CodeShield · The Thornless Engine

Your scanner finds.
CodeShield fixes.

CodeShield takes in the SARIF, fixes the findings, validates the code, and delivers one pull request ready for review.

Semgrep · SonarQube · Snyk · Trivy · Checkmarx. BYOK: your LLM key, no lock-in.

Step 01 · SARIF ingestion

An autonomous pipeline that fixes the whole scan.

The scanner report comes in, and every finding is identified and grouped by severity. None are ignored: the engine prioritizes the critical ones and queues the rest.

sarif received        scan-1024
findings              47
critical              3
high                  11
medium                19
low                   14
queue                 prioritized ✓

Step 02 · Developer

CodeShield pulls every thorn.

Every finding is fixed inside an isolated sandbox, in severity order. The agent understands the repository context, applies the patch, and runs the project's own tests before moving on.

isolated sandbox
build executed
repository tests green

Step 03 · Auditor

The Auditor lets nothing slip.

A second agent reviews every fix round before it moves forward. A fix that breaks a test or drifts out of scope is rejected and sent back to the Developer. Approved, it moves on. Nothing ships without review.

It's review before your review.

Step 04 · Delivery

One single pull request.

47findings

31files

1pull request

✓all checks passed

The machine fixes the repetitive work. Humans decide what ships.

Talk to us

No need to switch tools. If your scanner outputs SARIF, CodeShield handles it.

Semgrep

The problem nobody wants to face

Companies are sitting on 4,000+ findings.

Every scanner does the same job well: finding problems. None of them fix anything. The result is familiar: a security and quality backlog that only grows, sprint after sprint, while the roadmap keeps winning the fight for priority.

And the cost of that backlog is invisible until it isn't. Every idle finding is accumulated risk, a harder audit, a certification pushed further away. And when the call finally comes from the top, "clean this up", the bill arrives all at once: months of senior engineering doing the most repetitive, soul-draining work there is.

Real-world backlog

4,000+

findings piled up in the security and quality backlogs of mid-size and large companies.

SAST · SCA · the daily reality of backlogs

The backlog never shrinks.

Each release adds more findings than the team can close.

Expensive engineers, repetitive work.

Triage, context, patch, review, retest. On a loop. Thousands of times.

The roadmap pays the bill.

Every hour spent on a finding is a feature that didn't ship.

Coverage

Vulnerability classes CodeShield fixes.

sql-injectioncritical

Parameterized queries instead of concatenated input.

exposed-secretcritical

Secrets removed from code and moved to secure configuration.

xsshigh

Escaped output and sanitization at render points.

path-traversalhigh

Normalization and validation of user-supplied paths.

dependency-cvemedium

Vulnerable dependencies upgraded with the tests running.

+3,000 classesfull coverage

And every other class your scanner reports in the SARIF, from critical to low.

Run the numbers

What does it cost to fix 4,000 findings by hand?

A conservative estimate: every finding fixed manually burns 30 to 60 minutes of engineering across triage, context, the fix itself, code review, and retesting. Multiply that by your backlog.

4,000findings 30 to 60minutes 2,000 to 4,000hours

codeshield · backlog estimate diagnostic

Backlog analyzed 4,000 findings

Estimated time 2,000 to 4,000 hours

Timeline with 2 devs 12 to 24 months

Estimated cost $150k to $600k

basis: 30 to 60 min per finding · $75 to $150 per hour of fully loaded senior engineering

30 to 60 min per finding fixed manually

2,000 to 4,000 hours of engineering for a 4,000-finding backlog

12 to 24 months for a dedicated team of 2 devs

$150k to $600k in direct cost, at $75 to $150 per hour of fully loaded senior engineering

The cost that never shows up in a spreadsheet

And that's just the direct cost. While your best team scrubs the backlog, the features that would drive revenue keep waiting. That opportunity cost never makes it into any spreadsheet.

Criterion Manual remediation The efficient pathCodeShield

Time to clear 4,000 findings 12 to 24 monthsfor a dedicated team of 2 devs Days

Cost $150k to $600kin engineering hours A fraction of thatyou bring your own LLM key, with a per-task budget cap (e.g. $25)

Team morale Repetitive workmonths of tasks nobody wants to do PRs ready for reviewyour team reviews and gets back to the roadmap

Regression risk Manual disciplineacross thousands of fixes Tests + Auditorthe repository's full test suite runs on every round, with an Auditor reviewing every fix

Coverage Critical onlythe rest waits for later Every findingin severity order

Opportunity cost Roadmap on holdwhile the backlog gets paid down Roadmap keeps moving

The question isn't whether you can afford CodeShield.

It's whether you can keep paying for the backlog the way you do today.

Talk to us and run the numbers with your own data

From backlog to merge

Three steps to your first clean PR.

A conversation, not a signup.

You talk to us and walk us through your scenario: scanner, stack, backlog size. We run the diagnosis together and design a pilot around your numbers.

We plug into your workflow.

We connect CodeShield to your pipeline: your SARIF report comes in, your LLM key is configured, guardrails and per-task budgets are set. In CodeShield's cloud or self-hosted on your infra.

PRs coming in, your team approving.

The agents fix findings in severity order, run your tests, and open one clean pull request per task. A human reviews, a human approves, nothing lands without your merge.

Start with a conversation

How CodeShield actually fixes

Two agents. One clean PR.

CodeShield isn't autocomplete on steroids. It's a remediation pipeline with separation of duties, just like a real team.

01
Developer
Fixes every finding in the report, in severity order, inside an isolated sandbox. It understands the repository context, applies the patch, and runs the project's own tests.
02
Auditor
Reviews every fix round before it moves forward. A fix that breaks a test or drifts out of scope doesn't pass. It's review before your review.
03
One single pull request
No flood of 400 PRs clogging your repository. All the work arrives consolidated in one clean PR, with a readable diff, ready for human review.

Every finding. Your tests. One PR. Your merge.

github · pull request open

Open

fix: resolve 47 static-analysis findings

codeshield/scan-1024 → main · 1 commit · 31 files

3 critical · sql-injection fixed
11 high · xss and path-traversal fixed
19 medium · configuration hardened
14 low · code smells resolved

All checks passed

build · tests · auditor approved

Signed webhook delivered · HMAC-SHA256

Built to pass your security review

Autonomy with governance, not faith.

Automation in production code demands control. CodeShield was designed so your security team can say yes.

A human approves the merge.

Always. CodeShield proposes, your team decides. Nothing reaches production without human review.

Isolated sandbox.

Every task runs in an isolated environment, with guardrails that limit exactly what the agents can touch.

BYOK, no lock-in.

Your LLM key, whichever provider you choose. Your code never depends on a model of ours.

Budget under control.

A cost cap per task (e.g. $25). Fully predictable spend, no surprises on your LLM bill.

Self-hosted, optional.

Docker Compose on your infra, on-prem. Your code never has to leave your perimeter.

Signed webhooks.

Every integration signed with HMAC. Verifiable end to end.