Your logs hold the data on why your product is slowing down. CodeMinder uncovers the high-impact technical hurdles blocking your roadmap, transforming raw noise into prioritized product outcomes.
For teams tired of triaging the same issue across five different tools.
Upload a file, point us at an S3 bucket, or connect a source. CodeMinder does the triage your team shouldn't have to.
Upload files directly, share a read-only S3 bucket for large datasets, or use our integrations. We handle access logs, error logs, CI/CD outputs, crash reports, code scanner results, customer tickets, and more.
Our pipeline classifies each signal by type (security, operational, performance), deduplicates across sources, assesses severity, writes technical analysis, and scores business impact. PII is automatically protected.
Export prioritized action items to CSV for sprint planning, or use roadmap intelligence to spot systemic patterns. Your feedback on every action item trains the model to get smarter over time.
Your team used to read these logs manually. Here's what CodeMinder sees — and what it hands back.
Every feature exists to answer one question faster: "What's actually broken, how bad is it, and what should we do first?"
Correlate signals across logs, crash reports, customer issues, and scanner outputs. When the same issue surfaces from multiple sources, it becomes one enriched action item — not a dozen scattered alerts.
Surface patterns from user-facing data — crash reports, customer feedback, usage analytics, and support tickets — so your team understands what's impacting the product experience, not just what's in the logs.
Every action item receives a business impact assessment — not just a severity label. Understand which issues affect revenue, user experience, or compliance so leadership and engineering speak the same language.
Not everything marked "high severity" deserves sprint time. CodeMinder weighs severity, frequency, blast radius, and business context to recommend what your team should work on first.
Hundreds of duplicate signals are collapsed into a single, enriched action item. Cross-source dedup means your team focuses on unique problems, not noise.
Review, adjust severity, and provide feedback on every action item. CodeMinder captures its reasoning for full transparency and uses your feedback to continuously improve its analysis.
Sensitive data — IP addresses, emails, credentials — is automatically detected and masked before analysis. Your data stays safe as it flows through the pipeline.
No new stack to adopt. Bring your data in, export your priorities out.
Connect via file upload or share a read-only S3 bucket for large datasets. Bring in logs, crash reports, scanner outputs, CI/CD artifacts, and any other engineering data your team produces.
Use aggregate intelligence across all sources to inform your product and engineering roadmap. Spot recurring themes and systemic patterns — see trends, not just individual incidents.
Export your full action items list to CSV — filtered by severity, category, or date range. Bring the data into your existing workflows, reports, or planning sessions.
Push action items directly into tools like Jira, Asana, Linear, or ClickUp — with technical analysis, severity, and business impact auto-populated.
Request AI-generated fixes for action items on demand. CodeMinder will use the full context — root cause, impact, and related signals — to propose targeted code changes.
Every time you adjust a severity, resolve an issue, or dismiss a false positive — CodeMinder learns what matters to your team.
No long setup. No vendor evaluation. Share some data, see what CodeMinder finds.
We're partnering with a small group of engineering teams to shape CodeMinder's roadmap. Limited spots available.
Join our design partner program and stop spending engineering hours on work a machine should do.