What is Agentic Engineering Intelligence?

Agentic Engineering Intelligence measures the combined work of human engineers and their AI agents, capturing where time goes, every agent run and token cost, at the source, across all repos, and tying it to shipped output.

How is DevClocked different from Waydev?

Waydev reads your Git history and infers which commits were AI. That's the artifact after it lands. We sit in the work session and capture it as it happens, real hours, every agent run, the tokens, including everything that never became a commit.

How is DevClocked different from Tokscale?

Tokscale tells you what you spent. We tell you what you shipped for it. Measuring spend is the easy half; tying it to real human hours and shipped output, the leverage, is the hard half, and the part that matters.

How is DevClocked different from Jellyfish or LinearB?

Same data limit as Waydev, they're built on Git and pull requests about humans, with AI bolted on as adoption stats. We're built on the work session itself, captured at the source.

How is DevClocked different from Langfuse or agent observability?

Different end of the pipe. Langfuse traces what the model does, for people building agents. We measure the output and cost of people using them to ship software.

What is the Leverage Score?

Your Leverage Score is the ratio of total shipped output, human and agent combined, to the human hours you invested. It shows whether AI is acting as a true force multiplier or mostly adding cost.

How does agent session capture work?

When you run Claude Code, Cursor, Windsurf, or other AI coding tools, DevClocked captures the session: duration, tokens in and out, cost, and project attribution. Agent sessions appear beside manual coding sessions.

What token and cost data does DevClocked track?

DevClocked maps token usage to projects and sessions so you can see total tokens, cost per shipped feature, and whether spend is compounding output or getting lost to context resets.

Agentic Engineering Intelligence

See whatyouactually shipped.

DevClocked automatically tracks where your engineering time really goes. Coding time, agent runs, tokens and exactly what each feature cost.Set it and forget it.

View product proof

Claude Code - ~/projects/demo-workspace

MCP connected

10,000Hours analysedsource-captured work

368BTokens trackedmapped to projects

500+Projectsmulti-repo views

Why we exist

Legacytrackerscounthours.DevClockedunderstandsoutput.EveryIDEedit,terminalcommand,ClaudeCodesession,andAIinteraction—unifiedintooneintelligencelayer.Finallyseewhatyouactuallyship.

IDETerminalAI AssistantBrowser

The thesis

The 10x engineer, finally measured.

Leverage is the ratio of what you shipped to the human hours it took, measured across your work blocks and every agent you ran. DevClocked tells you whether AI is a force multiplier, or just expensive autocomplete.

Time Slice4 agents / 3 repos

4.2xleverage this week

Coding time3h 04m

Session time5h 25m

Coding ratio57%

Real coding1h 34m

Config + plumbing3h 04m

Review + debug52m

Agent runsmodels + cost

Models used

Claude Sonnet42%

GPT-5 Codex36%

Claude Opus22%

Claude Codecheckout-ui182k$3.18merged

Cursorbilling-core91k$1.44review

Codexreports238k$4.72testing

Tokenomics

Track agents and humans.

Token spend is a real line item now. DevClocked breaks it down by project, session, and agent so spend ties directly to delivered output.

See whether your AI bill is compounding your output or getting burned on context resets and low-efficiency runs.

Built for how you actually work

Automatically track every project, repo, agent, and human.

Captured at the source across your IDE, terminal, AI assistants, and browser, the moment work happens. No timers, no manual input, nothing to remember.

01 · Automation

Zero-touch time logging

02 · Productivity

Automatic time-sheets and billing

03 · Analytics

Detailed dev analytics

04 · Agents

Agent monitor

05 · Projects

Multi-repo project views

06 · Teams

Collaborative tracking & sharing

Works everywhere you code

Track every surface. Change nothing.

DevClocked meets the team in the IDE, terminal, browser, Git output, and agent runtime, then normalizes it into one operational ledger.

Trackers

VS Code

Capture edits, debugging, and assisted coding activity straight from VS Code as you work.

Trackers

Cursor Plugin

Track Cursor sessions and agent-heavy edits without changing how developers code.

Runtime

Terminal / CLI

Wrap terminal workflows, Codex, Claude Code, Aider, scripts, and daemon capture.

Research

Chrome Extension

Tie docs, research, and browser context back to active engineering work.

Output

Codex Plugin

Connect repositories, commits, and pull requests to the work blocks that produced them.

Issues

Claude Plugin

Install the DevClocked app to sync issues and link shipped work to project evidence.

Runtime

MCP

Query your live DevClocked signal: sessions, focus, agent runs, token spend, project context, and shipped output.

npx devclocked setup

Beyond the commit

Measure the work behind every commit.

Coding vs config, agent runs, tokens and the leverage they produce, the operational signal Git never records.

Captured at the source

Sessions start in your IDE, terminal, browser, Mac app and agent runtime, never inferred from Git after the fact.

Who and what shipped it

Every shipped feature mapped to the humans, agents, repos, sessions and commits behind it.

Parallel agents, untangled

Orchestration, review and hands-on coding split apart, so concurrent AI work stops looking like one blurry session.

Spend tied to output

Model usage translated into project-level cost and cost-per-shipped-output, not another mystery bill.

Proof AI is paying off

See whether AI is multiplying real output or just adding context churn and expensive autocomplete.

Signal, never surveillance

No screenshots, keystrokes or watching. DevClocked captures operational metadata, not people.

Measure outcomes

Every ticket, tied to what shipped it.

DevClocked ties work blocks, agents, token spend, commits, PRs, and shipped evidence back to issues. Linear sync is available now; Jira uses the same provider model as the adapter lands after Linear.

LinearSynced issues, linked sessions, shipped work evidence.

JiraProvider-ready issue model, same rollup path after Linear.

IssueTrackerOutcomeHoursTokensCommitsPR statusShip state

DEV-412Linear syncedCheckout recovery flow6.3h$8.409PR #184 mergedShipped

ENG-184Linear linkedBilling webhook edge case3.1h$4.725PR #209 reviewIn review

JRA-29Jira-ready modelAdmin audit export2.4h$2.103Branch linkedAdapter next

Choose your path

Built for every way software ships.

Start with the same source-of-truth work data, then route it to the workflow that matters.

For Developers

Show your multiplier, not just your commits.

See your real day to the minute and prove the leverage behind every commit.

Learn more

For Teams

Manage delivery on real work, not keystrokes.

Benchmark leverage and attribute output across every engineer and agent.

Learn more

For Agencies

Bill for everything you ship, agents included.

Client-ready, defensible invoices for every billable human and agent hour.

Learn more

Mac app

Set it once. It catches everything.

The app runs quietly in the background and captures your work as it happens. No timers, no buttons, nothing to remember. Switch between VS Code, Cursor, Terminal, Claude Code and Chrome and it just keeps recording. So light you'll forget it's running.

Install once and walk away. Capture starts automatically.
Detects every tool you use and keeps one continuous session, not fragments.
Native and silent. Under 20MB, built on Tauri + Rust.

Daemon statusnative runtime

VS CodeDetected

CursorReady

Terminal (zsh)Active

Claude CodeDetected

Chrome researchLinked

Different by design

Everyone else reads the artifact.

Git-based platforms read the code after it lands. Token counters read the bill. DevClocked measures the work itself.

CapabilityDevClockedGit-based platformsToken counters

Real human hoursMeasured at the sourceInferred from commitsNot captured

Time Slice (coding vs config)Yes, to the minuteNo, commits can't show itNo

Concurrent agents across repos, one viewYesNoPartial (tokens only)

Per-session agent runs & tokensYes, per runAggregate / vendor-reportedTokens only

Sees work that never became a commitYesNoNo

Spend tied to shipped output (leverage)YesPartialNo

Bottom-up from the developerYesNo (top-down)Yes

Pricing

Simple pricing.

Choose the level of intelligence you need while the launch cohort is gated.

MonthlyAnnualSave 17%

Pro

$16/month

For solo developers who want Time Slice, Work Blocks, Leverage Score, token economics, and multi-repo views.

Time Slice: coding vs config
Work Blocks and personal Leverage Score
Token and cost context by project
Multi-repo and multi-agent view
AI insights

Ultra

$26/month

For power users who need deeper project mapping, advanced reports, exports, unlimited history, and priority support.

Everything in Pro
Advanced project mapping
Advanced reports and exports
Unlimited history
Priority support

Business

$29/user/mo

For teams that need org dashboards, seat management, team leverage benchmarking, attribution, and admin controls.

Everything in Ultra
Per-seat team management
Org and team dashboards
Team Leverage benchmarking
Admin roles and priority support

Enterprise SSO, SAML/SCIM, governance, and data residency are coming next.

FAQ

Questions teams ask first.

Teams love DevClocked

Take their word for it

The ability to record all our development work, across multiple agents, has made project visibility infinitely better. I can now fully understand how much time we've been spending.

RyanCTO, Flowback

DevClocked has completely enabled me to really understand how much time it takes to get issues resolved. I now know where every minute is going, and how much it costs.

CloeCo-founder, Spillist

Before DevClocked, how much time it took to ship features was a complete guess, and there was no understanding of productivity either. That has totally changed now.

MattCTO, Tankly

You ship with agents now. Track like it.

Capture real output across every project, every agent, and every line of code, measured at the source.

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