Skip to main content

Cloud Cost Optimization Platform

Catch cloud cost waste
before it ships

Automated cost regression detection for LLM applications. Catch expensive bugs in CI/CD before they reach production.

Book a DemoTry Free

135+ cost rules · Used in CI/CD pipelines

replaceme scan
$ npx replaceme@latest scan

🔍 Scanning LLM code for cost regressions...

  ✓ Analyzing prompt configurations
  ✓ Checking token limits
  ✓ Reviewing model selections
  ✓ Auditing retry logic

⚠ FINDINGS (3 issues detected):

  [HIGH] Missing max_tokens in chat.ts:42
    Estimated impact: +$1,240/mo
    Fix: Add max_tokens: 512

  [MED]  Unbounded retry loop in api.ts:87
    Estimated impact: +$340/mo
    Fix: Add retry cap

  [LOW]  GPT-4 used for classification
    Estimated impact: +$180/mo
    Fix: Switch to GPT-3.5

✅ Scan complete — 3 regressions found
   Total estimated waste: $1,760/mo

Teams building on AWS, GCP, and Azure trust REPLACEME

Top cloud-native fintechGlobal SaaS platformTop 3 US streaming serviceLeading AI infrastructure companyEnterprise DevOps platformTop 5 e-commerce companyFortune 500 cloud teamHigh-growth ML startupTop cloud-native fintechGlobal SaaS platformTop 3 US streaming serviceLeading AI infrastructure companyEnterprise DevOps platformTop 5 e-commerce companyFortune 500 cloud teamHigh-growth ML startup

THE REPLACEME APPROACH

Cost intelligence built into your
development workflow

From first commit to production, REPLACEME meets you wherever you're building.

1
ConnectIntegrate Anywhere

Connect to your CI/CD, GitHub Actions, and cloud billing APIs.

  • CI/CD pipelines
  • GitHub / GitLab / Jenkins
  • AWS Cost Explorer + GCP Billing
  • On-premise or cloud
2
ScanDetect Everything

Scan your LLM code for 135+ cost regression patterns.

  • Static analysis of prompts and configs
  • Token limit violations
  • Missing cost controls
  • Model selection anti-patterns
3
FixClose the Loop

Get cost findings directly in pull requests.

  • Cost findings in PRs
  • Estimated monthly impact per issue
  • Track fixes across teams
  • Continuous monitoring

HOW IT WORKS

Everything you need to stop cost regressions

Automated cost regression scanning for AI workloads

Automated scanning that finds cost regressions in your LLM code

  • Missing token limits
  • Unbounded retry loops
  • Model selection waste
  • Prompt caching gaps
$ npx replaceme@latest scan

🔍 Scanning 47 files...

  ⚠ chat/completion.ts:42
    Rule: missing-max-tokens [HIGH]
    Impact: ~$1,240/mo uncapped
    Fix:  maxTokens: 512

  ⚠ utils/retry.ts:87
    Rule: unbounded-retry [MED]
    Impact: ~$340/mo worst-case
    Fix:  maxRetries: 3

  ⚠ classify/model.ts:14
    Rule: overpriced-model [LOW]
    Impact: ~$180/mo vs gpt-3.5
    Fix:  model: 'gpt-3.5-turbo'

Total: 3 regressions · $1,760/mo est.
Run 'replaceme fix' to auto-remediate.

TRUSTED AT SCALE

Built by engineers who've seen the waste

Real cost intelligence from real production systems.

135+
Cost Rules
Covering token limits, retry loops, model waste, and more
3,600+
Repos Scanned
Open source repos analyzed to validate rule accuracy
16k+
Findings Detected
Cost regression patterns found across the corpus

SOLUTIONS FOR EVERY TEAM

Cost intelligence that works for everyone

Whether you're managing cloud budgets or writing LLM code, REPLACEME meets you where you are.

Visibility & Control

You need cost visibility into LLM workloads before they blow your budget. REPLACEME gives you shift-left cost intelligence without requiring engineering changes.

What You Get:

  • ✓Catch regressions before production — not after the bill arrives
  • ✓Application-level cost attribution (not just cloud billing)
  • ✓Continuous monitoring in CI/CD pipelines
  • ✓Actionable findings, not raw metrics
See How It Works

Ship Code, Not Cost Regressions

Join engineering teams catching LLM cost waste before it reaches production.

Book a DemoTry Free

✓ 135+ rules  ·  ✓ CI/CD native  ·  ✓ Open source core