Quick Answer
WakaTime tells you how many hours you spent in your editor. DevClocked tells you what those hours — and your AI agents — actually produced. WakaTime is the established choice for passive coding-time tracking; DevClocked is built for the AI-agent era, measuring leverage and output rather than just time-in-editor.
At a glance
| DevClocked | WakaTime | |
|---|---|---|
| Core metric | Leverage (output per unit of effort) | Time spent coding |
| AI agent tracking | Yes — Claude Code, Codex CLI and other agents as first-class | Limited / editor-centric |
| Token tracking | Yes | No |
| Tracks work, not just time | Work Blocks + Leverage Score | Time-based heartbeats |
| Editor coverage | IDE, terminal, agent, browser and GitHub signals | Broad IDE/editor plugin support (its biggest strength) |
| Best for | AI-augmented developers who want to measure output | Developers who want a long-term log of coding hours |
| Pricing | Check current pricing | Free tier + paid; check current pricing |
What WakaTime does well
Credit where it's due — WakaTime is the category veteran and it earns it. Its editor plugin coverage is genuinely excellent: it supports a huge range of IDEs and editors, the heartbeat-based tracking is passive and reliable, and if all you want is a clean, long-running record of how many hours you've spent in which languages and projects, it's hard to beat. The dashboards are mature and the data export is solid. If your question is *"how much time did I spend coding this month?"*, WakaTime answers it well.
Where DevClocked is different
DevClocked starts from a different question: not *how long* but *how much did you get done* — and increasingly, *how much did your AI agents get done*.
- Agent tracking is first-class, not bolted on. DevClocked treats Claude Code, Codex CLI and other coding agents as primary actors in your workflow. WakaTime was built for a world where a human typed every line; in an agent-heavy workflow, raw editor time stops correlating with output.
- Leverage Score over hours. The headline metric is leverage — what you shipped relative to the effort it took — not a stopwatch. Two developers can log the same hours and have wildly different output; DevClocked surfaces that gap.
- Token tracking. Agent work has a real, measurable cost in tokens. DevClocked tracks it; WakaTime doesn't.
- Analytics depth and design. DevClocked's analytics go deeper into how work actually happens (Work Blocks, leverage trends, agent vs human contribution) and the interface is built to make that legible at a glance.
Feature by feature
| Feature | DevClocked | WakaTime |
|---|---|---|
| Automatic time tracking | Yes | Yes |
| AI coding agent tracking | Yes (first-class) | No / minimal |
| Token + cost tracking | Yes | No |
| Output / leverage metrics | Yes (Leverage Score) | No |
| Work Blocks | Yes | No |
| Leaderboard | Yes (Leverage Leaderboard) | Yes (coding-time leaderboards) |
| Editor/IDE plugin breadth | Focused on agent-aware workflows | Very broad (strength) |
| Long-term coding-hours log | Yes | Yes (strength) |
Who each tool is for
WakaTime is for developers who want a durable activity log. If your main goal is to know how many hours you spent in VS Code, Vim, JetBrains, or another editor, WakaTime is still a strong choice. It is especially good when editor breadth matters more than agent analytics.
DevClocked is for developers who want to understand output and leverage. If your workflow includes Claude Code, Codex CLI, terminal sessions, browser research, GitHub activity, and IDE work, DevClocked gives you a broader picture of what happened and whether the effort translated into useful output.
You can use both. Some teams keep WakaTime as a historical editor-time ledger and add DevClocked for agent-era analytics: token and cost visibility, Work Blocks, agent vs human contribution, and Leverage Score. They answer different questions, so the honest choice is not always either/or.
For teams
WakaTime answers a team question one developer at a time: how many editor hours each person logged, in which languages and projects, ranked on a leaderboard. For some teams that is enough. It gets thin once the work moves out of the editor. An engineer driving a coding agent, working through a terminal, or reviewing what an agent produced is working, and none of it looks like typing in an IDE.
DevClocked measures the whole team's work, including terminal sessions and AI agent runs, and ties it back to what shipped. Team views lead with the aggregate: hours by project and repo, the AI-versus-human split on every Work Block, and the commits those hours produced. DevClocked for teams covers the setup, the role-based access model, and why the capture is an output record rather than employee surveillance.
| Team question | DevClocked | WakaTime |
|---|---|---|
| Where the team's hours went | Editor, terminal, agent, browser and GitHub signals | Editor time by language and project |
| AI agent work across the team | Tracked per member and rolled up, with token cost | Not the unit it measures |
| What the hours produced | Linked to commits and shipped output | Not tracked |
| Default framing | Aggregate roll-up by team, project and repo | Per-developer leaderboards |
| Per-language editor detail | Lighter | Very detailed (strength) |
| Coverage for a mixed-editor team | Focused on agent-aware workflows | Very broad plugin ecosystem (strength) |
Pick WakaTime if your engineers already have its plugins installed, per-language editor stats are the number that matters, and you want the simplest possible record of editor hours.
Pick DevClocked if the work is spread across editors, terminals and agents, and the question you need answered is where a sprint went rather than who typed the most.
Two longer reads on the same problem: engineering team time tracking and team visibility without surveillance.
Pricing
WakaTime offers a free tier with paid plans above it; DevClocked's current pricing is on its site. Both are accessible to individual developers — pick on capability fit, not price. *(Verify current pricing on each site before relying on it.)*
Verdict
WakaTime remains an excellent passive coding-time tracker with unmatched editor coverage. But it was designed for a pre-agent world. If your workflow now includes AI coding agents and you want to measure leverage and output — not just hours — DevClocked is the tool built for that reality.
FAQ
Yes — DevClocked is an alternative built for AI-augmented development. WakaTime measures time in your editor; DevClocked measures the leverage and output of your work, including what your AI agents produce.
WakaTime is built around editor heartbeats, so agent work done outside the editor (e.g. via Claude Code or Codex CLI) isn't its focus. DevClocked tracks those agents as first-class.
WakaTime tracks how long you code. DevClocked tracks what you produced and how much leverage your effort and your agents generated.
Yes. DevClocked tracks token usage and cost from coding agents. WakaTime does not.
Yes. WakaTime can remain your editor-time history, while DevClocked adds agent tracking, token cost, Work Blocks and leverage analytics on top.
Yes, with a caveat about what it measures. WakaTime reports team activity the same way it reports individual activity: editor time per developer, broken down by language and project, with leaderboards on top. If editor hours are the number your team wants, that works. It will not show you terminal work or AI agent sessions, and it does not connect those hours to what the team shipped.
Measure what the team produced rather than who logged the most hours. DevClocked's team views open on aggregates: hours by project and repo, the AI-versus-human split, and the commits those hours produced. A Leverage Leaderboard is there if you want it, but it ranks output rather than time in the editor, and it is not where the team view starts.