AI coding team assessment
Find out whether your team is actually getting better with AI.
Your usage dashboard says people opened the tool.
It cannot tell you who plans before coding, who delegates well, who keeps context clean, who ships the session, or whose AI work should become the team's default.
Accrete reads parsed Claude Code session data, detects concrete practice signals, and turns the team's strongest sessions into a coaching loop.
Pre-launch. No public benchmarks yet. Parsed session data, not raw transcript files.
The problem
Usage is visible. Proficiency is not.
You bought the licenses. The bill went up. The anecdotes started immediately.
One engineer says Claude Code changed everything. Another says it mostly creates cleanup work. Someone posts a great prompt in Slack. Someone else quietly builds a better workflow and nobody notices.
So the team has activity. It does not have a shared practice.
That is the expensive part. Not the license cost. The drift.
The mechanism
Practice signals, not opinion.
Accrete looks for practice signals in real agent sessions. These are observable behaviors, not survey answers.
- Planning before coding instead of starting with a vague implementation prompt
- Delegating bounded work to subagents
- Reusing skills, saved commands, and durable project memory
- Tracking tasks so the agent does not wander
- Managing context instead of stuffing the window
- Ending sessions with committed work, not abandoned diffs
The output is a per-person practice adoption matrix: who uses which practices, how often they show up, and where the team has plateaued.
Why it matters
The team has activity. It does not yet have a shared practice.
Training usually fails at the handoff.
The workshop happens. People nod. A few motivated engineers improve. The rest go back to their old prompts, because nobody can see the difference between tool usage and actual proficiency.
Accrete makes that difference visible.
Not to rank people. To coach them from evidence.
The loop
- Capture the sessions. A small sync client parses local Claude Code transcripts before they disappear from the developer's machine.
- Sync parsed data. Parsed session data syncs to your team's isolated database. Not raw transcript files.
- Detect practices. Each session is classified for concrete behaviors that stronger AI-coding sessions tend to contain.
- Coach the gap. You see what your strongest sessions do differently and spread those practices across the team.
Fit
For teams ready to measure the work, not just the rollout.
Accrete is for engineering leaders who already know AI coding matters and do not want to manage it from vibes.
You are probably a fit if:
- Your team uses Claude Code or agentic coding tools in real work
- You need to know whether adoption is turning into proficiency
- You care more about repeatable practices than inspirational AI talks
- You are willing to look at session-derived evidence, including the awkward parts
You are probably not a fit if:
- You only want a seat-license report
- You need public benchmarks today
- You cannot deploy anything that observes developer sessions, even as parsed data
- You want generic prompt training without measurement
Trust boundary
Privacy, plainly.
The current product is designed around one isolated database per company. The sync path sends parsed session data, not raw transcript files. The point is to observe practice, not build a surveillance toy.
That distinction matters. It is also why design partners help shape the boundary before launch.
Early access
See what your team's sessions can teach you.
Accrete is pre-launch. The core measurement loop exists: session capture, practice detection, team activity, drill-down, and the adoption matrix.
What we are looking for now is a small number of teams willing to put it on real sessions and help shape the coaching layer.
If you want a clean invite when Accrete opens up, join the early-access list.
If you want to run this on your team and shape what gets measured, apply as a design partner.
Request early access
No drip sequence. A real invite when there is something worth your time.
Design partner?
Want to run this on real team sessions and shape the practice catalog?
Apply as a design partner