truemend.sh
Code Quality Audit & Remediation
Deterministic First - Built For AI-Assisted Teams

AI-assisted teams ship code faster.
TrueMend shows what matters
and fixes the safe slice.

TrueMend is a deterministic-first code quality audit and remediation engine. It finds issues, classifies the cheapest reliable fix path, applies the safe fixes automatically, and packages the rest for review.

Live Analysis - vendorForm.tsx
1// anti-pattern: try-catch-rethrow
2async function saveVendor(data) {
3  try {
4    const res = await api(data);
5    return res;
6  } catch (e) {
7    throw e; // flagged
8  }
9}
 
// deterministic fix applied and validated
async function saveVendor(data) {
  const res = await api(data);
  return res;
}
Execution Model
3 remediation tiers
Analyze
local
Deterministic
safe
Review
bound
Validate
proof
Workflow
mcp
Output
brief
0
required LLM calls in analyze
3
remediation tiers
1
quality loop
truemend - What It Is
Confidential
Why Teams Buy

Teams buy TrueMend when they need
a trusted path from findings to action.

See What Matters

Get a codebase-level audit that shows the highest-priority issues, the business risk behind them, and the parts of the system that deserve attention first.

Fix The Safe Slice

Apply mechanical fixes automatically where the change is clear, reversible, and easy to validate. Save human attention for the harder work.

Leave With A Plan

Turn the remaining work into a clear brief for leaders and engineers: what to do next, what can wait, and what requires architecture judgment.

Best fit: teams shipping AI-assisted code who need evidence, safe fixes, and a clearer remediation path than PR comments alone can provide.

© 2026 truemend
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truemend - The Problem
Confidential

Code generation accelerated.
Review and remediation did not.

Teams using AI coding tools are not only shipping more code. They are taking on review and remediation debt faster than existing workflows were built to handle.

More output
AI coding tools increase throughput. That part is working. More code reaches the repo faster than before.
Same review
Human review bandwidth did not scale at the same rate. Teams still need to decide what matters and what is safe to change.
No fix model
Most tools either detect, comment, or guess. Few tell a team which issues are free, which are bounded, and which require architecture decisions.

TrueMend is designed for buyers who want a codebase-level answer, not just another stream of review comments.

01
Audit the whole codebase
Find what matters across the codebase, not only inside the latest diff.
02
Apply the safe slice
Use deterministic fixes where reliability is high and validation is automatic.
03
Route the rest intelligently
Make the remaining work legible: bounded refactor, or human decision.
Best Fit
Technical audits strong
Improvement sprints strong
AI-assisted teams strong
Security-first tooling complementary
TrueMend is strongest when sold as audit, prioritization, and remediation for AI-assisted codebases.
TrueMend closes the loop from evidence to safe change, without pretending every issue should be handed to an LLM.
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truemend - How It Works
Confidential

Detection matters.
Remediation strategy matters more.

Static analyzers detect and stop. Review bots comment and stop. TrueMend classifies every issue by the cheapest reliable way to resolve it, then validates the result before it becomes part of the codebase story.

That gives teams a cleaner trust model: deterministic where possible, bounded when needed, and human decision where judgment belongs.

Deterministic Mechanical transform with one correct outcome local
Cataloged Named refactor executed inside clear bounds bounded
Structural Architectural choice framed for a human decision-maker advisory

01
Analyze
deterministic
02
Route
by fix type
03
Apply Safe Fixes
validated
04
Review Bounded Work
optional LLM
05
Refactor
constrained
06
Validate
proof
07
Report
roadmap

The analyzer stays deterministic. Judgment enters only where it adds value.


Tier Buyer Promise What actually changes Trust Model
Deterministic Safe Mechanical transforms apply automatically and validate before they land. highest
Cataloged Refactor Bounded Named procedure with explicit target, expected outcome, and validation step. medium
Structural Advisory TrueMend frames the decision and options, but a human still decides the architecture change. human
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truemend - Deliverable
Confidential

A report that tells you
exactly what to do next.

Every engagement produces a technical brief that explains what was found, why it matters, which remediation path applies, and what the expected improvement should be.

The goal is not more noise. The goal is an evidence-backed work plan a leader can prioritize and an engineer can execute.

Severity
clear
Evidence
local
Fix Path
tiered
Validation
yes
ROI
framed
Roadmap
next
Ideal Outcome
audit -> action

TrueMend complements review and security tools.
It is strongest in a different part of the workflow.

Technical audit: inherited codebases, due diligence, stabilization work, AI-generated debt reviews.
Improvement sprint: teams that want safe mechanical fixes applied and bounded refactors framed clearly.
Workflow support: teams that want recurring quality reviews inside CI or AI-assisted development workflows.
Security-first replacement: TrueMend should complement security tooling, not pretend to replace it.
PR comment bot: TrueMend is stronger as a codebase-level audit and remediation workflow than as a narrow diff reviewer.
Unbounded autofix: TrueMend is built around deterministic fixes, bounded refactors, and human judgment where architecture is at stake.
TrueMend is strongest at audit, prioritization, remediation routing, and validated improvement.
© 2026 truemend
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truemend - Sample Finding
Confidential

Every finding is a brief,
not a complaint.

TrueMend does not stop at rule violations. Each finding explains the issue, the risk, the remediation path, and the validation story in one place.

Finding #4 of 18 - High
Nested payment orchestration - processPayment()
Cataloged Refactor
What We Found

The function mixes retry logic, gateway branching, logging, and result normalization in one body. A future change to any one concern risks touching all of them.

Evidence
Cyclomatic complexity 16 (threshold: 10)
Max nesting depth 5 (threshold: 3)
Line count 79 (threshold: 30)
Fix path bounded refactor
Validation plan typecheck + test suite
Why It Matters

The risk is not only local complexity. This function sits on a payment boundary. Small changes become expensive because regression confidence is low and blast radius is unclear.

Recommended Fix
Extract Method -> handleGatewayRetry()
Pull the retry block into a dedicated function and isolate normalization from gateway branching. Expected effect: lower complexity, clearer test boundaries, and easier change review.
Expected Improvement
high
risk today
->
lower
after fix
clearer
test boundary
payments/processor.tslines 41-119
Dimension: Logic Clarity
Validation: tsc yes tests yes
Leaders
See priority, business risk, and the right remediation path.
Engineers
See evidence, location, fix advice, and a validation story.
Consulting Buyers
Get a brief that feels more rigorous than opinion and more useful than a rules dump.
© 2026 truemend
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truemend - Engagements
Confidential

Three engagement tiers.
One clear outcome each.

Choose based on what you need: a scorecard and roadmap, applied improvements with measured validation, or continuous quality monitoring embedded in your workflow.

Tier 1
Audit
scorecard + roadmap
Quality scorecard
Priority findings with evidence
Deterministic / bounded / structural map
Phased improvement roadmap
Leadership-ready report
Best For
Due diligence, inherited codebases, AI debt visibility, pre-sprint planning.
Tier 3
Embedded Quality Partner
ongoing workflow
Recurring audits and trend review
CI or MCP workflow setup
Quarterly deep dives
Standards and claim hardening
Support for structural decisions
Best For
Teams standardizing quality in an AI-assisted development workflow.
Data Sovereignty
Your code stays in your environment.
TrueMend runs locally or inside your own infrastructure.
LLM use stays in the buyer's toolchain and account model.
Air-gap and regulated-environment positioning available.
Add-On Tracks
UX Quality Audit
Accessibility, loading states, mobile UX, and component design issues packaged for product and design teams.
Workflow Enablement
Support for integrating TrueMend into CI, MCP workflows, and ongoing team quality practices.
Most engagements start with a scoping call. We review the stack, estimate the codebase surface area, and recommend the right audit or sprint shape.
To get started
1.Share the repo, stack, and engagement goal.
2.Receive a scoped recommendation and proposed engagement path.
3.Start with the audit and move into validated improvement work if needed.
Contact
truemend.sh
hello@truemend.sh
Confidential pricing and scoped recommendations available on request.
© 2026 truemend
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