Tools for developersWorks with Linear

6 match your filters — 6 of them answered our check today.

Watching this group for 20 days · how we check

This week2 new arrivals

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Live

A free Chrome extension that turns a click on a broken webpage element into a structured bug report (with screenshot, browser/OS context, console errors) pushed straight to Linear or Jira, instead of a back-and-forth email/Slack explanation.

FreeNo sign-up
What to know
How it works
Click to pin an element, captures CSS selector, coordinates, browser/OS/viewport/console errors, one click sends to tracker
What's different
Works anywhere Chrome can open a page, including localhost and behind VPN, no dashboard/account needed

Watched for 2 days · last checked 2d ago

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Qalibr

Live

Reads full bug-report threads from Slack or other channels and turns real defects into structured tickets automatically, for QA and engineering teams.

What to know
How it works
Reads the whole conversation, checks for duplicates, and drafts a ticket only when it's a real bug
What's different
Works from full thread context instead of just keywords or the last message
Best for
QA and engineering teams triaging bug reports from Slack, WhatsApp, email, or support forms

Watched for 4 days · last checked 4d ago

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Choji

Live

AI agents that turn Slack and Gmail requests or backlog tickets into tickets and pull requests against your own repo, then review the code — built for engineering teams already on GitHub.

Domain registered 3 months ago

What to know
How it works
AI agents pull context from tools like Slack, Gmail, Linear, and Jira, generate tickets grounded in your repository and team knowledge, then autonomously implement fixes and review the resulting pull requests.
What's different
Works across the tools teams already use for requests — Slack, Gmail, Granola, Intercom, Crisp, Posthog, Linear, Jira, GitHub — rather than requiring a new intake channel.
Best for
Engineering teams that want customer or backlog requests turned into shipped code without manually triaging and writing tickets.
Watch out
Claims like shipping '8x faster' and 'six-figure' savings are quoted from customers Choji says are using the product, not independently verified figures.

Watched for 13 days · last checked 7d ago

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A feedback widget for your site that captures bug reports along with console logs, network errors and stack traces automatically — built for dev teams, not a general NPS tool.

No tracking
What to know
How it works
A one-script-tag feedback widget for websites that lets visitors submit praise, ideas and bug reports along with automatic developer context: console logs, network errors, JS stack traces, and a click-trail repro summary. Higher plans add AI sentiment summaries, screenshots, and screen recordings, plus webhook routing to Slack or Linear.
What's different
Captures full developer debug context (console logs, failed network calls, stack traces) with every submission, aimed at dev teams rather than general NPS tools.
Best for
Development teams who want bug reports that already include reproducible technical context.

Watched for 12 days · last checked 6d ago

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Connects AI coding tools like Cursor, Claude Code and Codex to Linear and Jira so tickets auto-update — gives engineering leads visibility into AI-assisted work.

What to know
How it works
Connects AI coding tools (Cursor, Claude Code, Windsurf, Codex) to Linear and Jira, so tickets auto-update as agents work and every AI session follows your team's standards.
What's different
It isn't a coding agent or a PM tool itself — it's specifically the bridge that gives leads visibility into what AI agents are doing.
Best for
Engineering leads who want visibility into AI-assisted work without asking developers to manually update tickets.

Watched for 18 days · last checked 2d ago

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A tool that turns spoken feedback and screen annotations into structured, developer-ready tickets with user stories and acceptance criteria, sent directly to Jira, Linear, or Notion.

Domain registered 1 month ago

What to know
How it works
Capture your screen, speak feedback, and add visual annotations; the AI structures it into a ticket with user stories, acceptance criteria, screenshots, and technical context, then sends it to Jira, Linear, or Notion.
Best for
Teams turning feedback or bug reports into tickets without manually writing them up.

Watched for 11 days · last checked 8d ago

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