Context for Software

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Engineering velocityIncident managementCode quality & review

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Other workflows

Debugging & Root Cause Analysis

Documentation & Runbooks

Deployment & Config Review

Automated Code Review

Context

P0 — payments-service

Incident Response v3Knowledge

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AgentAuto

Context

Incident Response v3

SaveRun

Workflows/Customer Success/Customer Save Package v3

Customer Save Package

v3 · edited 2w agoScope: Customer Success847 runs

Investigate customer churn risk, identify root cause across all systems, and prepare retention deliverables for CS team review.

Steps

Query Salesforce for all support tickets, NPS scores, and contract details for the target account.

salesforcecrm

Search Slack for internal threads mentioning the account.

Include engineering and support channels. Flag any threads mentioning "churn," "escalation," or "competitor."

slack

Pull product analytics: DAU, feature usage, login frequency.

Identify inflection points — any >20% change within a 2-week window.

analytics

Check billing system for disputes, late payments, or credit history.

billing

Search internal knowledge for prior incidents, escalations, or relevant context about this account.

knowledge

ifIf usage dropped significantly, run churn risk model and generate usage trend visualization.

Threshold: >30% DAU decline in any 4-week window.

compute

Compile findings into a save package: timeline, root cause, revenue impact, remediation plan.

output

Draft customer-facing email with acknowledgment, remediation steps, and proposed next meeting.

output

8 steps·6 integrations·~20s avg runtime·98.2% pass rate

Integrations

Works with the systems
software teams rely on

Context connects to your existing infrastructure: communication, storage, analytics, and operational systems. Agents execute within the tools your team already uses.

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GitHub

GitLab

Bitbucket

Azure DevOps

Jenkins

CircleCI

GitHub Actions

Travis CI

Slack

Microsoft Teams

Discord

Mattermost

Zoom

Google Meet

Gmail

Jira

Linear

Asana

ClickUp

Monday

Trello

Airtable

Notion

Datadog

New Relic

Sentry

PagerDuty

Grafana

Prometheus

Elastic

Splunk

AWS

Google Cloud

Azure

Heroku

Vercel

Netlify

DigitalOcean

Linode

Quality Assurance

Measure what matters to software

Track the performance indicators that drive your business, not generic AI benchmarks. Context evaluates accuracy on your specific tasks, workflow completion rates, and output quality against your team's standards. Every evaluation is traceable.

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