00:00Z Content type: tutorial Language: en Sources: [Gaurav Sarma's Blog]() Topics: [AI Agent](), [Software Engineering](), [Linear](), [GitHub](), [Go Language](), [pull-requests](), [PostgreSQL](), [Redis](), [function calling]() Tags: [agent](), [ai-agent](), [engineering](), [function-calling](), [github](), [go](), [linear](), [postgresql](), [redis](), [software-engineering]() ### AI overview This article introduces Gigaboy, an autonomous software engineering orchestrator that watches Linear issues, takes tickets marked Todo, explores a repository, makes code changes, opens and iterates on pull requests, and can merge approved work. It explains the limitations of chat-based coding assistants and describes using Linear as the primary interface, with Redis and PostgreSQL supporting the system. ### Source excerpt . [Building Gigaboy: An Autonomous Agent Orchestrator](building-an-ai-agent-orchestrator-cover... ## Practical Advice for Becoming a More Effective Software Developer DevFeed: [Practical Advice for Becoming a More Effective Software Developer]() Original publisher: [Read original article]() Author: Tiger Abrodi Published: 2025-08-05T11:21:34Z Content type: opinion Language: en Sources: [Saiyan Growth Letter]() Topics: [Development](), [Linear](), [Pull Request]() Tags: [build](), [communication](), [dev](), [how-to](), [project]() ### AI overview An opinion article offering practical advice for software developers: build extensively, develop both breadth and depth, prioritize important work, keep project scope small, communicate progress, and move discussions toward prototypes and shipping. ### Source excerpt My observations of devs I admire. ## Linear MCP Integration for AI Agents - Kevin Galligan DevFeed: [Linear MCP Integration for AI Agents - Kevin Galligan]() Original publisher: [Read original article]() Published: 2025-04-23T00:00:00Z Content type: tutorial Language: en Sources: [Touchlab | Enterprise Mobile Innovation & Development]() Topics: [Model Context Protocol (MCP)](), [Linear](), [AI Agent](), [Artificial Intelligence](), [dev-tools]() Tags: [agents](), [ai](), [ai-agent](), [ai-agents](), [authentication](), [developer-tools](), [integration](), [linear](), [mcp](), [open-source]() ### AI overview Touchlab describes an enhanced, stabilized Model Context Protocol integration for Linear that lets AI agents create detailed, context-aware issues. The article covers configuration for teams, projects, statuses, priorities, and assignees, along with authentication, error reporting, and maintenance improvements. ### Source excerpt Touchlab's enhanced Model Context Protocol (MCP) integration for Linear allows your AI agent to interact directly with Linear, streamlining workflows and saving you time. Building upon existing work, this stabilized tool will create detailed, context-aware issues with significantly less manual effort.