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For developers, CTOs, and startup teams shipping fast

Choose the right infrastructure decisions before they become expensive mistakes.

strikeloop integrates with your codebase and cloud context to evaluate architecture, scaling, cost, and security options then explains tradeoffs so your team can approve with confidence.

Read-only access • No auto-deploy • Team approval required
Analyze my repoSee decision report
The Problem

Most infrastructure plans take 3 weeks and still go wrong.

Teams shipping fast are forced to choose between moving quickly and planning safely. Without real workload analysis, both options are expensive.

3–4 weeks lost before a single server starts

Manual planning, Slack threads, and spreadsheets before infra even exists.

$38K+ overprovisioned on the very first deployment

Teams size for peak-of-peak without real workload data. The bill arrives immediately.

Security gaps found post-deploy, when fixes cost 10×

IAM misconfigs and open ports only surface after customers are already affected.

Scaling decisions made on gut feel, not evidence

No simulation, no rehearsal. The first real traffic spike is also the first real test.

infra-waste-audit.report
Before strikeloop

RESOURCE WASTE DETECTED github.com/acme/payments-api

API Server × 4 (over-provisioned)
$840/mo+62%
RDS db.m5.large (30% avg utilisation)
$320/mo+44%
Orphaned Lambda execution budget
$180/mo+21%
Unused cross-region S3 transfer
$64/mo+8%
Total identified waste$1,404/mo
78% of budget

→ strikeloop identified these before deployment. Total fix: 2 hours.

How it works

Four steps. Zero guesswork.

We don't just read best practices and tell you what to do. We simulate your entire stack in an isolated sandbox, run real stress tests, learn your traffic patterns, then recommend with evidence and reasoning behind every decision.

01GitHub integration

Connect your repository

Read-only GitHub access. strikeloop scans your routes, queries, background jobs, and dependencies. No cloud credentials or deploy permissions needed.

strikeloop step 01
> Connecting github.com/acme/payments-api
✓ Read-only access granted
→ Scanning 847 files across 12 services…
✓ Repository indexed in 4.2s
02Workload analysis

AI maps your real workload

Every route, query, job, and dependency is modelled. Traffic patterns, peak load windows, and scaling bottlenecks are derived from your actual code not industry averages, not guesses.

strikeloop step 02
→ Mapped 34 API routes + 12 DB schemas
→ Detected: BullMQ job queue (3 workers)
→ Load estimate: 2,400 req/day baseline
✓ Workload model complete
03Sandbox simulation

Simulate, stress-test & automate

We spin up a sandboxed replica of your stack and actually run it. Load tests, chaos probes, security scans. The AI then watches real-time metrics, learns your traffic patterns, and recommends smart automation scheduled scale-ups, pre-emptive failovers, and security hardening so your infra adapts before incidents happen, not after.

strikeloop step 03
→ Sandbox provisioned · isolated environment
→ Load test · 10k req/min burst · 3 runs
⚠ p99 latency spike detected at 6,200 req/min
→ Chaos probe: DB failover tested · 340ms recovery
→ Security scan: 94 attack vectors probed
✓ 0 critical CVEs · 2 medium (patches ready)
→ Traffic pattern: peak Mon–Fri 09:00–11:00 UTC
⚡ Auto-scale rule → +2 nodes at 08:50 UTC daily
⚡ Security rule → rate-limit /api/auth > 50 req/s
✓ Simulation complete · confidence score: 97%
04Human approval

Review, modify, approve

Terraform code, cost forecast, architecture diagram, security findings, and automation schedules all explained with reasoning, all pending your team's explicit sign-off. Nothing is deployed or changed without human approval.

strikeloop step 04
→ 3 infra scenarios + simulation report ready
✓ Optimal: ECS Fargate + RDS t3.medium
→ Projected cost: $2,840/mo (−18%)
→ 2 automation rules pending approval
⏳ Awaiting team sign-off…
Outputs

Everything your team needs to approve with confidence.

Every artifact is concrete, reviewable, and explained. Nothing black-box inspect, edit, and sign off every line before execution.

Terraform CodeIaC-native

Production-ready .tf files scoped to your stack.

Architecture DiagramSVG export

Full service map with dependencies and data flows.

Cost Breakdown$2,840/mo

Line-by-line spend with 2×, 5×, 10× traffic projections.

Security Findings3 critical

Prioritised CVEs with remediation steps, surfaced before you deploy.

Scaling StrategyPer-tier

Per-tier resource adjustments with reliability tradeoffs explained.

Reasoning ReportAI researchUnique

In-depth research-backed analysis on why each decision was made citations included.

Infrastructure Decision Report github.com/acme/payments-api⏳ Pending Approval
Repositorygithub.com/acme/payments-api
Monthly cost$2,840 / mo
Savings vs current↓ 18% ($620/mo)
Security3 critical · 4 medium
Simulation✓ Passed · 97% confidence
Status⏳ Pending approval
terraform/main.tf
resource "aws_ecs_cluster" "api" {
name = "payments-api-prod"
}
# ✓ Approved by @priya · Apr 14
resource "aws_rds_instance" "db" {
instance_class = "db.t3.medium"
}
✓ Approve & ApplyModify
✦strikeloop Private Beta✦

Ship infrastructure that actually fits.

Don't guess. Simulate, verify, and approve before a single resource is touched.

Join the waitlist

Get early access, shape the roadmap, and lock in founding-team pricing.

Early access before public launch
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