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Fairlead FixAvailable

Bug fixing

Root-cause fixes, not stack traces.

Context and telemetry flow into an agentic engine that finds the root cause and writes both the fix and the reproduction tests, shipped as a PR/MR. Developers shift from firefighting to building.

Join the waitlistRun the numbers
Example: tracing a failure to code
GATEWAYORDERSUSERSλ PRICINGCARTCRMERPDBλ NOTIFYTOTALBROWSERuserscart7f3aordersdbpricing7f3aerpcart7f3anotifydbA LOGSB SEQUENCEGATEWAYCARTPRICINGtotal()quote(sku)C CODEcart/checkout.tsfunction total(items)sum += quote(i.sku)pricing/quote.pydef quote(sku):return cents / 100

Illustrative example: request identifiers connect a failed call to logs and source code. Requires configured telemetry.

Less developer time on bugs
~68%
1-year ROI vs manual
159%
Saved on bug fixing each month (11-dev team)
~$32K
Saved per bug
$562

How it works

Where the bug comes fromfairleadRECORDERthe ticket, with its session bundleFailed end-to-end testtriaged, filed with its test resultsConfigured requests carry x-fairlead-* headers retained in server logsfairleadFIXYour teamDescribethe filed bugLocaterequests and logsExplainthe root causeReproducetest(cart)Fixfix(cart)DeliverPR/MR per serviceThe new testfailspassesAvailable testspassespassesa failed check goes backto the test or the fixstill redcannot tellwhere it brokeUnresolved: hands over its findingsReviewPR/MR per serviceThe fixacross the files it touchesReproduction testsfail before, pass afterthen mergeInvestigatereport or MCPFindings so farlikely causes, affected codeRaw evidencerequests, logs, test runsin your IDE or agent
Illustrative workflow. If the bug remains unresolved, your team receives the findings and evidence.
Where the bug comes fromfairleadRECORDERthe ticket, with its session bundleFailed end-to-end testtriaged, filed with its test resultsConfigured requests carry x-fairlead-*headers retained in server logsfairleadFIXDescribethe filed bugLocaterequests and logsExplainthe root causeReproducetest(cart)Available testspassesThe new testfailsFixfix(cart)The new testpassesAvailable testspassesDeliverPR/MR per servicea failed checkgoes back tothe test orthe fixcannot tell whereUnresolvedhands overits findingsYour teamReviewPR/MR per serviceThe fixacross the files it touchesReproduction testsfail before, pass afterthen mergeInvestigatereport or MCPFindings so farlikely causesRaw evidencerequests, logsin IDE or agent
Illustrative workflow. If the bug remains unresolved, your team receives the findings and evidence.
  • Connect your repository, build environment and telemetry before running Fix.
  • To link browser requests to backend logs, enable correlation headers and retain them in server logs.

What Fairlead Fix does

  • Context & telemetry ingestion

    Tickets, source, logs, traces, and a user-reproduced session are captured at both client and server levels.

  • Agentic root-cause analysis

    The core agent platform explores the failure and pinpoints the single root cause, not just a stack trace.

  • Fix + reproduction tests

    Generates the code fix and the reproduction tests together, so the bug stays fixed.

  • Delivered where you work

    PR/MR to your VCS, plus insights to dashboards, IDE/CLI, test frameworks, and an Insights MCP.

  • ~6.5 hrs

    Saved per bug

  • 1.3×

    More bugs fixed vs manual, to start with

  • 0 hrs

    Developer time consumed (steady state)

  • ~15 min

    Bug-fix cycle time

  • ~$32K

    Saved each month (11-dev team)

Autonomous bug fixing: four approaches

Same bug, radically different time and cost depending on the level of automation.

Calculate for your team

Swipe the table

Manualin-houseAI-augmentede.g. GitHub Copilot, QodoSemi-Autonomouse.g. Claude Code, CursorFairlead Fix
How it worksDeveloper investigates and fixesAI suggests, dev drives fixAI diagnoses & generates fix, dev reviewsdiagnoses, fixes, validates, delivers
Diagnose (root cause)~5h 15m~4h 30m~30m0mfully automated
Fix (reproduction, code, tests, PR)~1h 15m~1h~1h0mfully automated
Review (approve)~15mby another dev~15mby another dev~15mby another dev15mmanual review
Performance limitDev capacityDev capacityDev capacityMachine speed
Total~6h 45mall dev time~5h 45mdev + tool~1h 45mreview + human fallback15mon review

Developer time per bug. Automated stages show human effort, not elapsed runtime. The calculator includes 15 minutes of human review per bug in all four approaches.

What Fairlead Fix saves you

A 12-month projection across four approaches. Adjust the five project parameters below and watch the model recompute live.

+159%

1-Year ROI · Fairlead

Return on the first year of autonomous bug fixing, measured against your manual baseline at the parameters below.

ROI = (manual cost − Fairlead cost) ÷ Fairlead cost. Like-for-like costs every approach against your full bug load. Turn it off to use each approach’s actual bug-fix capacity.

5K to 2M

1 to 100

1K to 900K

1% to 100%

Yes costs every approach against the full bug load. No costs each for the bugs it fixes.

Bugs Fixed (cumulative)

Every approach resolves the full bug load with added capacity.

03006009001,2001,5000123456789101112BugsMonth1,398

Open Bug Backlog

Added capacity absorbs the full bug load. No bugs remain unresolved.

0123450123456789101112BugsMonth0

Cost ($K)

Every approach is costed against the full bug load.

$0K$200K$400K$600K$800K$1,000K0123456789101112Cost ($K)Month$324K$839K$769K$636K

Cumulative savings vs manual ($K)

Total cost saved compared with manual bug fixing, in thousands of dollars. Negative values mean higher costs than manual.

$0K$150K$300K$450K$600K$750K0123456789101112Net savings ($K)Month$515K$0K$71K$203K

$515,302 net savings vs manual (1 yr)

Get the cost breakdown and assumptions for your team by email.

Estimates include 15 minutes of review per bug.

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