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Arcanist

The background agent that knows your company.

Learns your codebase and tribal knowledge, runs inside your VPC, and ships work your team can trust.

tryarcanist.com

2026Confidential

01 — The Problem

AI made code generation cheap.
It did not make software shipping cheap.

Engineering bandwidth is still the bottleneck between what the business needs and what gets done.

Engineers are maxed out. Backlogs grow. Every other team waits days for engineering to fix bugs, write scripts, or pull a customer answer.

Coding agents add output. Untrusted code only adds review work.

Agent-generated PRs only help once your team can trust they can ship confidently.

What AI promised

Agents that ship code.

Pull requests on demand. Engineering capacity that scales without hiring.

What we got

Agents that draft code.

Untrusted PRs that senior engineers have to QA before anything ships. The bottleneck just shifted.

2026Confidential

02 — The Baseline

The agent factory is
becoming the default.

Top AI-forward companies have converged on a single architecture: agent + sandbox + repo access + the right tools + a path to open a PR.

Give an agent that environment and it turns prompts into candidate code changes. This is quickly becoming the default for AI engineering work.

Every serious team will have this. It still doesn't make the output trustworthy. The bottleneck has moved from "an agent can open a PR" to "the team can trust the PR."

Companies without the layer above this will be slower, more expensive, and structurally out-executed.

01

Prompt

A request from Slack, a ticket, a bug, a teammate.

02

Agent

Plans, edits, and coordinates the work.

03

Sandbox

A live environment for building and running checks.

04

Tools

GitHub, CI, logs, docs, tickets, runtime systems.

05

Candidate PR

A change shows up. Trust decides whether it ships.

2026Confidential

03 — The Compounding Advantage

Verified work requires
company-specific learning.

"Verified" is not generic. Every company has its own conventions, review standards, and definitions of safe-to-ship.

Memory captures how your team ships. Verification filters every agent change before it reaches a human. Leverage compounds as the loop runs.

Your agent gets better without your team maintaining it. Eval loops, sandboxes, and prompts ship with the product. Everything runs inside your VPC, audited end to end.

We start in engineering, where verification is most structured. The same loop carries over to support, ops, and product.

Substrate

Memory

Captures PRs, reviews, fixes, and conventions. Defines what "verified" means at your company.

Mechanism

Verification

End-to-end runs against your standards. Reproduced failures, tests, and citations your team trusts.

Result

Leverage

Verified work in minutes. Capacity that scales without hiring.

2026Confidential

04 — The Product

Tag @arcanist in Slack.
Get work you can ship.

Engineering
# engineering
SP
Engineer 2:14 PM
@arcanist /payments is throwing 500s in prod. Find the root cause and open a PR.
A
Arcanist APP 2:25 PM
PR ready. Reproduced the Stripe webhook timeout in your sandbox, patched the retry path, tests green and screenshots attached. Followed your team's pattern of gating payment changes behind the payments_v2 flag.
Fix payment processing failure
Customer Support
# cx-support
CX
Support Lead 10:22 AM
@arcanist Acme says invoices are failing again. What happened, and what should I tell them?
A
Arcanist APP 10:24 AM
Root cause: billing PR #1842 changed VAT rounding; affects EU customers in Acme's bracket. Logs confirm failures started after that deploy. Drafted Acme reply and opened the engineering fix.
Sourced from logs, Sentry, and PR history.

No new IDE. No new platform. No new tab. Drops into the Slack your team already uses, with the same verification layer underneath.

2026Confidential

05 — Wedge & Surface

Engineering context stops being
trapped inside engineering.

We start in engineering because PRs are the cleanest surface for verification: structured, reviewable, and gated by review.

Every team that needs engineering context gets it directly. One agent and one verification layer underneath, surfaced where each team already works.

The same agent extends to every function in the company: customer issues for support, account replies for sales, scripts for ops, reports for finance.

Agent factory The new operating layer for company execution.
Expansion Motion

Engineer-anchored.
Company-wide.

The CTO buys engineering capacity. Every other team routes verified work through the same agent.

2026Confidential

06 — Team

Built for this problem.

Shivam Pandey

Production AI
from zero to revenue

Employee #1 at Raylu. Built every core AI system solo, 0 to $XM ARR in under a year. Patented ML system at RBC. Sold technical AI systems end-to-end.

Josiah Parappally

High-output
engineering systems

#1 in merged PRs at Ramp by 500+. Fastest intern-to-Staff in Ramp history. Built Ramp for Excel nights and weekends, used by 500+ businesses. 300x average usage of Ramp's internal coding agent.

Met on the first day of 9th grade on the school bus. Best friends since.

2026Confidential

07 — Traction

Live with design partners today.

We forward-deploy with each design partner so the agent learns how their team ships before it opens its first PR.

Workloads stack inside a single deployment. Trust earned in bug triage funds autonomous fixes. Autonomous fixes fund parallel PRs.

Every workload runs on the same memory and verification loop. The agent earns more autonomy each cycle.

01

Bug triage

Find root cause from a Slack report.

02

Autonomous fixes

Open verified PRs ready for review.

03

CI self-healing

Detect and patch flaky tests in place.

04

Parallel PR generation

Multiple changes scoped and shipped at once.

2026Confidential

Arcanist

Engineers ship more.
Every other team stops waiting.

2026Confidential