Reading up on Linear
29 deep · digging since nov 21, 25
- BOND
Bond is an AI-powered Chief of Staff that aggregates tasks from Slack, email, and calendars into a prioritized to-do list.
- The modern company won't have bullshit jobs
AI agents can automate administrative overhead like syncing tools and tracking metrics, freeing humans for strategic work.
- The minimum viable unit of saleable software
Falling costs of AI-assisted coding shift the build-vs-buy calculus, but hidden maintenance, organizational risk, and irrational buyer behavior keep proprietary software viable.
- Kenneth Skovhus | Moving Linear from styled‑components to StyleX
Linear is migrating its React app from styled-components to StyleX for performance and stricter styling contracts, using a custom codemod and agent-assisted workflow.
- GitHub - emilkowalski/skills: Skills for Design Engineers.
A curated set of coding skills for design engineers that encode animation and UI best practices, helping AI agents produce better interfaces through domain expertise.
- Coding sessions in Linear – Changelog
Linear Agent can now write and review code using Claude Code and Codex, enabling end-to-end issue-to-ship workflows from within Linear.
- Introducing Vercel Connect - Vercel
Vercel Connect replaces long-lived provider tokens with runtime, scoped, short-lived credentials accessed via OIDC for agents and apps.
- Show HN: Airbyte Agents – context for agents across multiple data sources
Airbyte Agents launch a unified data layer that pre-indexes business data from multiple sources so AI agents can discover and act on it without making expensive, error-prone live API calls.
- GTM Atlas by Attio
Attio publishes a curated go-to-market map featuring 15 essays from operators at companies like Stripe, Notion, and Anthropic on modern GTM strategy.
- claude code is not making your product better
Coding agents increase senior engineer output but not product velocity, as the bottleneck is product taste and complexity management, not code production speed.
- Continually improving our agent harness
Cursor improves its coding agent by iterating on context management, evaluation metrics, and model-specific harness customization, treating the harness as a software product.
- Agents with Taste
Engineers can encode their design taste into structured skill files for AI coding agents, enabling agents to produce visually refined results by following explicit rules for animations, typography, and layout.
- The Software Factory: Why Your Team Will Never Work the Same Again
AI coding agents like Claude Code already enable software factories where developers design specs and agents implement, shrinking teams and shipping features in hours instead of weeks.
- Build agents that run automatically
Cursor Automations let developers create always-on agents triggered by events (Slack, Linear, GitHub, PagerDuty, webhooks) to automate code review, monitoring, and maintenance tasks.
- How technical support at Cursor uses Cursor
Cursor's support team uses Cursor with MCP servers to collapse code, logs, and team knowledge, achieving 5–10x throughput gains.
- Building An Elite AI Engineering Culture In 2026
High-performing engineering teams in 2026 are defined by taste, discipline, and leverage—not by AI tool choice—and a small set of exemplars like Linear, Cursor, Vercel, and Stripe share structural practices like writing-driven culture, design-engineer fusion, spec-driven development, tiny teams, and ruthless quality habits.
- Nebula - Build Your AI Workforce
Nebula is a shared workspace where teams build AI agents with tools and memory to automate workflows across inboxes, code, and APIs.
- How Cognition Uses Devin to Build Devin - by Nader Dabit
Cognition uses its own Devin agents across Slack, Linear, and CLI to merge 659 PRs weekly, automating code review, bug triage, and design-system audits.
- Claude Code made me love meetings again
AI coding tools like Claude Code reduce the need for deep flow states, freeing mental capacity to enjoy spontaneous meetings and interruptions.
- Think diff – Introducing Linear Reviews
Linear launches Linear Reviews, a code review experience with structural highlighting, guided reviews, and agent integration, synced with GitHub.
- Notion working on custom MCPs, Workers, and Computer Use
Notion is building custom MCPs, Workers, computer-use agents, and an AI co-editor to transform its platform into an automation hub.
Takes
You know a company is starting to lose the plot when they start publishing nonsense comparison pages. Who is juggling Linear, Jira, Rovo for AI, and Loom? 😂 (we still haven’t published a single comparison page)
@karrisaarinen
How we imbue coding agents with our design standards
@rauchg
The response to this has been crazy. So many teams want to move their team docs to @linear where they work. In the first 24h we added 200+ companies to beta so we now decided to open this for everyone. Start creating team docs, no additional cost
@karrisaarinen
Very nice breakdown of how @linear is fast. The why we had from the beginning was: fast software gets used and is loved, and software that is about coordination and communication benefits from that.
@karrisaarinen
I have a draft blog post swirling around this exact topic (but not refined enough to publish yet). I think the key thing is I (personally) don't want a NEW GitHub. I want GitHub to be better. For example: - GitHub issues should be as beautiful and good as Linear - GitHub PRs should be as good as Graphite - GitHub Git infra should be as fast/minimal as Pierre - GitHub wikis should be more like Notion - GitHub discussions & shouldn't exist (multiple "better issue" providers including Linear show why) - etc. I'm not saying to clone those full companies outright, but their core product, arguably the core features, aren't even 2% as good as those external products. Maybe aim for 10% to start. There's the "oh no there's so much tech debt" argument. And I'm sure GH is on an absolutely mountain of tech debt. That's why in my prior twoots I've argued to just make them separate products to start only for agility reasons, unapologetically do not integrate with "old github." Net net startups beat encumbants all the time for reasons. That's just a product/technical POV though. GitHub also has a huge PR/marketing problem. They talk through corp speak, their marketing pages (e.g. the dot com) speaks to multiple personas confusingly, they have no singular visionary to look up or trust, they have nobody who makes the outward community feel seen. There's so much more here... I think for the human side, GitHub already has what it needs to be really, really, really good. It really feels like they just like fearless vision, and the courage/power to say "fuck you" to a whole lot of things that are distracting them.
@mitchellh
Introducing Linear Agent. Built directly into Linear and accessible everywhere, it understands your roadmap, issues, and code. Ask anything. Command everything.
@linear
The Death of Issue Tracking
@danlovesproofs
Listened to this interview with @stewart last night. I found it interesting, and surprisingly familiar to how we build at @linear.- Focusing on quality and creating those small delights that help people feel emotionally connected to the product- Leaning into taste as an… https://t.co/8F33cu6JhC
@karrisaarinen