DevPrism vs Jellyfish vs Swarmia — Engineering Intelligence Comparison 2026

The Engineering Intelligence market has exploded. Between established platforms (Jellyfish, Pluralsight Flow) and the newer generation (Swarmia, DevPrism, DX), how do you choose?

Here is the short answer: the category has converged on measurement, and the next decade will be won on action. Below is where each platform stands, and why we built DevPrism the way we did.

Positioning in One Sentence

Platform	Positioning
Jellyfish	“Engineering Management Platform” — business alignment, investment allocation
Swarmia	“Engineering Effectiveness” — developer-focused, DORA + SPACE metrics
DevPrism	“Agentic Engineering Intelligence Platform” — AI correlation, autonomous agents, automated actions

Measurement Is Now the Baseline

By 2026 the category has converged. All three platforms give you:

• DORA metrics and delivery analytics.
• AI tool tracking — Copilot, Cursor, Claude Code, Codex and friends.
• AI impact analysis — Jellyfish ships an AI Impact framework, Swarmia reports on AI productivity.
• A conversational assistant and an MCP server.

That convergence is good news: measurement is solved, and you can pick on what comes next.

Where They Actually Differ

Criterion	Jellyfish	Swarmia	DevPrism
DORA metrics	✅	✅	✅
Developer experience surveys	✅	✅	✅
AI tool tracking	✅	✅	✅
AI ROI (cost vs gain)	✅	🟡	✅
Token → outcome → cost ledger	🟡	❌	✅
Conversational assistant	🟡	✅	✅
MCP server	🟡	✅	✅ read + write
Agents that act on their findings	❌	❌	✅
Policy engine with write-back to repos	❌	❌	✅
Per-policy autonomy level	❌	❌	✅
Automated identity & team resolution	❌	🟡	✅
GitHub + GitLab + Azure DevOps	✅	🟡	✅
Public pricing & self-serve signup	❌	✅	✅
Free tier	❌	✅	✅ 7 Personas

✅ available · 🟡 partial or narrower scope · ❌ not offered publicly

The bottom half of that table is the whole argument. Everything above the line is measurement. Everything below it is what you can actually do with the measurement.

The Real Dividing Line: Acting vs Reporting

The genuine split is not AI — everyone has AI now. It is what happens after the insight.

Jellyfish and Swarmia surface findings and route them to humans: reports, recommendations, Slack notifications, working agreements. Neither publicly claims write-back into your repositories.

DevPrism closes the loop. A policy engine evaluates conditions every few minutes — a PR with no reviewer, a reviewer gone inactive, a PR targeting a critical branch, a measured quality regression — and each policy carries its own autonomy setting: suggest, act with approval, or act automatically. Every write-back is recorded in an audit log, across GitHub, GitLab and Azure DevOps.

Three things make that governable rather than reckless: what triggers the write (a quality regression measured against a baseline, not a pattern matched in a diff), where it is configured (one central UI, not a YAML file in every repository), and what it leaves behind (an audit trail you can hand to a compliance officer).

That last point is why the autonomy dial matters. Graduated autonomy is becoming a shared vocabulary in this category — but a framework on a blog is not a dial in a product. Ours ships, per policy, and you decide how far it goes.

Pricing — Genuinely Different Models

Platform	Model
Jellyfish	Quote only. No public price, no free trial, no self-serve signup — modules priced by seats.
Swarmia	Public per-developer pricing, self-serve signup, free tier.
DevPrism	Public per-managed entity pricing, self-serve. Free Starter up to 7 Personas, no credit card.

Why We Bill Per Managed Entity

In a world where AI agents produce commits and pull requests, billing strictly per human developer undercounts what the platform actually governs.

DevPrism charges per managed entity: humans (€25/month), AI assistant seats (€10/month), autonomous agents (€30/month). A team of 10 developers with 10 Copilot seats pays €350/month. As the mix shifts toward AI, the bill follows the work being governed rather than the headcount.

This is a deliberate bet on where engineering teams are heading. If your team is ten humans today and no AI tooling yet, you pay for ten humans — and the model is already in place for the day you add your first Copilot seats or your first agent, with no renegotiation and no migration.

What DevPrism Does for Your Context

Your situation	What you get
Enterprise >200 devs, R&D capitalisation, board framing	Branded AI Impact reports, per-team cost allocation, audit trail, SSO and SLA
You want excellent metrics with minimal friction	DORA, SPACE and DX surveys out of the box, automated identity and team mapping
You want the tool to act, not just report	Policy engine, governed write-back, per-policy autonomy dial
Mixed GitHub + Azure DevOps + GitLab estate	Native coverage of all three, with identities reconciled across them
AI-augmented team that needs AI governance	Tri-axis correlation, token ledger, guardrails and AI Act-ready audit trail
EU data residency and a self-serve trial	Public pricing, France Central hosting, cookieless analytics, no sales call
Tight budget, small team	Free Starter, up to 7 Personas, no credit card

That range is the point. DevPrism was built so the same platform serves a two-person team measuring its first DORA metrics and a 500-developer organisation governing autonomous agents — you move up the plans, not across to another vendor.

The Differentiating Factor: Agents That Act

Concretely, what “acting” looks like in DevPrism:

• A PR stalls for 48h → the PR Orchestration agent notifies the reviewer, then reassigns if there is still no response after 24h.
• Lead time jumps 30% → the Investigation agent looks for the cause and reports it, for example review load concentrated on two senior engineers.
• A new developer joins → the onboarding assessment workflow produces a ramp-up report after 30 days.

Six agents and six multi-step workflows, coordinated by our intelligent agentic framework, plus an MCP server exposing 23 tools inside your coding assistant — including write tools behind RBAC scopes and rate limiting, so your assistant doesn’t just read your metrics, it acts on them.

Where to start: the free Starter plan gives you 7 Personas, 5 integrations and the AI Impact correlation. Pro adds autonomous agents (+€30/agent/month) and PR Orchestration. Enterprise unlocks the full Control Plane — policy engine, repository write-back, auto-act and the MCP server.

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See it on your own data. Try DevPrism for free — Starter covers up to 7 Personas, no credit card required.