Quality
See recurring patterns, breakdowns, and risk indicators behind coding-agent usage.
The coding agent stack
Every AI. One platform.
Security, cost, config, and devEx — managed consistently across every coding agent your team chooses.
Claude CodeAnthropic
Codex CLIOpenAI
Gemini CLIGoogleDiff
SecurityGuardrails, audit, compliancePermission modes and risky artifact detectionPolicy-alignment signals across tools
Cost ManagementBudgets, usage, optimizationSpend concentration by team and modelSpike detection and efficiency tracking
Config ManagementPermissions, context, standardsCross-tool setup normalizationTeam and project configuration drift
Developer ExperienceOnboarding, workflows, toolingSession patterns and personal signalsSetup context behind every session
Cost
Track spend, spikes, and concentration before AI coding budgets become opaque.
Governance
Understand permissions, risky artifacts, and policy posture alongside operational usage.
Cross-tool
Compare Claude, Codex, Cursor, Copilot, and more in one operating layer.
For engineers
See your sessions, patterns, and setup in one place.
Diff gives individual engineers a view into their coding-agent work across sessions, tools, and configurations so they can understand what is working and what is not.
Track personal session patterns over time instead of relying on memory.
See which workflows, tags, and habits recur across your work.
Understand the configuration and setup context behind the sessions.
Personal signals
A clearer personal view of coding-agent work
Active days
19
Pattern tags
12
Work items
6
Signal mix
Last 30 daysPersonal trends52%
See what has been increasing, stabilizing, or falling off in your own work.
Workflow context63%
Sessions are more useful when viewed with their surrounding setup and process cues.
Useful before procurement74%
The product should make sense for an engineer before any org-wide rollout happens.
Personal trends
See what has been increasing, stabilizing, or falling off in your own work.
Workflow context
Sessions are more useful when viewed with their surrounding setup and process cues.
Useful before procurement
The product should make sense for an engineer before any org-wide rollout happens.
Personal signal, not just admin reporting
The engineer path stays useful even without an org dashboard purchase.
Pattern visibility
Use recurring tags and trends to understand how your sessions are evolving.
For managers
See quality, cost, governance, and usage in one system.
Diff gives engineering leaders a cross-tool operational layer for understanding how coding agents are being used, where outcomes diverge, and where intervention is needed.
Break down quality and risk by team, project, model, or agent.
Track spend and efficiency, not just usage or seat counts.
See governance posture next to the rest of the operating picture.
Org overview
One operating view across the coding-agent stack
Tracked teams
12
Top 3 concentration
58%
Risk exposure
9 sessions
Signal mix
Last 30 daysOperational breadth52%
Bring quality, cost, governance, and usage into one shared system instead of separate conversations.
Actionable segmentation63%
Slice by project, team, model, or agent to find where operating differences matter.
Management without surveillance74%
Keep the product focused on system understanding and operational improvement.
Operational breadth
Bring quality, cost, governance, and usage into one shared system instead of separate conversations.
Actionable segmentation
Slice by project, team, model, or agent to find where operating differences matter.
Management without surveillance
Keep the product focused on system understanding and operational improvement.
Break down the org view
Leaders can inspect team, project, model, and agent differences without losing the top-line picture.
Usage plus posture
Adoption metrics become more meaningful when they sit beside cost and governance data.
Also Useful To
Adjacent stakeholders.
Finance
Understand AI coding spend, spike days, and cost concentration by team, model, and workflow.
Security
See permission modes, risky artifacts, and policy-alignment signals alongside actual usage.
EngOps
Normalize cross-tool telemetry and compare setup differences across teams and providers.
Personal proof
A public-safe view of agentic coding activity.
Diff can expose public-safe aggregate activity for engineers without exposing raw transcripts or sensitive project details.
Explore the engineer pathPublic profile
@agentic-eric
Aggregate activity only. No raw transcript exposure.
Sessions
148
Streak
12d
Less More
Trust
Built for visibility, not surveillance.
Diff is designed to help teams understand coding-agent operations without turning engineers into scorecards.
Individual-facing value
The product should be useful to engineers themselves, not only to management.
Controlled visibility
Cross-tool observability works best when access and visibility are intentional rather than indiscriminate.
Public-safe defaults
Where public or shared surfaces exist, they should default to aggregate-safe exposure rather than raw detail.
For Engineers
Start with your own sessions.
See how you work with coding agents across sessions, tools, and setup.
Start freeFor Managers
See your org's baseline.
Understand quality, cost, governance, and cross-tool usage in one layer.
Book a demo