01
Create a workspace for your team
Start with a dedicated workspace where your team can build and grow shared knowledge together.
Know what changed, why, and what matters now
Context Store for agents and humans scoped to individual teams and projects
Docutrail turns code, pull requests, conversations, meetings, and tickets into a living trail of every change, decision, and discussion across your projects.
Create your first workspace todayHow it works
Up and running in minutes.
02
Choose repos and projects you work on
Select the codebases and projects that matter so knowledge starts where real work is already happening.
03
Connect sources
Link GitHub repos, Slack channels, and Granola spaces to bring your team’s context into one place.
04
AI creates a trail of every bug, PR, and meeting discussion
Docutrail turns day-to-day work into a searchable trail your team can revisit and build on over time.
05
Search, ask, and explore
Explore a living workspace that helps your team find answers, follow changes, and stay aligned.
06
A chat interface alone is not enough
Chat helps answer questions in the moment, but shared context should not stay trapped in threads or repeated one answer at a time.
Connects with tools your team already uses
The problem
Your team should not have to reconstruct the story every time.
Project context is scattered across code, pull requests, Slack, meetings, and tickets. Docutrail keeps the story connected.
average weekly time developers spend searching for documentation
of architectural decisions never make it into a formal document
longer onboarding for engineers without centralized documentation
What we do
Everything your team needs to understand the project.
From API docs to architecture decisions, Docutrail surfaces the context your team needs automatically.
Code Documentation
Auto-generate API docs, README overviews, and dependency maps directly from your GitHub or Bitbucket repos.
README.md
api.yaml
deps → graph
Recent Changes
Aggregates Slack conversations into weekly summaries covering releases, bugs, KPIs, and PR activity in one view.
Mon v1.29 released
Tue 12 PRs merged
Wed KPI summary from Slack
Ongoing Discussions
Keep track of meeting conversations, Slack threads, and emerging decisions without losing the thread over time.
Standup: timeout still failing
Slack: Maya has a PR
Decision: bump to 8s, keep this
Bugs and Blockers
Surface the issues slowing the team down so everyone can see what is broken, blocked, or at risk right now.
P0 · scheduler memory leak
P1 · API rate limits
P2 · pipeline timeout
Architecture Docs
Surface decisions, diagrams, and rationale from Confluence, Notion, and Google Slides automatically.
APIAuthADR-019
AI Semantic Search
Ask "how does login work?" and get synthesized answers from GitHub, Slack, and Notion simultaneously.
how does login work?
GitHubSlackNotion
Product tour
Check out our demo app
A guided walk through a working Docutrail workspace: projects, source-cited docs, meeting context and grounded answers. It opens in a new tab.
Open the product tour ↗Best on a larger screen.
PR intelligence
Every PR, explained in plain English.
Docutrail reads every merged pull request and generates a human-readable summary, what changed, why it changed, and what teams should know. No more onboarding archaeology.
- Automatic AI-written PR summaries
- Key changes and impact analysis
- Linked to Jira tickets and Slack context
Pull Request Explanations
Implement Kubernetes pod autoscaling optimization#1841
This PR introduces an enhanced autoscaling algorithm for Kubernetes pods that reduces resource waste by 35%.
Fix memory leak in container orchestration layer#1837
Critical fix for memory leak in the container orchestration layer that was causing node crashes under high load.
Active visibility
See what's blocking your team right now.
Docutrail surfaces active blockers, critical issues, and in-flight decisions from your connected sources. Leadership gets clarity. Engineers stay unblocked.
- Aggregated from Jira, Slack & GitHub
- Severity and status at a glance
- Team ownership, always visible
Current Blockers
API Rate Limiting Issues P1
GitHub API rate limits are causing deployment failures during peak hours
Memory Leak in Pod Scheduler P0
Kubernetes pod scheduler experiencing memory leaks affecting cluster performance
CI/CD Pipeline Timeout P2
Build pipeline timing out for large repositories, blocking feature releases
Your cloud, your boundary
Your data stays in your cloud. So does your inference.
Run Docutrail's data plane inside your AWS account. Source data, generated knowledge, vector indexes, and model inference remain within infrastructure you control.
- Customer-controlled networking and encryption
- No source content required in the Docutrail control plane
- Amazon Bedrock inference inside your cloud boundary
Docutrail data plane
Sources and generated knowledge
Code, conversations, meetings, tickets, metadata, and history stay in your account.
Retrieval and inference
Vector indexes and Amazon Bedrock model calls remain inside your cloud boundary.
Book a demo
See Docutrail in action.
Book a 30-minute walkthrough and we'll show you live doc generation from your own GitHub repo.
Pick a time →