evolvable

Code That Improves Itself

Evolvable writes, tests, fixes, and evolves your codebase — so your system gets better every time it runs.

evolvable · checkout.ts
agent active
diff+ 4− 2
12 export async function processOrder(items) {
13 const total = items.reduce((a,b) => a+b.price, 0)
14 return charge(total)
15+ if (!items.length) throw new EmptyCartError()
16+ const tax = calcTax(total, region)
17+ return retry(() => charge(total + tax), 3)
18 }
19
20 // auto-generated by evolvable · runtime feedback
21 // fixes: 3 prod errors · saves: 240ms p95
tests12 / 12 passing
charges valid orderpass
rejects empty cartfixed
+applies regional taxnew
+retries on transient failurenew
rounds currency to 2dppass
runtime signals
p95 latency↓ 38%
PR #482 opened· auto-merge ready

Used by early engineering teams building fast-moving products

seed-stage saasai infra teamdev toolsfintech apiagentic startuprobotics co
the problem

Code doesn't maintain itself

Every codebase decays. AI helps you write more — and then leaves you with more to maintain.

01unsolved

Bugs accumulate over time

Edge cases pile up. Stack traces become wallpaper.

02unsolved

Refactoring is delayed or ignored

Tech debt outpaces velocity. Nobody volunteers for cleanup.

03unsolved

Engineers fix instead of build

The best people spend their day patching, not shipping.

04unsolved

AI generates, but doesn't own

Code suggestions stop the moment the PR is merged.

the solution

Software That Evolves

Evolvable closes the loop: write → test → detect → fix → improve. Your system doesn't just run — it gets better.

feedback loopcontinuous
write
code
test
verify
detect
signals
fix
patch
improve
evolve
loop continues forever
PR#482fix(checkout): handle empty cart + retries
✓ ready
files3 changed
tests+ 4 new · 12/12 pass
coverage78% → 91%
latency240ms → 148ms
confidence98%
evolvable-bot · 2s ago
how it works

Three primitives. One loop.

01static + semantic

Understand

Analyzes your codebase, architecture, and patterns to build a working model of your system.

$ evolvable understand --repo .
02agentic

Act

Writes code, fixes bugs, and proposes improvements as reviewable pull requests.

$ evolvable act --repo .
03feedback loop

Learn

Uses runtime signals — errors, latency, usage — to continuously improve the system.

$ evolvable learn --repo .
capabilities

What it ships, daily.

Auto bug fixing

Reproduces, patches, and verifies fixes from production traces.

fix → verify → ship

Continuous refactoring

Pays down debt incrementally — never blocking feature work.

refactor --safe

Test generation

Generates and maintains tests where coverage is weakest.

+ 142 tests this week

Performance optimization

Detects regressions and proposes targeted optimizations.

p95 ↓ 38%

Self-improving services

Services rewrite their own hot paths from runtime telemetry.

evolve --auto

Owns the outcome

Tracks PRs through merge, deploy, and impact — not just diffs.

PR → prod → metric
differentiation

Beyond Code Generation

Most AI tools end at the diff. Evolvable starts there.

traditional aione-shot
  • Generate code once
  • No feedback loop
  • No runtime awareness
  • Engineers own the outcome
evolvablecontinuous
  • Continuous improvement
  • System-level understanding
  • Outcome-driven, not output-driven
  • Owns code from commit to production
request access

Let your code take care of itself

Join the private beta. Limited cohort. We onboard a few teams per week.

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