made a video demoing a bunch of
@Macroscope's features:
- get an automated, real-time view of your product development — how is the product changing, where is engineering focus allocated. an executive summary of product changes based purely on codebase activity and context from
@linear /
@Jira.
- understand your engineering team's output in aggregate and broken down by individual IC. we estimate coding time per commit so you can see the multiplicative effect of AI tools. beyond token spend, see how much code is actually getting landed across your devs and your autonomous agents (
@cursor_ai,
@DevinAI, etc).
- our Agent acts as an always-on teammate in Slack — ask questions about your codebase, product, or team activity. it can also take actions: fix bugs, create PRs, generate architecture diagrams, pull analytics from PostHog, query BigQuery, and more. native integrations with Linear, Sentry, LaunchDarkly, PostHog, GCP, and the MCP ecosystem.
- set up Macros to automate SDLC chores and workflows: one of ours scans Google Cloud production logs daily, clusters similar issues, identifies root causes, creates PRs with fixes, and tags the relevant engineer. all on autopilot.
- subscribe Slack channels to get automatic commit and PR summaries. one slash command and you've got a real-time feed of what's shipping — with plain-English summaries legible to anyone, not just engineers.