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For Engineering Leadership

CTO / FounderFewer Interruptions. More Shipping.

Give every team self-serve access to engineering context. No more "ask engineering" loops, no more processes that only work when the right person is online.

On-premAny LLMOpenTelemetryOpen source
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Free and open source. Business and Enterprise plans available.

What changes for your org
Before
Knowledge locked in a few heads
"Ask engineering" loops in Slack
Processes need the right person online
After
One source of truth for everyone
Problems get handled when they arise
Repeatable processes without the overhead
Enterprise-ready by design
On-prem Any LLM OpenTelemetry
At a Glance

Why engineering leaders choose Probe

One Source of Truth

Engineers, PMs, support, legal — all query the same codebase. No more "ask engineering" loops.

Problems Handled Automatically

Issues triaged, context gathered, first response drafted — the moment something breaks. Response times shrink without adding headcount.

Repeatable Without Overhead

Build workflows once — compliance checks, release gates, onboarding — and they run every time. No chasing people.

No Lock-in

Open source core. Run on-prem or cloud. Swap LLM providers without rewriting workflows.

The shift

What changes for your organization

From bottleneck to self-serve. Three things that look different after Probe is running.

01

One source of truth for everyone

Engineers, PMs, support, legal — all query the same codebase. No more "ask engineering" loops or tribal knowledge locked in a few heads.

02

Problems get handled when they arise

Issues triaged, context gathered, first response drafted — automatically, the moment something breaks. Response times shrink without adding headcount.

03

Repeatable processes without the overhead

Build workflows once — compliance checks, release gates, onboarding — and they run every time. No chasing people. Full OpenTelemetry traces for every action.

Use Cases

What leadership teams actually ask Probe

Real prompts. Questions, investigations, digests, and automations — across your entire stack.

Question
Show me sprint velocity across all teams for the last 6 sprints — which teams are slowing down and why?
6 teams analyzed. Platform velocity down 23% over 3 sprints — root cause: 40% of sprint time going to unplanned on-call work. Payments team stable. Mobile team spiking due to reduced scope, not increased output. Recommendation: rotate on-call burden, protect sprint commitments.
Automation
Every morning: check Datadog for error rate >1% or p99 >500ms — correlate with recent deploys, post to #on-call
Morning check complete. 2 alerts: payments-service error rate at 2.3% (up from 0.4% yesterday, correlated with deploy #1847 at 4pm), and search-api p99 at 620ms. Root cause candidates and rollback instructions attached. Posted to #on-call with runbook links.
Investigation
Pull delivery metrics, support ticket trends, and open risks for my quarterly board review — summarize in 1 page
Q1 Summary: 94% of committed features shipped. Mean cycle time improved from 14→9 days. Support volume down 18% (docs improvements). 3 open risks: auth migration 2 weeks behind, 1 unfilled senior role blocking mobile roadmap, vendor contract renewal pending for monitoring stack. Formatted as 1-page PDF.
Automation
When a Zendesk ticket is tagged "feature-request" — find the related Jira epic, add customer context, update the epic
Matched ticket ZD-8842 to epic PLAT-291 (Webhook v2). Added: Acme Corp requesting retry config, 3rd request this quarter. Updated epic priority score. Notified PM in #product-requests. Running on all new feature-request tags.
Digest
Weekly leadership digest: cross-team risks, blockers, stalled RFCs, and anything that needs my attention
3 risks: 1) Auth migration — 2 of 5 services not started, deadline in 3 weeks. 2) Platform team blocked on vendor contract renewal. 3) RFC-47 (event bus redesign) stalled — unresolved security review. 2 items need your decision: budget approval for staging env expansion, tie-breaker on API versioning approach.
Question
Which teams have the most unresolved security vulnerabilities? What's blocking remediation?
Payments: 4 critical CVEs, oldest 31 days — blocked on Redis 7 upgrade (needs infra team). Platform: 2 critical, remediation PRs open but stuck in review. Mobile: clean. API team: 1 critical, fixed in staging, waiting on release train. Total: 7 critical across org, 3 blocked on cross-team dependencies.
Question
Show me sprint velocity across all teams for the last 6 sprints — which teams are slowing down and why?
6 teams analyzed. Platform velocity down 23% over 3 sprints — root cause: 40% of sprint time going to unplanned on-call work. Payments team stable. Mobile team spiking due to reduced scope, not increased output. Recommendation: rotate on-call burden, protect sprint commitments.
Automation
Every morning: check Datadog for error rate >1% or p99 >500ms — correlate with recent deploys, post to #on-call
Morning check complete. 2 alerts: payments-service error rate at 2.3% (up from 0.4% yesterday, correlated with deploy #1847 at 4pm), and search-api p99 at 620ms. Root cause candidates and rollback instructions attached. Posted to #on-call with runbook links.
Investigation
Pull delivery metrics, support ticket trends, and open risks for my quarterly board review — summarize in 1 page
Q1 Summary: 94% of committed features shipped. Mean cycle time improved from 14→9 days. Support volume down 18% (docs improvements). 3 open risks: auth migration 2 weeks behind, 1 unfilled senior role blocking mobile roadmap, vendor contract renewal pending for monitoring stack. Formatted as 1-page PDF.
Automation
When a Zendesk ticket is tagged "feature-request" — find the related Jira epic, add customer context, update the epic
Matched ticket ZD-8842 to epic PLAT-291 (Webhook v2). Added: Acme Corp requesting retry config, 3rd request this quarter. Updated epic priority score. Notified PM in #product-requests. Running on all new feature-request tags.
Digest
Weekly leadership digest: cross-team risks, blockers, stalled RFCs, and anything that needs my attention
3 risks: 1) Auth migration — 2 of 5 services not started, deadline in 3 weeks. 2) Platform team blocked on vendor contract renewal. 3) RFC-47 (event bus redesign) stalled — unresolved security review. 2 items need your decision: budget approval for staging env expansion, tie-breaker on API versioning approach.
Question
Which teams have the most unresolved security vulnerabilities? What's blocking remediation?
Payments: 4 critical CVEs, oldest 31 days — blocked on Redis 7 upgrade (needs infra team). Platform: 2 critical, remediation PRs open but stuck in review. Mobile: clean. API team: 1 critical, fixed in staging, waiting on release train. Total: 7 critical across org, 3 blocked on cross-team dependencies.
Automation
Triage every incoming issue — classify by team, attach relevant code and docs, route automatically
Triaged 12 new issues. 4 routed to Platform (infra-related), 3 to API team (endpoint bugs), 5 to Frontend. Attached relevant source files, related PRs, and runbook links to each. Average triage time: 8 seconds. No human intervention needed.
Automation
Enforce release readiness gates — test coverage, security scans, required approvals — before every deploy
Release v2.14.0 gate check: Test coverage 94% (pass). Security scan: 0 critical, 2 medium (known, tracked). Approvals: 2/2 required reviewers signed off. Changelog generated. All gates green — ready to deploy.
Automation
When a PR hasn't been reviewed in 48h — nudge the reviewer. If still pending after 72h, escalate to the team lead
Monitoring all open PRs. PR #2201 hit 48h — pinged @alex in #api-team. PR #2187 hit 72h — escalated to @sarah (team lead) with context: 3 other PRs depend on this, release train is Thursday. Current queue: 14 PRs tracked, 2 in escalation, avg review time this week: 22h.
Automation
Recurring compliance checks — license audits, security scans, R&D hour tracking — on schedule, fully logged
Weekly compliance run complete. License audit: 2 new AGPL dependencies flagged for legal review. Security: all critical CVEs patched. R&D hours logged: 847h across 3 projects (tax credit eligible). Full audit trace in OpenTelemetry dashboard.
Automation
Hourly: enrich new Jira tickets with Zendesk customer context, related code paths, and similar past issues
Processed 8 new tickets this cycle. PROJ-1924: linked to 3 Zendesk reports from enterprise clients, attached relevant auth service code, found similar issue fixed in PROJ-1801. PROJ-1925: first-time report, no matches. Enrichment saves ~15 min per ticket of manual triage.
Onboarding
New hires should get self-serve codebase walkthroughs — save our architecture, service boundaries, and deploy process as runbooks
Created 5 runbooks: "Architecture Overview" (12 services, data flow), "Service Boundaries" (ownership, APIs, contracts), "Deploy Pipeline" (CI stages, canary, rollback), "On-call Guide", "Local Dev Setup". Referenced 47 source files, 8 Confluence pages. Available to all team members — new hires can ask follow-up questions directly.
Automation
Triage every incoming issue — classify by team, attach relevant code and docs, route automatically
Triaged 12 new issues. 4 routed to Platform (infra-related), 3 to API team (endpoint bugs), 5 to Frontend. Attached relevant source files, related PRs, and runbook links to each. Average triage time: 8 seconds. No human intervention needed.
Automation
Enforce release readiness gates — test coverage, security scans, required approvals — before every deploy
Release v2.14.0 gate check: Test coverage 94% (pass). Security scan: 0 critical, 2 medium (known, tracked). Approvals: 2/2 required reviewers signed off. Changelog generated. All gates green — ready to deploy.
Automation
When a PR hasn't been reviewed in 48h — nudge the reviewer. If still pending after 72h, escalate to the team lead
Monitoring all open PRs. PR #2201 hit 48h — pinged @alex in #api-team. PR #2187 hit 72h — escalated to @sarah (team lead) with context: 3 other PRs depend on this, release train is Thursday. Current queue: 14 PRs tracked, 2 in escalation, avg review time this week: 22h.
Automation
Recurring compliance checks — license audits, security scans, R&D hour tracking — on schedule, fully logged
Weekly compliance run complete. License audit: 2 new AGPL dependencies flagged for legal review. Security: all critical CVEs patched. R&D hours logged: 847h across 3 projects (tax credit eligible). Full audit trace in OpenTelemetry dashboard.
Automation
Hourly: enrich new Jira tickets with Zendesk customer context, related code paths, and similar past issues
Processed 8 new tickets this cycle. PROJ-1924: linked to 3 Zendesk reports from enterprise clients, attached relevant auth service code, found similar issue fixed in PROJ-1801. PROJ-1925: first-time report, no matches. Enrichment saves ~15 min per ticket of manual triage.
Onboarding
New hires should get self-serve codebase walkthroughs — save our architecture, service boundaries, and deploy process as runbooks
Created 5 runbooks: "Architecture Overview" (12 services, data flow), "Service Boundaries" (ownership, APIs, contracts), "Deploy Pipeline" (CI stages, canary, rollback), "On-call Guide", "Local Dev Setup". Referenced 47 source files, 8 Confluence pages. Available to all team members — new hires can ask follow-up questions directly.
What teams say

Trusted in Production

"It's the first AI tool where I actually trust the answers. Probe retrieves the real code, not hallucinated snippets, and that changes everything for how we use it across the team."

Andy OstSenior Product Manager at Tyk.io

"Probe understands our codebase better than most new hires. I use it for code reviews, architecture decisions, and onboarding — it's become part of how our team works."

Laurentiu GhiurTechnical Lead at Tyk.io
Adoption Path

How Your Organization Can Adopt

A phased approach that delivers value quickly while building toward full platform capability.

1

Pilot: Single Team

Start with one team and one high-value workflow. Deploy Probe for code intelligence, set up basic observability, and validate the approach with measurable outcomes.

  • Code search deployed to pilot team
  • First workflow in production
  • Baseline metrics established
2

Expand: Platform Foundation

Roll out to additional teams with shared templates. Establish governance policies, integrate with SSO, and connect additional systems of record.

  • 3-5 teams using workflows
  • Shared template library
  • SSO and RBAC configured (Enterprise tier)
3

Scale: Organization-Wide

Self-service workflow creation for all engineering teams. Full observability stack, cost attribution, and compliance reporting. Platform team focuses on infrastructure, not workflow development.

  • Self-service for all teams
  • Full observability integration
  • Compliance-ready audit trails
FAQ

Common Questions from Engineering Leaders

How does this differ from just using Claude or GPT directly?

Direct LLM usage is stateless and disconnected from your systems. Probe workflows are grounded in your actual systems of record, maintain context across interactions, and produce auditable traces. The difference is between a smart assistant and reliable infrastructure.

What about security and data privacy?

Probe runs entirely on-prem — retrieval runs locally and you control what context is sent to the model. You choose which LLM provider to use, including self-hosted options. All agent actions are logged with OpenTelemetry for complete auditability.

How do teams maintain their workflows?

Workflows are defined as code, version-controlled alongside your application code. Teams own their workflows with the same practices they use for any infrastructure — code review, testing, gradual rollout.

What happens when an agent makes a mistake?

Every agent action produces a full trace. Workflows include human-in-the-loop checkpoints for sensitive operations. The observability stack lets you identify issues and roll back changes within minutes.

Ready to Make AI Workflows Predictable?

Start with open source today, or book a 30-minute demo to see Probe running on a production-scale codebase.

Book a Demo Start with Open Source