All Use Cases

Autonomous Performance Optimization

Find bottlenecks. Generate fixes. Validate improvements.

Let Helix continuously analyze your application's performance characteristics and autonomously generate optimizations — from database query tuning to caching strategies to frontend bundle analysis.

Autonomous Performance Optimization visualization

The Challenge

Performance work is reactive, not systematic

Teams address performance only when users complain or systems fail. Optimization is manual, requires specialized knowledge, and competes with feature work for engineering time.

Performance profiling requires specialized expertise

Optimizations are ad-hoc and address symptoms, not root causes

No systematic approach to prevent performance regressions

Database query tuning, caching, and bundle optimization are treated as separate problems

The Helix Approach

Continuous, autonomous performance improvement

Helix profiles your application holistically — backend, database, frontend — identifies the highest-impact optimizations, and generates targeted PRs with benchmarked improvements.

Holistic Performance Profiling

Analyzes database queries, API response times, memory usage, and frontend metrics in a unified view.

Optimization PR Generation

Generates specific, benchmarked optimization PRs: query rewrites, caching layers, index suggestions, and code-level improvements.

Regression Prevention

Performance budgets are enforced in CI. Regressions are flagged before they reach production.

Load Testing Automation

Generates and runs load test scenarios to validate optimizations under realistic conditions.

How it works

A governed, traceable flow from start to finish.

STEP 01

Performance Baseline

Helix establishes performance baselines across your stack: APIs, database, frontend, and infrastructure.

STEP 02

Bottleneck Analysis

Identifies the highest-impact optimization opportunities ranked by user impact and implementation effort.

STEP 03

Optimization Generation

Targeted PRs with query optimizations, caching strategies, and code improvements — each benchmarked.

STEP 04

Validate & Monitor

Load tests verify improvements. Performance budgets are set in CI to prevent future regressions.

Expected Outcomes

3x

Improvement in p95 response times

50%

Database query cost reduction

Zero

Performance regressions in production

Continuous

Optimization without team overhead

Optimize your performance with Helix

See how Team Helix transforms this workflow for your organization.