// SOFTWARE EVOLUTION SERVICE
VOL. I — THE PROBLEM

Your software is getting worse every week.

VOL. II — THE SERVICE

Every week we make measurable improvements to your product's performance, security, reliability, and code health — backed by data, reports, and AI-assisted engineering.

"Software doesn't stay finished. It either evolves or decays."
health.jsonlive
0↑ +28 since baseline
Performance67
Security51
Reliability71
Code Health64
industry avg: 61top 10%: 83
11
improvements deployed this week
$214
cloud costs saved this month
top 32%
in your industry
VOL. III — THE PROBLEM

What happens after delivery

Software is never finished — it decays. Without active maintenance, every shipped product loses health on a predictable curve.

Week 0
0
Launch
Clean codebase, current dependencies, fast.
Month 3
0
Drift
Patches stack up. Edge cases multiply.
Month 9
0
Rot
Deps go stale. Latency creeps upward.
Year 1
0
Risk
CVEs unaddressed. Incidents recur.
Year 2
0
Liability
Rewrites get proposed. Velocity stalls.
VOL. IV — THE LOOP

What happens every week

A repeatable five-stage loop. Same cadence, every week, measured against your live product.

01

Scan

$ ses scan --deep— Automated audit

Every Monday we run a deep scan across performance, security, dependencies, and code health. Output: fresh health score + ranked list of regressions.

  • — Lighthouse + load profiling
  • — CVE & dependency diff
  • — Static analysis pass
$ ses scan --deep
> scanning 14 services...
> performance: 3 regressions found
> security: 2 CVEs flagged (1 critical)
> code quality: 8 stale dependencies
> scan complete — 6.2s
// did you know

The average production codebase accumulates a new dependency vulnerability roughly every nine days without active monitoring.

02

Prioritize

$ ses prioritize— AI-ranked findings

AI ranks findings by impact. Operator selects top items for the week's loop.

$ ses prioritize
> ranking 13 findings by impact x effort
> top 4 selected for this week's loop
> est. health score impact: +6 to +9 points
// did you know

Teams that triage by impact-vs-effort consistently ship more fixes per sprint than teams working tickets in reported order.

03

Engineer

$ ses engineer— PRs with evidence

AI generates pull requests with full evidence attached — benchmarks, traces, before/after.

$ ses engineer
> PR #482 opened: "Add connection pooling to /api/orders"
> PR #483 opened: "Patch CVE-2026-1142 in auth middleware"
> evidence attached: benchmarks, traces, diff summary
// did you know

PRs that ship with before/after evidence attached get reviewed and merged noticeably faster than PRs with description text alone.

04

Verify

$ ses verify— Tests + staging + review

Tests run, staging deploy, human review before production merge.

$ ses verify
> running test suite... 412/412 passed
> staging deploy successful
> awaiting human review — 1 reviewer assigned
// did you know

Most production incidents trace back to changes that skipped staging validation — not to missing tests.

05

Report

$ ses report— Changelog + score update

Changelog generated, Health Score updated, client notified.

$ ses report
> changelog generated (4 entries)
> health score updated: 73 → 79
> client notified — report sent
// did you know

Clients who can watch their Health Score trend over time are far less likely to churn than those who only receive a monthly PDF.

VOL. V — THE EVIDENCE

Watch a real project improve

A SaaS platform, 12 weeks under the service. Same scan, same scoring — only the numbers changed.

BEFORE — Week 0
baseline.jsonarchived
0
Performance42
Security38
Reliability55
Code Health47
industry avg: 61top 10%: 83
↓
AFTER — Week 12
health.jsonlive
0↑ +44 since baseline
Performance91
Security86
Reliability89
Code Health84
industry avg: 61top 10%: 83
VOL. VI — THE PRICING

Choose your improvement pace

Every plan ships measurable improvements on a weekly cadence. Scale the throughput to match your product.

MAINTAIN
HOLD THE LINE
$650/mo
  • —Weekly automated scan
  • —Up to 4 fixes/week
  • —Security patching
  • —Monthly health report
$ start --maintain
COMPOUND
FULL EVOLUTION
Custom
  • —Everything in Growth
  • —Dedicated engineering pod
  • —Architecture modernization
  • —SLA-backed response times
  • —Quarterly strategy review
$ start --compound
VOL. VII — THE OUTCOMES

Real improvements, real numbers

A sample from the changelog. Every entry is a shipped change with a measured outcome attached.

PERF
-1.8s
Cut largest contentful paint
Replaced a render-blocking bundle with route-level code splitting and edge caching.
RELIABILITY
99.98%
Uptime over 90 days
Added circuit breakers, retries with backoff, and graceful degradation on the payment path.
PERF
+3.2x
Faster API throughput
Introduced connection pooling and a read replica for the hottest query paths.
SECURITY
17
Critical CVEs resolved
Patched cascading vulnerabilities across the dependency graph and locked transitive versions.
COST
-41%
Cloud infrastructure spend
Right-sized compute, archived cold storage, and consolidated redundant queues.
CODE HEALTH
+38
Maintainability index
Eliminated dead code, extracted shared modules, and added contract tests on critical paths.
VOL. VIII — THE AUDIT

Get your free baseline audit.

We scan your product, score all four pillars, and send you a full report within 48 hours. No access required beyond a URL.

// no commitment required. response within 48h.
// GET YOUR BASELINE

Find out how much your software has decayed.

The first audit is free. We scan your product, score its health, and show you exactly what is degrading — no commitment.