Autonomous Codebase Optimization
Connect your repo. Optimize your codebase with confidence.
Transparent · Deterministic · Auditable
See It In Action
From Analysis to Pull Request
Any language. Any framework. Connect your repository and watch the agent work.
Create Tasks in Natural Language
Describe what you need — fix a memory leak, optimize a slow query, harden security. The agent interprets your intent and executes autonomously.
Fine-Grained Scope Control
Define the goal, target specific files, and choose how to verify. The agent generates a tailored execution plan based on your scope.
Full Diff Viewer with File Tree
Review every change the agent makes. Navigate the file tree, switch between tabs, and see line-by-line diffs — just like a real code review.
Watch the Full Demo
See how everything connects — from analysis to AI solutions to task completion.
Assign AI developers to work directly on your GitHub repositories.
Targets measurable speed improvements in existing files.
Create Tasks in Natural Language
Describe what you need and the agent executes autonomously.
Fine-Grained Scope Control
Define goal, target files, and verification method.
Full Diff Viewer
File tree, tabbed navigation, and line-by-line diffs.
Watch It All Together
Architecture
Six Layers. One Agent.
The Agent orchestrates every layer on demand — diagnosing issues, planning fixes, executing in the cloud, and delivering verified pull requests.
Memory Layer
Persistent codebase intelligence. Indexes your repository structure, dependencies, and patterns — retaining context across sessions.
Diagnosis Layer
Continuous analysis across your stack. Detects performance regressions, code quality issues, log anomalies, and structural problems.
Agent Layer
The orchestrating brain — ingests preflight data, coordinates tool calls, manages execution, and ensures every change is verified and delivered.
Tool Layer
Deterministic analysis and optimization tools — linting, formatting, dependency audits, log parsing, and performance profiling.
Runtime Layer
Cloud-native containers. Runs real install, build, and test commands in isolated environments — any language, any framework.
Audit Layer
Every change is verified, structured, and traceable. Build confirmation, test results, and full execution logs attached to every run.
Delivery Layer
Review-ready pull requests with stacked diffs. Every PR is structured, atomic, and ready for one-click merge.
Optimization doesn't just run. It's finalized with traceable proof.
Modern Development Is Fast.
Code Decay Is Faster.
AI-generated code and rapid iteration accelerate delivery. They also accelerate:
PageSpeedify fixes them — in full transparency.
Every agent task includes complete visibility into what happened and why.
You stay in control. The system handles execution.
Connect Your Repository
PageSpeedify clones and intelligently indexes your codebase.
Structured Remediation Plan
The Agent Layer analyzes patterns, detects issues, and generates a clear step-by-step plan.
Deterministic Execution
Improvements applied as stacked diffs — logical, incremental commits designed for safe review.
Build & Verification
Install, build, and test commands are executed in the cloud to verify changes.
Review & Merge
A clean, review-ready pull request is created with full execution logs.
Built for You
Anyone. Anywhere. Any Device.
Individuals & Teams
From solo founders to engineering orgs — shared task history, team visibility, and centralized audit trails.
Runs in the Cloud
No local setup. No dependencies. Isolated containers handle everything — you just connect your repo.
Any Device. Just a Browser.
No IDE. No plugins. No CLI. Start on your laptop, continue on your phone, merge from your tablet.
Frequently Asked Questions
Common questions about how PageSpeedify works.
What is PageSpeedify?
PageSpeedify is an autonomous code optimization platform. It connects to your GitHub repository, analyzes your codebase, and applies verified improvements as stacked diffs — all executed in the cloud. No local setup required.
How is this different from a coding assistant?
Unlike chat-based AI tools, PageSpeedify has a full execution environment. It clones your repo, runs real install/build/test commands, and produces review-ready pull requests with complete execution logs. You review diffs, not prompts.
What kind of optimizations does it make?
Performance optimizations (lazy loading, code splitting, caching), security fixes, dependency updates, image optimization, critical CSS extraction, query deduplication, and more. The tool layer is continuously expanding.
Is my code safe?
Yes. All operations run in isolated cloud environments. Your code is cloned temporarily for analysis and discarded after the task completes. Every change is presented as a reviewable pull request — nothing is merged without your approval.
Do I need to configure AI models?
No. PageSpeedify handles all AI orchestration internally using an intelligent model router that picks the best model for each task. You don't need API keys, model selection, or prompt engineering. Just connect your repo and describe what you want optimized.
Can I use it with my team?
Yes. PageSpeedify supports team workspaces with shared task history, centralized audit trails, and team-level visibility into optimization runs across your repositories.