Evidence, connected.

Hours a day babysitting your coding agent?

Prevent Claude Code’s mistakes automatically.

Better decisions at every step, using fresh field evidence from 135,940 builders.

Read-only. Code, paths, and history stay on your machine.

What Dorsal prevents

For each: looks like · costs · with Dorsal

  1. Wrong Product

    Users don’t want it

    A failed project

    Users

  2. Bad Design

    Works sometimes

    A rewrite

    A solid design

  3. Stale Integrations

    Last month’s API

    A broken build

    This month’s API, dated

  4. Faulty Code

    A stream of bugs

    Days of rework

    Fixes with evidence

  5. Silent Failures

    Reports success, fails

    Lost users

    User trust

Proof · a real build

One product, checked at every step.

A Dorsal customer was planning an AI sales coach for enterprise reps. Dorsal showed what had already shipped, where the open space was, and what breaks in production.

Each finding prevents one of the five mistakes above.

Quoted from the report.

Dorsal field evidence · AI sales coach · 2026-09-29

209

Dorsal calls

3 of 7

deal stages already shipped

4 days

age of the newest source

The deal-side workflow has already shipped. Coaching the rep’s own skills is the open space.

Salesforce reports 7,000 of its own sellers use it.

claude.com · 2026-09-15 · prevents Wrong Product

Start with one agent that proposes and waits for approval.

“Anything that changes customer-facing communication or a system of record gets staged for approval.”

reddit r/AI_Agents · 2026-08-03 · prevents Bad Design

Connect as the rep, so Salesforce enforces field and sharing rules.

Salesforce Hosted MCP tools run with the connected user’s permissions: object CRUD, field-level security, sharing rules and permission sets all apply.

developer.salesforce.com · 2026-09-16 · prevents Stale Integrations

Empty fields are where extraction invents things: Claude was about 90% accurate where a value existed but 60% overall because of 30% false positives on missing values.

The same risk applies to empty MEDDPICC fields.

Claude Discord · 2026-05-13 · prevents Faulty Code

Evals must follow the sales goal.

A leasing agent politely ended the call on “out of budget”, and “To most agents, this looks like a success”.

Lenny’s Newsletter · 2026-09-22 · prevents Silent Failures

Every finding links to its source and its Dorsal record.

Two steps, about a minute

Install Dorsal

Claude Code checks Dorsal before each major decision.

  1. 1

    Connect Dorsal to Claude Code

    One command, read-only, no account. The token is already in it.

    Read-only. Your data stays local.
    Run this in your terminal
    Preparing your secure install command…

    Preparing a temporary read-only token for the complete command…

    On your phone? Send the command to your inbox for later.

  2. 2

    Tell Claude Code when to use it

    Paste this into ~/.claude/CLAUDE.md for all your projects, or into one project’s CLAUDE.md. On Codex, use AGENTS.md.

    Add to CLAUDE.md
    ## Dorsal
Before you commit to a decision at any of these steps, check it against Dorsal:
- Product: what to build, and what others already shipped
- Architecture: the design, stack, libraries and data model
- Integrations: the current version of each API, SDK, library and model
- Code: known failures of the libraries you touch
- Production: how similar systems fail silently, and how they caught it
Cite the dated records you used. If Dorsal has nothing relevant, say so and go on.
Send Dorsal general questions only. Never code, file paths or secrets.

    Then restart Claude Code. It loads both at startup.

Three skills

Run a full check on a PR or a whole repo.

Optional, and each needs step 1. Unzip one into ~/.claude/skills or run its install command, then restart Claude Code.

pr-fix2

Fix a pull request

Every major bug reproduced on the PR branch, fixed, and its proof re-run. Design upgrades backed by field evidence, offered and never applied for you. Nothing pushed.

Needs gh, python3 and node.

Install
curl -fsSL https://godorsal.com/downloads/dorsal-pr-fix2-skill.zip -o /tmp/dorsal-pr-fix2-skill.zip && unzip -oq /tmp/dorsal-pr-fix2-skill.zip -d ~/.claude/skills

Then, in Claude Code

/pr-fix2 <repo-path> <PR number>

Download pr-fix2

design-review

Review the design of a whole repo

Finds the design choices a repository made, stated and silent, starting from what the product is for. Checks each against the Dorsal graph: Confirmed, Holds for now, Better option, or No Dorsal data.

About 25 minutes and 2 to 3 million tokens.

Install
curl -fsSL https://godorsal.com/downloads/dorsal-design-review-skill.zip -o /tmp/dorsal-design-review-skill.zip && unzip -oq /tmp/dorsal-design-review-skill.zip -d ~/.claude/skills

Then, in Claude Code

/design-review <repo-path>

Download design-review

bug-sweep

Find the bugs in a whole repo

Reads every tracked file. Six reviewers hold the whole codebase at once and hunt Critical and High defects, the third-party seam included. Every finding reproduced before it is graded.

About 25 minutes and 2 to 3 million tokens.

Install
curl -fsSL https://godorsal.com/downloads/dorsal-bug-sweep-skill.zip -o /tmp/dorsal-bug-sweep-skill.zip && unzip -oq /tmp/dorsal-bug-sweep-skill.zip -d ~/.claude/skills

Then, in Claude Code

/bug-sweep <repo-path>

Download bug-sweep

The spec

What a check runs on, measured

Ranked by what matters most in a check. Independence first.

LLMs between the record and Claude Code

Zero

Retrieval is deterministic. Claude Code does the judging, with your project context.

Claims that open to a source

100%

Every record links to its origin and carries its date. When the graph has nothing, Dorsal says "no record found" instead of guessing.

Freshness

24h

The graph updates daily. The date is on every record.

Records Claude Code can check

464,896

What 135,940 AI builders shipped, broke, and fixed. Sources include GitHub, official docs, arXiv, Discord, and Hacker News.

Cost of the PR #29 fix

176k tokens

2 High bugs found, reproduced, fixed on a branch and verified by a second agent, in 12.9 minutes. The web-search version of one review burned 5.4M.

Inspect the data

A live sample from the graph the skills query.

237,827

GitHub releases, PRs, issues, and more

209,327

Official Docs

224,204

abstracts from Reddit, Discord, YouTube, X, arXiv, Hacker News, and more

Or just ask it something

Two steps. About a minute.

Read-only. Code, paths, and history stay on your machine.