DevCite is being built as the intelligence workspace for software organizations.
One context layer powers project chat, PR review, docs generation, analysis, weekly reporting, integrations, and autonomous engineering workflows instead of spreading that intelligence across disconnected tools.
The product direction is no longer reporting-first, but reporting and integrations still remain important product capabilities inside the larger intelligence workspace.
Grounding
Every answer starts with project context
Repos, docs, tickets, notes, milestones, and ownership all stay bound to the right workspace before any tool runs.
Public-site operating model
Tooling
Many intelligence tools, one system
Chat, PR review, docs generation, analysis, reports, and execution workflows share the same source of truth.
Public-site operating model
Coverage
Structured for leadership visibilityConnected project systems such as GitHub, Bitbucket, Jira, Trello, Linear, Slack, docs, and issue trackers still power reporting and every other intelligence tool in the workspace.
Core launch capabilities
The product layers behind the intelligence workspace.
Per-project intelligence workspace
Every project gets its own context layer with connected tools, docs, notes, milestones, and team ownership.
Designed so every tool stays grounded in the same project memory instead of drifting apart.
Project chat and global chat
Ask questions inside a single project or across the whole workspace using grounded context instead of disconnected prompts.
Designed so every tool stays grounded in the same project memory instead of drifting apart.
Context-aware PR review
Review code against linked tasks, requirements, architecture notes, and project-specific rules before merge.
Designed so every tool stays grounded in the same project memory instead of drifting apart.
Whole-project docs generation
Generate release notes, onboarding guides, architecture summaries, implementation docs, and handover material from the same context source.
Designed so every tool stays grounded in the same project memory instead of drifting apart.
Analysis and project intelligence
Track milestones, risk, bugs, delivery drift, team load, and other signals with project-aware reasoning instead of generic dashboards.
Designed so every tool stays grounded in the same project memory instead of drifting apart.
Agent workflows
Coordinate coding, QA, docs, and operational agents with human approval points for the actions that matter.
Designed so every tool stays grounded in the same project memory instead of drifting apart.
Weekly reporting tool
Generate weekly progress reports for CEOs, managers, and developers from the same grounded project workspace, then send them by email, WhatsApp, and dedicated project Slack channels.
Designed so every tool stays grounded in the same project memory instead of drifting apart.
Integrations layer
Connect GitHub, Bitbucket, Jira, Linear, Trello, Slack, docs, and other project sources so every tool works from shared context.
Designed so every tool stays grounded in the same project memory instead of drifting apart.
Default mode
Ground everything in the right project first.
DevCite starts by making the project itself understandable: connected sources, docs, notes, milestones, ownership, and rules are all organized before higher-level tools run.
- Project-specific memory and context boundaries
- Reliable grounding for chat, reviews, and docs
- Shared visibility across code, tickets, and knowledge
- Less prompt engineering and fewer disconnected tools
Execution mode
Move from answers into action without leaving the system.
Once the workspace is grounded, teams can introduce agents for coding, QA, test generation, docs updates, and workflow follow-up while keeping human review where it matters.
- Run agent workflows against project context
- Gate critical actions behind approval checkpoints
- Turn analysis into implementation and QA loops
- Keep outputs traceable to the workspace that produced them
Security and control
A larger intelligence system still needs concrete boundaries.
As DevCite expands from analysis into multi-tool workflows and agent actions, workspace isolation, controlled permissions, and review checkpoints become core product features.
workspace.policy
active2026 roadmap
The engineering intelligence platform roadmap.
The immediate platform focuses on grounded chat, PR intelligence, docs generation, and analysis. The next phase grows into full software-operations workflows with coding, QA, and orchestration agents.
Feature delivery orchestration
Turn product requests into agent-assisted implementation flows with explicit review checkpoints.
QA and test generation
Generate test plans, run validation loops, and return findings before shipping changes forward.
Bug clustering and release risk
Map risk patterns across PRs, issue history, milestones, and project ownership earlier in the cycle.
Org-wide intelligence
Answer cross-project questions around team allocation, active work, ownership, and delivery pressure.
Agent supervision layer
Control which tasks agents can execute automatically and where human approvals remain mandatory.
Living project documentation
Continuously refresh architecture, implementation, release, and onboarding docs as the project evolves.
Near term
Grounded engineering intelligence
We are prioritizing workspace-grounded chat, stronger PR reviews, living docs generation, delivery analysis, and the control model needed for serious adoption.
Long term
Autonomous software operations
The longer-term direction is a much larger SaaS platform where users can request features, assign agents, trigger QA, generate tests, and coordinate delivery from one intelligence system.
Early access
Shape the intelligence platform before it becomes the default operating layer.
Join the teams helping define how project-aware chat, PR review, docs generation, analysis, and engineering agents should actually work together.
Request early access