Ship code faster
The bottleneck is rarely the typing. A change is written in an hour and then sits for a day waiting on a reviewer who’s heads-down on their own work. An alert fires and whoever’s on call spends the first twenty minutes just figuring out what changed and where. Someone new asks “how does billing actually work here?” and the honest answer is “read these four files and good luck.” None of that is hard work. It’s just slow, and it scatters your attention across a dozen places it doesn’t belong.
Skynet closes those gaps by knowing your project the way a senior teammate does. Through the GitHub integration and unified memory, it reads your codebase, your merged PRs, your issues, and your docs — so when it reviews a change, answers a question, or works an incident, it’s reasoning about your system, not a generic one.
Review without the wait
Connect the GitHub integration and Skynet reviews every pull request as it opens. Not a linter pass — an actual read. It flags the logic that looks off, the edge case the diff forgot, the function that already exists three directories over. Because it has the surrounding code and the history of how you’ve built things, its comments land in context instead of nitpicking style a formatter already handles.
This doesn’t replace your reviewers. It clears the runway for them. The obvious stuff is caught before a human looks, so when your teammate opens the PR they’re spending judgment on design and intent — the part that actually needs a person — not hunting for a missing null check.
It can also do the writing nobody volunteers for. Ask it to summarise what a branch changed, or draft the changelog entry from the merged commits, and you get a first pass to edit instead of a blank box to fill.
Answers that know your repo
Drop a question in Chat and get an answer grounded in your actual project. “Where do we validate webhook signatures?” “What broke the last time we touched the migration runner?” “Which services call this endpoint?” Skynet pulls from the codebase, the PRs that changed it, and the docs around it — so new hires get up to speed without booking an hour of a senior engineer’s time, and everyone stops re-deriving the same context.
It knows your repo because you connected it. Memory is built from the sources you point it at — GitHub, your docs, the Slack threads where decisions actually got made — so the answer reflects how your system works today, not how a tutorial says it should.
From alert to handoff
When something breaks, the cost is in the scramble. Skynet runs the triage so the on-call engineer starts halfway up the hill.
Catch the alert
The incident agent picks up the alert and gathers the obvious context: what fired, when, and which recent changes touch the affected service. It pulls the suspect PRs from GitHub instead of making you go find them.
Frame the problem
It writes a tight summary — symptom, blast radius, the changes most likely responsible — and posts it to your incident channel in Slack. The first message in the thread is already useful instead of “investigating.”
Suggest the next move
Grounded in your codebase and past incidents, it proposes where to look and what to check first. You decide what’s right; it just kills the cold-start.
Hand off clean
When the shift changes, the agent writes the handoff: what happened, what’s been tried, what’s still open. The next person on call reads one message instead of scrolling an hour of thread.
Build this once and it’s yours. Describe the triage job in plain language, save it as a custom agent, and run it on demand or on a schedule. No flowchart, no code — and because Skynet takes action in Slack and GitHub directly, the work shows up where your team already lives.
Where this lands
Reviews stop being a queue. Questions stop costing a senior engineer’s afternoon. Incidents start with a brief instead of a blank screen. Your people keep doing the part that needs them — deciding, designing, judging — and hand the lookup, the first read, and the busywork to something that already knows the project.
Frequently asked questions
Yes. The GitHub integration lets Skynet read your repos, pull requests, and issues, and take action — reviewing PRs, posting comments, and drafting summaries — rather than just looking. It pairs with Slack so incident work and review handoffs land where your team already is.
No, and it shouldn't. It does the first pass — catching obvious bugs, missing edge cases, and duplicated code — so your reviewers spend their attention on design and intent. A person still approves and merges. Skynet just makes that person's job faster.
Through unified memory built from the sources you connect: your GitHub repos and PR history, your docs, and the discussions where decisions were made. Its answers and reviews reflect how your system actually works, not a generic example.
Yes. Build a custom incident agent that catches the alert, gathers the recent changes from GitHub, posts a framed summary to Slack, and writes the on-call handoff. It runs the triage; your engineers make the calls.