Background Coding Agents

Your coding agent writes code.
Arcanist ships software.

Describe what you need in Slack. Get PRs that pass your CI, follow your conventions, and are ready to merge.

Book a demo

"Arcanist actually passes our CI on the first try." — Head of Engineering, Series C fintech

#engineering

Shivam Pandey2:14 PM

@arcanist checkout flow is throwing 500s on /payments. Can you pull the Sentry errors, find the root cause, and open a PR with the fix?

ArcanistAPP2:14 PM

On it. Pulling Sentry errors for /payments...

Found it — null pointer in stripe_handler.py:142. Opening PR now.

ArcanistAPP2:17 PM

PR #847 ready for review. CI passing.

Fix null check in payment processing

"We went from mass-reviewing agent PRs to mass-merging them. Arcanist actually passes our CI on the first try." Jordan M., Head of Engineering — Series C fintech

"I submit a morning's worth of bugs before standup and review results by lunch. I used to context-switch between two tasks." Priya S., Senior Engineer — Series A SaaS

"Our CX team stopped filing engineering tickets for customer investigations. They ask in Slack and get the full story in minutes." Alex T., CTO — Seed-stage B2B

Submit in Slack. Get merge-ready PRs.

Describe what you need in plain English, right where your team already works. Arcanist works in the background — reads your codebase, queries Sentry, understands your CI, writes code, runs tests, fixes failures, and opens a PR ready for review. No new IDE. No new platform. No new tab.

GitHubSentryDatadogLinearSlackCI/CD

Connect

Link your GitHub repos, Slack workspace, and tools — Sentry, Datadog, Linear, your CI.

Describe

Tag @arcanist in any Slack channel with what you need done. Plain English. No templates.

Ship

Review the PR. Merge. If CI fails, the agent reads the logs, fixes the issue, and re-pushes.

Run dozens of tasks in parallel.

Stop context-switching between two or three threads. Submit as many tasks as you want — each runs in its own isolated cloud environment. Bug fixes, feature work, and investigations, all running simultaneously. The bottleneck shifts from your compute to your supervisory capacity.

Fix null check in payments

Add rate limiting to /upload

Update onboarding flow copy

Investigate flaky test in auth

Add retry logic to webhooks

Migrate user schema v3

Every team stops waiting on engineering.

Once Arcanist understands your company, it's not just engineers who benefit. CX asks about a customer bug in Slack and gets the full story — code, logs, recent changes, related incidents — in minutes instead of days. Engineering outcomes without engineering tickets.

#cx-escalations

Katie Rodriguez10:22 AM

@arcanist Customer acme-corp is reporting their webhook deliveries are failing since yesterday. Can you investigate?

ArcanistAPP10:23 AM

Investigating. Checking codebase, Sentry, deploy history, and Datadog logs...

Found it. Yesterday's deploy (PR #831) changed the webhook retry logic. The new retry backoff is exceeding acme-corp's timeout window of 5s. Three options:

Revert the retry change for their endpoint
Increase their timeout configuration
Add a fast-path for webhooks under 5s

Katie Rodriguez10:25 AM

That's exactly what we needed. Can you open a PR for option 3?

ArcanistAPP10:26 AM

PR #852 ready. Adds a fast-path for webhook deliveries under the configured timeout. CI passing.

Add fast-path for short-timeout webhooks

FAQ

How is this different from other coding agents?

Most coding agents write code. Arcanist ships software. The difference is everything around the code — your CI pipeline, naming conventions, deploy process, and test patterns. We learn what's specific to your company and produce PRs that actually pass your CI and follow your standards.

Is this safe for production codebases?

Every task runs in an isolated cloud sandbox. The agent creates PRs on feature branches — you review and merge, same as you would from any engineer. Sensitive files are automatically blocked.

How does Arcanist learn our environment?

From the first task, Arcanist reads your code, CI configuration, test patterns, and commit history. Over time it learns your conventions, common failure modes, and architecture decisions. Every task compounds this knowledge.

What if the agent gets something wrong?

Same thing that happens when an engineer does — code review catches it. Every PR also gets independent AI quality evaluation before you see it. And if CI fails, the agent reads the logs, fixes the issue, and re-pushes.

Your coding agent writes code.Arcanist ships software.