Your agents got 10x faster.Your review didn't.
Lumo is the Agentic Project Management tool for teams that ship with Coding Agent. Reliable: every test case your agent runs is recorded with its result, environment and evidence — on every change. Secure: every pull request is scanned before it merges — for vulnerabilities, and for the boundaries your agents crossed writing it. You review the proof, not the diff.
Lumo's whole pitch is that a claim without evidence doesn't count — ours included. So none of these are Lumo's numbers: they are published research and industry telemetry, each one cited. See the studies.
Everything your agents can't tell you themselves.
You don't know what last week cost.
Every agent run is metered to the token — broken out by model and token type. See live spend per task, per agent, and per sprint.
Some run has been stuck for two hours.
Know which work is fast, which is stuck, and which to re-route.
It deleted the test so the feature would pass.
Left unguarded, agents take harmful out-of-scope actions in most red-team trials; pairing rules with an explicit rationale cuts that to roughly a third — 65% → 19%.6 Lumo classifies every crossing across 9 categories by type and severity, gates CI on catching every one, and stops the irreversible ones before they merge — modeled on the collateral-damage7 and minefield8 checks from agent-safety benchmarks.
It shipped a vulnerability with the feature.
Every pull request runs five layers before it merges — secrets, code scan, dependencies, AI review, and an agent that hunts for a working exploit path. Every finding lands on the PR with a severity and a fingerprint, and Lumo reports what it established — never that you are safe.
Nobody marks their own homework.
Write the test cases once — setup, steps, expected result. Every run is appended with its verdict, the environment it ran in, the commit it ran against, and screenshots as evidence. The log is append-only: a wrong verdict is corrected by adding a row, never by editing one.9
It forgot what you told it on Tuesday.
In published trials, structured context-trimming cut filler ~39% while raising task quality +2.8%.10 Lumo assembles each run from the sources that matter — Slack, specs, docs, Figma, PRs — and trims the rest.
“Why is this line here?” Nobody knows.
Evidence pays twice: every recorded run joins the record your agents draw on next time — a reuse that cut agent cost a mean 31.8% in published trials.1 Lumo links every decision, source, and run so you can trace why.
Sprints & milestones
Roll work into sprints with burn-up, risk, and AI-written summaries — the planning layer your humans already know.
Define done. Let it run. Check the proof.
Agree on done before the agent starts.
Write down what "done" means before anyone writes code — the test cases that prove it, with their steps and expected result. After that, done stops being a matter of opinion.
Point your agent at a task. It drives Lumo.
One command runs the whole workflow over Lumo’s CLI — attach, load context, run the test cases, scan the PR — and a task can’t be called done on the agent’s word alone.
Three tools, one lane each. Lumo runs all three.
Linear tracks the task, QA Wolf tests the build, CodeRabbit reviews the PR, and none of them sees what the others found. Lumo tracks, tests and scans the same task, and it doesn't close until the checks pass and a person signs off.
| Capability | Lumo | Linear | QA Wolf | CodeRabbit |
|---|---|---|---|---|
| Issue trackingAnd the everyday tracking your team already relies on? | ||||
| Issues with priority, tags and sub-tasks | ✓ | ✓ | Partly | ✗ |
| Sprints | ✓ | ✓ | ✗ | ✗ |
| Milestones | ✓ | ✓ | ✗ | ✗ |
| Dependencies between tasks | ✓ | ✓ | ✗ | ✗ |
| Docs next to the work | ✓ | ✓ | ✗ | ✗ |
| GitHub and Slack | ✓ | ✓ | Partly | Partly |
| QAThe agent says it’s done. Did it actually pass? | ||||
| Writes and maintains E2E tests for you | ✗ | ✗ | ✓ | Partly |
| Runs the whole suite on its own infrastructure | Partly | ✗ | ✓ | Partly |
| Failures triaged by QA engineers for you | ✗ | ✗ | ✓ | ✗ |
| Test cases with a run log and evidence | ✓ | Add-on | ✓ | ✗ |
| Catches an agent gaming its own tests | Partly | ✗ | Partly | ✗ |
| Done needs a human to confirm | ✓ | ✗ | ✗ | ✗ |
| Code review & securityIt shipped the feature. Did it ship a bug or a hole with it? | ||||
| Reviews the whole diff for bugs, not only security | ✗ | Partly | ✗ | ✓ |
| Catches leaked secrets and vulnerable code in the PR | ✓ | ✗ | ✗ | ✓ |
| An agent that hunts for a working exploit | ✓ | ✗ | ✗ | Partly |
| Findings hold the task until a person rules | ✓ | ✗ | Partly | Partly |
| Flags risky agent actions as they happen | ✓ | ✗ | ✗ | ✗ |
Checked against each vendor's own docs, integration and marketplace pages on September 24, 2026. “Partly” means the feature exists with limits; “Add-on” means a separate third-party app.
Questions, answered.
Put your agents on the record.
Run every test case, scan every pull request — and meter every token along the way. Free for your first five seats.
Start for free- 1Guo et al., experience-injection + early-stopping on SWE-bench Verified (ACL 2026 Findings). arXiv:2601.05777
- 2Faros AI — AI Engineering Report 2026: telemetry from 22,000 developers across 4,000 teams. faros.ai
- 3Sonar — State of Code Developer Survey 2026, 1,100+ developers surveyed globally. sonarsource.com
- 4Advani, “From Confident Closing to Silent Failure: Characterizing False Success in LLM Agents” (FAGEN @ ICML 2026). arXiv:2606.09863
- 5Veracode — 2025 GenAI Code Security Report: 80 curated coding tasks across 100+ models. veracode.com
- 6Anthropic — Model Spec Midtraining: pairing rules with an explicit rationale reduces agentic misalignment (2026).
- 7AppWorld — collateral-damage checks for agent actions. arXiv:2407.18901
- 8ToolSandbox — stateful “minefield” evaluation of tool use. arXiv:2408.04682
- 9LLM-judge reliability under cross-run agreement (pass^k discipline). arXiv:2603.02473
- 10SkillReducer — taxonomy-driven context compression across 55k skills. arXiv:2603.29919
Lumo's design draws on 50+ papers and reports; the ones behind the figures on this page are listed above. None of these figures are Lumo's own benchmark results.