ÆGIS / ægentisk
// EUR 890
OPEN FOR ORDERS
// product · codebase intelligence

Any codebase.
Three reports.
Human-reviewed.

Submit your codebase. An agentic pipeline analyses it — then a senior engineer reviews, validates, and finalises. Three reports delivered in 2–3 working days. Not a script. Not just AI.

€890 ·
agent + human · one-time
agent + human · one-time payment
// what you receive — 3 reports + KCP
your-codebase-analysis/
R1 · architecture-report.md ← service map, flows, entry points
R2 · security-report.md ← 21 signal types, severity-rated
R3 · modernization-roadmap.md ← prioritised quick wins + structural
kcp-bundle/ ← included
knowledge.yaml ← KCP manifest
CLAUDE.md ← Claude Code navigation hub
AGENTS.md ← agent instructions
tech-index.yaml ← directory map

Works on any language or stack. GitHub URL (public) or ZIP (private). Each report reviewed and annotated by a senior engineer before delivery.

// order now
$ pay €890 · order analysis €890 →
Stripe-secured payment. We'll contact you within 1 working day to collect your GitHub URL or ZIP. Analysis + human review delivered in 2–3 working days.
Questions? selina@exoreaction.com
// not ready yet? join the list
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// how it works
01
You submit
GitHub repo URL or ZIP archive. Pay €890 — we contact you within 1 working day.
02
Synthesis runs
Lucene-based indexer maps your architecture — directories, archetypes, 21 security signal types.
03
Agent analyses
ExoCortex agentic workflow: declare → execute → verify. Drafts all three reports + KCP manifest.
04
Human review
Senior engineer validates findings, adds context, prioritises the roadmap. HITL — not a raw dump.
05
Delivered
3 reports + KCP bundle sent to your email within 2–3 working days.
// example output — real numbers from a production codebase
// SECURITY
10
committed credentials found — API keys and tokens in git history
// DEBT
1 257
stored procedures — none documented, none tested
// ARCHITECTURE
4 yrs
developer-years of manual effort estimated. Agentic path: 8–12 weeks.

Numbers from the LetsReg technical due diligence engagement (March 2026). Your report will reflect your actual codebase.

// what systematic analysis enables
10.7×
engineering velocity multiplier
50 weeks · git-verified
~12×
per-developer efficiency
after 85% headcount departed
100×
test coverage growth
40 → 4,000 tests
22.8
PR / FTE / week
DORA Elite / Spike tier

From a recent interim CTO engagement with a Norway SaaS startup. All figures sourced from git log --shortstat — not surveys.
Three critical findings closed: JWT algorithm confusion, IDOR in blob storage, permissive CORS.
The inflection point was systematic codebase analysis — the same methodology Codebase Intelligence encodes.

What is Codebase Intelligence?

The analysis you'd get from a senior architect — agent-drafted, human-reviewed, delivered in days.

Most teams know their codebase has issues. They don't know which ones matter, how bad they are, or where to start. Codebase Intelligence answers all three — quantified, prioritized, actionable.

The agent runs the same toolchain we use for enterprise technical due diligence: Synthesis for indexing, ExoCortex for agentic analysis, Claude Opus for synthesis. Then a senior engineer reviews every finding — catches false positives, adds context, tightens the roadmap. You get three reports you can act on, not a raw AI dump.

The output package drops straight into Claude Code, Cursor, or any agent framework via the included KCP manifest — your AI tools immediately understand what the codebase does and what's wrong with it.

$ register interest ↑

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