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AI writes the vulnerability. Heeler ships the deterministic fix.
Finding the SQL injection is the easy part. Heeler writes the fix, proves it in your build, and opens a merge-ready pull request — a deterministic code change, not an LLM's best guess. The bug your agent wrote, closed before it ships.
A finding is not a fix.
Every SAST tool is good at pointing. Then a human still has to write the fix — while AI generates new vulnerabilities faster than the backlog can drain. Detection was never the bottleneck. Remediation is.
Scanners point, then stop
Traditional SAST hands you a severity, a line number, and a link. The vulnerability is still there — now it's a ticket, not a fix.
Someone still hand-writes the patch
Fixing a taint bug means tracing the flow from source to sink and rewriting it safely. That expertise is scarce — and it doesn't scale to thousands of findings.
AI writes bugs faster than you fix them
Coding agents produce vulnerable patterns — string-built SQL, unescaped output, unsafe file paths — at machine speed. Hand-remediation was already behind. Now it's lapped.
From taint path to merged PR.
Heeler already knows the vulnerability cold — the exact source-to-sink path, the fix strategy, and a before/after, all computed at scan time. Auto-fix turns that into a validated pull request.
The fix is computed, not hallucinated.
Heeler doesn't ask a model to invent a patch. Its analysis matches a proven remediation strategy to the exact dataflow and carries a confidence score, so the agent applies a known-good transform — reproducibly, the same fix every time. That's the difference from AI fixers that guess: high-confidence classes are fixed automatically; complex or architectural findings get precise guidance instead of a risky PR.
A proven transform for the flaws AI writes most.
Every fixable finding maps to a specific, deterministic code transform — chosen from the vulnerability class and anchored to the exact source-to-sink path. The same bug always gets the same safe fix.
High-confidence classes are fixed automatically. Findings that need an architectural change — an auth redesign, unsafe deserialization — get precise guidance instead of a risky PR. You're never handed a fix Heeler isn't sure of.
Fix what's exploitable, first.
Auto-fix runs where it matters most. Heeler traces each finding's reachability — cross-file, cross-function, from source to sink — then weighs runtime exposure, business tier, and active-exploit intelligence. What's genuinely exploitable gets fixed first; the rest is tracked, not ignored. Every SAST finding lands on one level: Urgent, Plan, or Defer.
See how Heeler Risk scores SAST findings →Heeler fixes the code you import, too.
You've just seen how Heeler fixes the code your team and your agents write. Its other half — SCA Auto-fix — fixes the code you import: it computes, from your dependency graph and live CVE data, the lowest-impact version upgrade that clears the CVEs and adds none, then validates it and opens the same merge-ready PR. One context engine, one prioritization model, one workflow — across both halves of your codebase.
Explore SCA Auto-fix →See Heeler fix your code.
Connect a repo and watch Heeler turn its own SAST findings into validated, merge-ready pull requests — on your code, in your first session.
