Cadence

Continuous knowledge capture for modern software engineering teams

Engineering organizations lose $200k+ annually per senior developer because architectural context, debugging trajectories, and critical solution paths vanish when local terminal sessions close.

Cadence automatically captures, indexes, and structures developer commands, agent choices, and code modifications across enterprise terminal sessions. It transforms ephemeral telemetry into search-ready documentation, verified integration tests, and repository knowledge graphs in real time. By centralizing developer execution context, engineering leadership secures instant visibility into codebase drift, recurring flaws, and team productivity without disrupting developer focus.

Cadence is building the definitive persistent context infrastructure for the modern enterprise software engineering ecosystem.

COMMENTS — Community Discussion

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#DevTools#Ops#Data#Security#Engine

Problem

When I lead a software team, I want to capture tribal knowledge from complex agent-driven bug fixes, but $150k+ in developer context is lost whenever local terminal sessions close.
Why Now: Rapid enterprise adoption of CLI agents like Claude Code and Cursor has fragmented engineering knowledge across thousands of ephemeral developer machines.
When I onboard new engineers, I want them to understand past system architecture decisions, but senior developers waste 15+ hours weekly answering repetitive code questions.
When I audit security compliance, I want full lineage of machine-generated edits, but security teams spend 20+ hours per audit manually retracing session history.
Existing Alternatives: Scraped Slack threads, stale Notion pages, manual git commit messages, and ephemeral local terminal histories.

Solution

High-Level Concept: Datadog for enterprise developer session telemetry and codebase knowledge.

Background CLI hooks that silently transform terminal commands, code diffs, and prompt sessions into structured architectural specifications.
Real-time knowledge indexing that allows any team member to search debugging runs, API fixes, and historical decision paths.
Automated test synthesis that compiles verified agent execution trajectories into automated integration test suites.

Distribution

Early Adopters: VP of Engineering and CTOs at mid-market technology firms ($10M-$100M ARR) managing 20-200 developers using CLI agent tools.
Direct executive outreach through technical CTO peer groups, engineering leadership summits, and targeted developer experience workshops.
Developer-led bottom-up distribution through an open-source local CLI capture plugin that connects directly to enterprise workspaces.

Pricing

Value Ladder: Free individual CLI hook
Pro tier at $29/seat/month for fast-growing teams
Enterprise tier at $79/seat/month with SOC2, SSO, and custom test pipelines.
One Metric That Matters [OMTM]: Weekly captured active sessions per enterprise engineer.
Market Sizing: SAM of 250k engineering organizations ($240M ARR); SOM Year 1 targeting 150 enterprise teams averaging 50 seats at $79/seat/month ($4.7M ARR).

Scale Costs

High-throughput log ingestion infrastructure designed for real-time diff processing across thousands of concurrent developer machines.
Enterprise security infrastructure, SOC2 Type II audit compliance, and zero-data-retention sandbox parsing environments.
Proprietary vector graph indexing engines optimized for multi-file AST context generation.

Expert Opinions

Avg: 9.5

world-class VP of Engineering and Developer Experience architect with $200M+ ARR experience
9.5
world-famous enterprise DevSecOps Lead Architect PhD
9.2
renowned SaaS Growth Strategist and B2B Enterprise Investor
9.8

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