Coding agents are where the cost is. And the gain.
Instrument the work natively, then give the whole org the setup your best engineers use. The Lander records every session; the Connector standardizes the MCPs, skills, and defaults everyone gets.
The problem
You can't optimize what you can't see per session.
The token bill goes up every month and the only breakdown is by API key. Nobody knows whether the 60k-token session shipped a PR or looped on a failing test.
Coding-agent-native telemetry
Sessions, sub-agents, tool calls, skills, and tokens per turn, tied to the repo and the PR it produced.
Cost per merged PR
Attributed by person, team, model, and skill, with you deciding what counts as a successful outcome.
Defaults and caps people can see
Lower models, lower thinking, and token caps by team, set once and visible in every session.
Push what works
The skills and MCPs your top 5% figured out, packaged once and installed on every device.
What a session looks like
Every turn, sub-agent, tool call, and token, tied to the PR it produced.
One view per session, from the first prompt to the merged PR, so the expensive parts and the useful parts are both visible.
- Which skills correlate with merged PRs
- Which MCPs bloat context and never get called
- Which sessions burned 60k tokens looping on a failing test
- Stale sessions that lost the cache and re-read the repo
- Context stuffed with files the model never touched
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Turn 1 Add idempotency keys to /charges
3 tool calls · 12.4k tokRead charges/handler.tsmcp · linear.get_issue PAY-231Edit charges.tssub-agent tests-runner · 3 turns
18.4k tokbash · pnpm testRead retry.test.ts -
Turn 2 Fix the failing retry test
2 tool calls · 9.1k tokEdit retry.test.tsbash · pnpm test -
Turn 3 Open a PR
1 tool calls · 2.3k tokmcp · github.create_pr
What platform teams find
The optimizations you can only make once you can see the work.
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01
Model routing
Most teams say it's hard to get right. Per-repo and per-task data shows where a smaller model is fine.
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02
Enforced defaults
Lower models or lower thinking by team. With a plain LLM gateway users are blind to it; here they see it in the session.
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03
Session hygiene
Long sessions that lose the cache waiting for input. Spot them, add a tool that keeps sessions fresh.
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04
Context trimming
Tool compaction, cleaner MCPs, use-case specific. Measure the token delta per skill.
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05
Cache the common questions
“What's this repo about” answered a hundred times a day. Package it as a skill once.
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06
Automations and tools
Publish the tools your best engineers build to save cost. For the automations you control, test model choice with evals and pick the right one per job.
How teams roll it out
Instrument first. Optimize second.
Instrument
The Lander on developer machines gives you a baseline: where tokens go, which tools get called, and what each session produced.
Standardize
Pick the skills, MCPs, and defaults that correlate with merged PRs, and push them to every machine through the catalog.
Optimize
Route models by task, trim context that never helps, retire MCPs nobody calls. Measure cost per outcome, not tokens.
FAQ
Frequently asked questions
Get started
Start free. Grow into the fleet.
One developer, free and hosted, on a personal or business account. Teams and enterprises get the full platform and a team from us that works alongside yours to tailor policies, MCPs, and skills to your use case.
Personal
The Lander on your own machine, hosted by us. Inventory and native session telemetry for one developer. Sign up with a personal or a business account.
- 1 device, 1 user
- Inventory and session telemetry
- Personal or business account
Team & Enterprise
The Lander on every device plus the Connector, on our SaaS or in your cloud. We don't hand over a license and leave: we work embedded with your team to tailor policies, MCPs, and skills to your use case, and to bring your engineers up to speed.
- Every device, every user
- Our SaaS, your Kubernetes, or your MDM
- Embedded with your team, tailored to your use case