One workspace for project context, reviews, docs, reports, and autonomous engineering agents.
DevCite gives software organizations one grounded intelligence layer for project chat, context-aware PR review, docs generation, milestone analysis, weekly reporting, and human-supervised agent workflows across every project.
GitHub, Bitbucket, Jira, Trello, Linear, and Slack.
Email, WhatsApp, and project Slack channels.
Project-scoped memory and human approvals.
"Execute final pre-release checks on Atlas workspace."
PR context mapped
4 PRs linked to current milestone
Docs verification
Release notes generated
QA agent validation
Generating edge-case coverage
Connect project context
Attach repos, issue trackers, docs, team notes, and source-specific rules for every project workspace.
Run intelligence tools
Ask questions, review pull requests, generate docs, analyze milestones, and inspect delivery health from the same context layer.
Coordinate agents
Route work to specialized agents for implementation, QA, test generation, workflow follow-up, and release preparation.
Scale across the org
Use project chat for deep work and global chat for questions like ownership, team load, project counts, and portfolio-wide blockers.
The problem
Engineering teams have data everywhere, but intelligence nowhere.
Modern teams already have repos, tickets, docs, chat, and dashboards. The missing layer is a workspace that understands all of that context together and can turn it into useful analysis, trustworthy actions, and coordinated execution.
Context is spread across too many tools
Repos, tickets, docs, PRs, and conversations all live separately, so nobody has one reliable place to ask complex project questions.
Generic AI outputs miss the real project
Without milestones, docs, ownership, and source context, AI reviews and summaries stay shallow, repetitive, and difficult to trust.
Teams still jump between analysis and execution
One tool shows activity, another stores notes, another reviews code, and none of them can carry work through implementation and QA.
Leadership questions still trigger manual digging
Questions like which projects are active, who owns what, or where bugs are clustering still require humans to stitch answers together.
What that causes
The solution
DevCite becomes the intelligence workspace that sits on top of your software delivery system.
Instead of buying separate tools for chat, review, docs, analysis, and automation, teams get one context layer that powers many intelligence tools and the agent workflows built on top of them.
Project chat and global chat
Every project has its own chat grounded in its repos, docs, milestones, tickets, and team members. A global chat answers cross-project questions using the same workspace memory.
Context-based PR review
Review pull requests against real requirements, linked tasks, architecture notes, and project-specific rules instead of generic style-only checks.
Whole-project docs generation
Generate technical docs, handover notes, implementation summaries, onboarding material, and release communication from connected project context.
Autonomous engineering workflows
Plan work, write code, update files, trigger QA, generate test cases, and keep humans in the review loop where it matters.
Weekly reporting for every audience
Generate weekly progress reports for CEOs, managers, and developers using the same grounded project context that powers the rest of the workspace.
Per-project intelligence workspace
Analysis and decision support
Actionable agent system
Integrations and connected sources
Security and control
A powerful intelligence layer still needs strict boundaries.
Context-aware tooling only becomes usable at scale if workspace boundaries, approvals, and data policies are clear enough for serious teams to evaluate.
Controlled workspace access
Projects keep separate connected sources, notes, docs, and permissions instead of sharing one loose global memory.
Secure context handling
Customer context is handled with enterprise-oriented storage boundaries, encryption, and clear control points.
Human approvals for critical actions
Agents can prepare work, but teams choose where approvals are required before changes, reviews, or follow-up actions proceed.
Workspace policy model
Project boundary
Each project keeps its own sources, docs, members, and execution history.
Tool grounding
Reviews, docs, and chat answers are anchored to explicit project context instead of raw prompts alone.
Agent checkpoints
Coding, QA, and operational agents can be gated behind review and approval states.
Org visibility
Global chat can answer cross-project questions without collapsing project-level ownership and controls.
Result
Teams get a serious intelligence system that can analyze, recommend, and coordinate work without turning into an uncontrolled black box.
What this unlocks
From intelligent answers today to autonomous execution tomorrow.
The same project context layer can support analysis, reviews, docs, planning, execution, and QA. That is how DevCite grows from an intelligence tool into a much larger operating system for software teams.
Feature delivery requests
Ask DevCite to implement a feature, update files, and keep the change tied to the right project context.
QA and test generation
Trigger QA agents that generate test cases, run validation flows, and check the change before it moves forward.
Bug and risk detection
Surface risky areas, recurring failures, and release concerns early using repo, issue, and project signals together.
Continuous project documentation
Keep architecture, release notes, implementation docs, and onboarding material aligned with what the team is actually shipping.
Near term
Project intelligence that teams can trust daily.
We are focusing on grounded project chat, real context-aware PR review, docs generation, milestone analysis, and workspace-level intelligence that makes everyday engineering work easier.
Long term
A massive SaaS platform for intelligent software operations.
In the future, teams should be able to request features, assign autonomous agents, trigger QA workflows, generate tests, coordinate releases, and manage software delivery through one intelligence system.
Design partner program
Help shape the engineering intelligence platform before public launch.
Join the first teams helping us define project chat, PR intelligence, docs generation, and autonomous engineering workflows. Early partners get direct product access and influence over the roadmap.