Ribix narrowed the regression to one likely cause, one owner path, and one next inspection step.
Likely cause
Commit 7c1d2d1 removed the mobile refresh fallback in TokenSession.validate().
GitHub-first engineering intelligence
The first answer lands in GitHub.
Likely cause, severity, owner path, and next check arrive in the issue before triage drifts.
Public beta: GitHub issue enrichment, dashboard onboarding, CLI login, and VS Code bug sessions are live now. Broader enterprise controls and some routing integrations are still rolling out.
acme/mobile-checkout
mainIssue #1842 opened by support escalation
Checkout retries fail after token refresh on mobile
Customer sessions drop after retry. Regression surfaced 14m after deploy.
What Ribix posts first, before you open another tool.
This comment is the front door: immediate, specific, and inspectable. The dashboard, CLI, and incident workflows build from this same evidence instead of making your team restart triage somewhere else.
github.com/acme/mobile-checkout/issues/247
GitHub Issue #247: NullPointerException in AuthService
Openopened by support-triage
CriticalRuntime crashUser-facing auth failureAct nowP1
ribix-botbotcommented just now
...Ribix posted triage enrichment with likely cause, related issues, severity, and suggested owner.
-Likely Cause
commit a3f9c2b · @jsmith · Nov 14
Refactored token expiry validation: changed boundary check from >= to > in AuthService:112, off-by-one.
-Confidence
90% overall · strong issue signal, strong code evidence, medium history match.
-Why
The retry path now skips the old mobile fallback and reproduces the same failure pattern seen in a prior checkout regression.
-Related Issues
#198: Similar NPE, same file. Fixed by @jsmith.
-Severity
P1Auth path. Production label. User-facing.-Suggested Owner
@jsmith · last meaningful change to affected files. 3 related fixes.
-Next Check
Review boundary condition at AuthService:112.
Product
The issue comment is the front door. The rest of Ribix keeps the investigation moving.
Ribix does not ask teams to buy a dashboard first. It proves itself inside GitHub, then opens the deeper product layers only when the bug turns into a broader engineering decision.
GitHub-firstDecision-firstEvidence-led
Ribix sells the first answer in the issue thread, not in a detached workspace.
Once trust is earned, the same evidence fans out into review surfaces, terminal context, incident analysis, PR briefs, and reusable team memory.
Issuefirst diagnosis
CLIengineer follow-through
Linkrootincident expansion
GitHub issue enrichment
Post the first answer where the bug already lives.
Likely cause, suspect change, candidate files, severity, owner path, and one next inspection step land in the issue thread first.
DiagnosisSeverityOwner path
Dashboard operations
Review quality, replay history, dead letters, and routing confidence.
Ribix turns the first comment into an operational surface for review, scorecards, routing controls, and rollout trust.
Replay baselinesQuality viewRepository controls
CLI for engineers
Pull context, watch enrichments, and inspect traces in terminal.
Engineers get repo-aware memory, live watch, incident analysis, and debug recordings without being forced through the web app.
watch / why / explaindebug recordrepo-aware context
Linkroot incident intelligence
Correlate the bug with Slack, Discord, Linear, Jira, and GitHub signals.
When the issue becomes an incident, Ribix keeps the same evidence chain and widens the search across cross-platform operational history.
Cross-platform analysisResponsible-party hintsRelated changes
PR resolver
Turn merge risk into a decision, not a vague warning.
PR briefs combine conflict evidence, regression score, risky files, and historical incidents into a clear recommendation.
Conflict tierRegression scoreDecision brief
Knowledge garden
Promote validated patterns and ownership notes into reusable memory.
Teams can turn corrected enrichments and incident learnings into reviewed nodes instead of losing them in one-off threads.
Drafts + reviewsValidated nodesShared team context
Workflow
From GitHub issue to the next engineering decision.
Ribix stays GitHub-first for triage, then widens into dashboard, CLI, and incident workflows only when the bug turns into a broader engineering problem.
01
GitHub issue
A bug shows up in the same issue flow your team already uses.
Issue text, stack traces, file hints, recent deploy timing, and repository history become the starting evidence.
No new ticketing workflow. No dashboard-first posture.
02
Ribix comment
Ribix posts a decision-first comment instead of a vague summary.
Likely cause, suspect change, candidate files, severity, owner guidance, and one next check land directly in the thread.
This is where Ribix has to earn trust first.
03
Dashboard layer
The same evidence expands into quality, routing, and rollout controls.
Review enrichments, replay scorecards, repository state, dead letters, and team memory before you automate anything.
Operations and trust live here, not just marketing screenshots.
04
Engineer workflows
CLI, incident analysis, debug, and PR briefs take over only when needed.
Engineers can keep digging through terminal context, incident investigations, trace recordings, and merge-risk briefs without switching products.
The product widens with the problem instead of starting wide by default.
One evidence chain from GitHub comment to incident investigation
One product path from first diagnosis to operator controls
Optional deeper surfaces instead of mandatory workflow change
<60s
to the first decision-ready triage signal
GitHub comment first
the first answer lands in the same issue thread your team already uses
Dashboard + CLI when needed
go deeper into incident, PR, and memory workflows without changing products
Simple, honest pricing.
Start with GitHub issue enrichment. Add CLI, shared team context, and incident workflows as Ribix becomes part of how your team actually investigates bugs.
Free
$0/mo
Validate the workflow on a real bug.
- 15 enrichments / month
- 1 active repository
- Diagnosis, severity guidance, and candidate files
Best for proving the GitHub comment loop before the wider product matters.
Solo
$24/mo
For one engineer using the full path.
- 150 enrichments / month
- Up to 3 repositories
- CLI access + related issue search + ownership routing
Best for engineers who want GitHub enrichment plus terminal follow-through.
Team
$89/mo
For an engineering team.
- 1,000 enrichments / month
- Up to 10 repositories
- Shared team context + garden + PR conflict briefs
- Up to 10 seats
Built for teams that want shared memory, repeatable triage quality, and review surfaces.
Org
$299/mo
For larger engineering orgs.
- High-volume usage
- Unlimited repositories
- Linkroot incident investigations
- Priority rollout for advanced org capabilities
SSO, custom integrations, and some org-only workflows are delivered in staged rollout with the product team.
Plan descriptions reflect live product surfaces. Some org-only capabilities land via staged rollout instead of self-serve toggles. Ribix is not designed to bulk-store your full codebase; see Docs.
Questions before you roll it out to engineering.
When a new issue is opened, Ribix posts a structured GitHub comment first. That comment carries the likely cause, suspect change, candidate files, severity guidance, owner path, and next check. If the problem needs deeper investigation, the same evidence then flows into the dashboard, CLI, Linkroot, and PR review surfaces.
Ribix works from issue text, GitHub metadata, recent repository history, and a scoped repository cache used for blame, file ranking, and related-change analysis. It is not designed as a bulk code-ingestion or arbitrary browsing product. The GitHub App requests only the permissions needed for enrichment and repository intelligence; see Docs for the current list.
Ribix is not built to bulk-store your entire codebase for training. It does keep the operational repository cache needed for git-backed analysis, repository inference, and history refresh, but the product is sold around investigation workflows, not model training on customer source. If your org needs stricter data-handling review, use the Privacy page and contact us.
GitHub Issues is the primary enrichment entry point today. Beyond that, the live product includes dashboard surfaces, CLI workflows, PR conflict and regression briefs, and Linkroot incident analysis that can ingest Slack, Discord, Linear, Jira, and GitHub signals. GitHub is still the front door.
The product is designed to learn from corrections rather than pretending to be infallible. Teams can react to enrichments, use correction commands in-thread, and feed closed-issue outcomes back into routing, severity, and historical fix-pattern learning. Early trust comes from reviewable output, not blind automation.
A general chat tool can answer one prompt. Ribix is built as an operating layer: it receives GitHub events, inspects repository history, posts a consistent comment back to the issue, keeps the same evidence in dashboard and CLI surfaces, and supports incident and PR workflows when the bug expands beyond first-pass triage.
Not for first-pass triage. Enrichment appears in GitHub Issues first, in the same place your team already works. The dashboard and CLI are deeper layers for review, rollout control, incident analysis, and engineering follow-through, not a replacement for filing bugs.
Initial setup is GitHub-first: create an account, install the GitHub App, connect repositories, and start filing issues. The CLI is optional and can be added later. Org capabilities such as SSO and custom integrations are handled in staged rollout rather than implied as instant self-serve setup.
Use the Security, Privacy, and Terms pages linked in the footer. They describe baseline controls, AI and data handling, retention, and the legal terms for using the product. If your team needs a DPA or deeper review before rollout, contact us.
Selected answer
What does Ribix actually do on each issue?
When a new issue is opened, Ribix posts a structured GitHub comment first. That comment carries the likely cause, suspect change, candidate files, severity guidance, owner path, and next check. If the problem needs deeper investigation, the same evidence then flows into the dashboard, CLI, Linkroot, and PR review surfaces.
Built by a solo founder who has lived triage pain.
Pre-launch trust starts with builder visibility. This is a one person product and company in pre-launch, built in public with direct feedback from early users.
Vladislav Kondratyev
AI System Engineer
Architected systems at Intel and CNF. Now building Ribix fullstack; from product vision to code to GitHub infrastructure deployment.
LinkedIn profileStart in GitHub. Keep the rest of the investigation in one product.
Ribix sells the first diagnosis in the issue thread, then gives your team the dashboard, CLI, incident, and replay workflows that keep bug investigation moving without stitching tools together.
Public beta is self-serve for GitHub-connected teams. If your setup needs custom security review or unsupported routing, use docs and support before rollout.
ribix-bot
commented now