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Arcanist

Coding agents write code.
Arcanist ships software you can trust.

On-demand engineering leverage that learns how your company works.

Tested end-to-end. Fixed through failures. Ready to ship.

tryarcanist.com

2026Confidential

02 - 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 actually gets done.

Engineers are maxed out, backlogs keep growing, and non-technical teams wait on engineering for answers, fixes, scripts, and workflow changes.

Coding agents increase output, but untrusted code just creates more review work.

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

2026Confidential

03 - The Product

Tag @arcanist in Slack.
Get a ship-ready PR.

Describe what you need in plain English. Arcanist does the full loop: reads the codebase, checks the relevant tools, writes the change, runs it end-to-end in your environment, fixes failures, and opens a PR with the evidence your team needs to ship.

It works where your team already works.

  • No new IDE.
  • No new platform.
  • No new tab.
# engineering
SP
Engineer 2:14 PM
@arcanist Checkout is throwing 500s on /payments. Pull Sentry, find the root cause, and open a PR.
A
Arcanist APP 2:17 PM
PR ready. CI passing. Failure reproduced and fix verified.
Fix payment processing failure
2026Confidential

04 - The Baseline

The software factory is
becoming obvious.

Give an agent tools, a sandbox, repo access, and a path to open PRs. That turns prompts into candidate code changes.

This is quickly becoming the default architecture for AI engineering work.

But the factory only matters if the output is trusted enough to ship.

The software factory is necessary. It is not sufficient. The bottleneck is moving from "agent can open a PR" to "team can trust the PR."

01

Prompt

A task starts from Slack, a ticket, a bug report, or a teammate.

02

Agent

The model plans, edits, and coordinates the work.

03

Sandbox

A live environment gives the agent room to build and run checks.

04

Tools

GitHub, CI, logs, docs, tickets, and runtime systems provide context.

05

Candidate PR

The agent opens a change. Trust determines whether it ships.

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05 - The Difference

Verified work requires
company-specific learning.

The hard part is the learning factory behind it. Every company has different CI failures, review standards, deploy rituals, ownership boundaries, and definitions of safe-to-ship.

Arcanist turns every run, test, failure, review, and fix into company-specific signal so the next piece of work is easier to trust.

We start forward-deployed to map the first workflows, then productize repeated patterns into company-specific verification memory.

Generic agents follow instructions. Arcanist learns the patterns, standards, and judgment behind great work at your company.

01

Quality loops that improve ship confidence

Track what lands, where agents fail, and what evidence makes engineers comfortable shipping.

02

Execution infrastructure built as a product

Reproduce the app, run the right checks, inspect failures, and recover through frontend/backend issues.

03

Continual self-learning

Turn tests, failures, reviews, conventions, and fixes into better future runs.

04

Verification before handoff

Return work that has already survived the checks your team trusts.

05

Your agent gets better without your team maintaining it

Get compounding agent quality without assigning engineers to maintain evals, prompts, sandboxes, and harnesses full-time.

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06 - The Bridge

Engineering context stops being
trapped inside engineering.

A CX person asks what is happening with a customer bug. Arcanist checks the codebase, Sentry, logs, tickets, docs, and recent changes, then returns the full resolution story with sources and next steps.

What used to take days of escalation now takes minutes.

CX, ops, product, and sales get engineering-grade answers without filing a ticket.

# 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 found. A billing deploy changed tax rounding for Acme's region. Sentry shows the failure started after PR #1842; logs confirm invoices with EU VAT are affected.
Drafted customer summary and opened an engineering fix.
2026Confidential

09 - Market & Business

AI-native companies will
run agent factories.

Arcanist is not just a developer tool. Engineering is the wedge because pull requests are structured, reviewable, and verifiable.

In the AI-native company, work routes to trained agents that understand company context, verify outcomes, and compound with every run.

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

Agent factory The new operating layer for company execution
Expansion Motion

Engineer first,
company-wide next

The CTO buys trusted engineering capacity. Usage expands as CX, ops, product, and sales route verified work through Arcanist.

2026Confidential

Arcanist

Engineers ship more.
Every other team stops waiting.

Excited? Find us at shivam@tryarcanist.com and josiah@tryarcanist.com.

tryarcanist.com

2026Confidential