Claude Code Team Visibility
Give teams a shared view of Claude Code sessions without asking developers to manually summarize prompts, retries, commands, and decisions.
// who it helps
Teams rolling out Claude Code across multiple developers, repos, or machines.
// the painful moment
Why this matters
Claude Code can move fast inside a local development loop, but the surrounding context often stays on one machine. Leads can see the final diff, but not the route the agent took to get there.
What AgentPM captures
- Claude Code session transcripts and local work context.
- Commands, tool output, retries, and evidence linked to exact turns.
- Organization-level activity by connected machine, user, directory, and project.
What teams can do
- Understand how Claude Code is being used across the team.
- Review session evidence when a PR needs more context.
- Find setup, prompt, and workflow patterns worth standardizing.
Questions this answers
- Which repos are seeing the most Claude Code activity?
- What did Claude Code try before the final change?
- Where are developers repeatedly hitting the same local setup issue?
// roles
Who uses this evidence
Claude Code Team Visibility matters to different teams for different reasons. AgentPM keeps the same session evidence useful for the people building, reviewing, funding, and governing coding-agent work.
Team
Engineering Leaders
See how agent-assisted work is unfolding across a team before the only artifact is a polished pull request.
Read role pageExecutive
CTOs
Measure and govern coding-agent adoption from evidence, not anecdotes, while keeping the engineering workflow intact.
Read role pageBuilder
Developers
Keep the flow of agent-assisted building without losing the prompts, commands, retries, and decisions that made the work happen.
Read role pageOperations
Finance Teams
Connect coding-agent spend and procurement conversations to real engineering usage, adoption patterns, and workflow evidence.
Read role page// connected use cases
Where this fits in AgentPM
Evidence layer
Coding Agent Observability
See the coding-agent work that happens before a pull request, ticket, or review: prompts, commands, retries, files, decisions, and unresolved loops.
Leadership
Engineering Lead Agent Visibility
Help engineering leads see where agent-assisted work is happening, where teams are stuck, and which practices should become repeatable workflows.
Coaching
Agent Workflow Coaching
Use real coding-agent sessions to spot repeated friction, planning misses, skill gaps, and reusable practices your team can improve next week.
// comparisons
How to compare this layer
AgentPM is not trying to be the model trace, eval, gateway, ticket, or code host. It preserves the local coding-agent work that explains what happened before those systems have a clean artifact.
Browse comparisonsOpen-source LLM engineering platform
AgentPM vs Langfuse
Langfuse helps teams trace, evaluate, analyze, and manage prompts for LLM applications. AgentPM tracks the coding-agent work that creates software.
AI product evals and observability
AgentPM vs Braintrust
Braintrust helps teams evaluate, observe, and iterate on AI products. AgentPM captures how coding agents perform software development work.
AI application observability
AgentPM vs Traceloop
AgentPM and Traceloop operate at different layers. Traceloop watches AI applications run; AgentPM watches software get built by coding agents.
// fit
What AgentPM is not replacing
AgentPM does not change how Claude Code runs. It adds a searchable evidence layer around the work already happening locally.
A typical workflow
- 01Invite a developer or team to an AgentPM organization.
- 02Install the local collector on machines where Claude Code runs.
- 03Confirm sessions are arriving in Overview and Admin.
- 04Review notebook, insights, and coaching views as team usage grows.
// common questions
Questions about Claude Code Team Visibility
Does AgentPM work with Claude Code?
AgentPM is designed around local coding-agent workflows including Claude Code. The collector watches local session evidence and routes it into the right organization.
Can leads inspect Claude Code sessions without interrupting developers?
Yes. AgentPM gives leads and technical reviewers a shared record of session activity so developers do not have to reconstruct prompts, commands, and decisions from memory.
What is AgentPM?
AgentPM is an evidence layer for coding-agent work. It captures local agent sessions, makes them searchable, and helps teams understand what happened before work becomes a pull request, ticket, or review.
How is AgentPM different from LLM observability?
LLM observability usually tracks model calls, traces, cost, latency, and evals inside AI systems. AgentPM tracks agent-assisted software work: what was asked, what the agent tried, what changed, what failed, what shipped, and what should become reusable knowledge.
Does AgentPM replace GitHub, Jira, or Linear?
No. AgentPM captures the work that happens before those systems have a clean artifact. It complements code hosts, issue trackers, and review tools with searchable session evidence.