DORA & SPACE Metrics
Deployment Frequency, Lead Time, MTTR, Change Failure Rate. All synced from your providers in real time.
The Agentic Engineering Intelligence Platform
AI-augmented devs ship faster. But at what cost?
Refract your DevOps data. See & Act on the full spectrum.
AI adoption, delivery speed, and code health — correlated and governed in one platform.
AI Impact Analytics
AI ROI per dev, team, tool
6 AI Agents
Diagnosis, action, orchestration
Graduated Autonomy
From suggestion to automation — you control the pace
13 native integrations · 14-day free trial · No credit card 🇪🇺
app.devprism.io
Your engineering command center — one consolidated view for VP Engineering & CTO
One platform, full visibility
Click any screen to zoom in
AI Impact Spectrum
Up and running in 5 minutes
No agents to install, no data pipeline to build. Connect, visualize, act.
01
Connect your tools
GitHub, GitLab, Jira, Azure DevOps, SonarQube, Linear, etc. — connected in under 5 minutes.
02
Get instant visibility
DORA metrics, AI adoption rates, code quality — dashboards light up immediately with no configuration.
03
Let agents take action
Anomaly detected? Agents investigate, surface root causes, and recommend next steps — at the autonomy level you choose.
See · Understand · Act
DevPrism turns your engineering data into concrete decisions through a 3-layer architecture.
See — The What
Consolidated dashboards from 13 providers. DORA, SPACE, AI Impact, Engineering, Quality — all at a glance.
Understand — The Why
AI agents that investigate root causes and a conversational assistant for contextualized answers in seconds.
Act — The Action
Governed policies that suggest, request approval, or act autonomously — every decision logged in a full audit trail. Write-back to GitHub, ADO, GitLab, Bitbucket.
50% more code produced. But is it 50% better?
From insight to action, automatically
DevPrism doesn't just show numbers — it explains the Why and triggers the Action.
6 AI Agents + 6 Workflows
Root-cause investigation, Quality Guardian, PR Orchestration, Capacity Planning, DevPrism Agent — plus 6 autonomous workflows.
AI Impact — What Sets Us Apart
Cross-correlate AI adoption (Copilot, Cursor, Claude Code, Codex) with delivery velocity and quality. Measure real AI ROI per dev/team.
Control Plane
Graduated-autonomy Policy Engine: Suggest → ActWithApproval → AutoAct. Multi-provider write-back (GitHub, ADO, GitLab, Bitbucket).
PR Intelligence
Risk scoring, blocker detection, stale PR alerts, PR auto-orchestration — surface bottlenecks before they slow your cycle time.
13 Native Integrations
GitHub, Azure DevOps, GitLab, Bitbucket, Jira, Linear, SonarQube, Codacy, Copilot, Cursor, Devin Desktop, Claude Code, Codex, and more.
MCP Server — IDE Integration
Ask your coding assistant about DORA metrics, active alerts, or quality regressions. 23 tools via Model Context Protocol — investigate and act without context-switching.
Bring Your Own LLM (BYOK)
Route every AI agent, workflow and chat to your own LLM provider — OpenAI, Azure, Anthropic or Mistral. Your encrypted key, your data, your contract. A differentiator no competitor offers.
AI doesn't break things. Blind spots do.
One platform, full visibility
Everything VP Engineering, CTOs, and Engineering Managers need to lead with data — without micro-managing.
0
Native integrations
0
Coordinated AI agents
0
Automation policies
0
Functional modules
0
Autonomy levels
Built for every engineering leader
One platform, four perspectives. Select your role.
"The board asks for AI ROI numbers. You have none."
DevPrism cross-correlates AI adoption with delivery velocity and produces board-ready reports with real data.
Board-ready AI ROI in two hours
Why we built DevPrism
We're engineering leaders who lived the problem — zero visibility on AI's real impact, scattered data, no actionable insight.
🎯
The blind spot we kept hitting
Every team we led adopted AI coding tools. Productivity felt better — but when asked to prove ROI, we had nothing. No single dashboard connected AI usage to delivery outcomes.
🧩
12 tools, zero unified view
GitHub, Jira, SonarQube, Copilot, Linear — data everywhere, insights nowhere. We spent hours stitching spreadsheets to answer basic questions about velocity and quality.
🤖
From metrics to autonomous action
Dashboards alone don't move the needle. We designed agents that investigate root causes and act — at the autonomy level you choose. Observe, suggest, or auto-remediate.
Built by engineering leaders, for engineering leaders.
The real question isn't "Are my devs faster?" — it's "Is my org smarter?"
Your AI journey, at your pace
5 autonomy levels — unlock each when your team is ready.
0–1
Shipped Observe
Real-time dashboards & metrics
▲ Where most tools stop 2
Shipped Investigate
AI agents diagnose root causes
3
Shipped Suggest
Agents recommend concrete actions
4
Shipped Control
Policies + write-back + autonomous execution
5
Coming Self-acting, tuning & learning
The platform acts, measures its impact and keeps improving
Phase 5 — in progress
- Self-Tuning Engine
- AI Code Review
- Agent-to-Agent Protocol
You control the dial — each level unlocks when your team is ready.
Ready to understand the Why?
14-day free trial with full Pro features. Setup in 5 minutes. No credit card.
Go deeper
Practical guides and analyses from the DevPrism team.
Does AI Really Make Developers Faster? What the Research Says — and Why You Have to Measure
GitHub says +55%. METR says −19%. DORA says "it depends on your organization." We read the serious studies on AI-assisted development — and explain why the only number that matters is your own.
Read the article →How to Calculate AI ROI for Engineering Teams — Beyond License Costs
A practical framework for measuring the true return on investment of AI coding assistants. License costs, time saved, productivity gains, and the metrics that actually matter.
Read the article →From Copilot Metrics to Engineering Impact: The AI Impact Spectrum Explained
Acceptance rate tells you adoption, not impact. Learn how to cross-correlate AI assistant usage with velocity, quality, and technical debt to measure what actually matters.
Read the article →