Forward Future Tools Library
CodeAgent Ledger
CodeAgent Ledger turns GitHub pull requests and AI agent runs into reviewable evidence records for engineering teams, software vendors, security owners, and compliance reviewers.
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codeagentledger.space·From $24.50/mo Billed annually as $294·Checked 2026-09-29
›What is CodeAgent Ledger?
CodeAgent Ledger connects GitHub pull requests with AI agent run logs and builds a PR-centered audit record. It attributes file changes to humans, agents, sub-agents, and automated fixes, then links risky files to tests, reviews, approvals, and failed-test overrides. Teams can export incident packs, compliance reports, rollback notes, and customer Q&A.
›What are the pros and cons of CodeAgent Ledger?
Strengths
Combines pull request context and agent run records in one audit surface
Separates human and automated ownership at file level
Covers six risk classes, including auth, payment, PII, infrastructure, secrets, and legal changes
Binds CI, lint, review, and manual approval evidence to risky files
Provides exports for incident response, compliance, and customer questionnaires
Trade-offs
It adds accountability to human review but does not replace human code review
Live PR evidence generation is unlocked only after checkout
The workflow depends on connecting GitHub pull requests and the agent run logs a team already uses
API and queue jobs are limited to the Org plan
The default Team checkout uses annual billing
›What are CodeAgent Ledger’s key features?
File-level attribution for human, agent, sub-agent, and auto-fix changes
Risk flags for auth, payment, PII, infrastructure, secrets, and legal-page changes
Evidence links for CI, lint, security review, code review, manual sign-off, and failed-test overrides
Approval and override chains showing who authorized the agent, merged the change, or overrode a failed test
PR-centered audit timeline with attribution, test proof, and merge risk
Exports for incident packs, compliance reports, rollback notes, and vendor or client questionnaires
›What are the best use cases for CodeAgent Ledger?
Review AI-generated pull requests before merging risky changes
Track which files were changed by a human, agent, sub-agent, or automated repair
Require test, review, and manual sign-off evidence for sensitive files
Provide clients and vendors with a consistent record of AI coding activity
Create incident packs containing impacted files, user-visible changes, and rollback steps
›What is the pricing for CodeAgent Ledger?
| Plan | Price | Details |
|---|---|---|
| Solo | $24.50/mo Billed annually as $294 | Covers 5 repos with AI attribution, risk file flags, CI and lint evidence links, and monthly incident pack export. |
| Team | $99.50/mo Billed annually as $1,194 | Covers 50 repos and adds audit exports, reviewer and override chains, and a vendor and client questionnaire builder. |
| Org | $299.50/mo Billed annually as $3,594 | Covers 300 repos and adds API and queue jobs, custom sensitive-change policy, priority support, and evidence retention controls. |
Annual billing is 50% lower than monthly billing. Monthly prices before the annual discount are $49 for Solo, $199 for Team, and $599 for Org.
Checked 2026-09-29 · source
›Who is CodeAgent Ledger best for?
developersUseful when AI-generated pull requests need file attribution, risk flags, and evidence before merge.
small teamTeam provides a shared approval and override record for groups shipping agent-assisted pull requests across up to 50 repos.
enterpriseOrg suits platform, security, and compliance teams that need coverage across 300 repos, API access, and custom sensitive-change policies.
software vendorsA fit for outsourcing companies that need client-safe AI coding evidence and repeatable questionnaire responses.
Not for
- Teams looking for an autonomous replacement for human code review should skip it.
- Teams that do not use GitHub pull requests or maintain AI agent run logs will not match its workflow.
- Buyers seeking a free or self-contained audit tool should look elsewhere because the listed plans are paid and evidence generation requires checkout.
