Engine live
Model: qwen3.5-35b-a3b
VRAM: ~2.8 GB
Context: 16,384 tokens
CPU: 89%
Files: 14 indexed
Inference: Extremely Fast
Sovereignty: Local ✓
Autonomous · Continuous · Full-lifecycle · Sovereign

Software engineering
that evolves itself.

An autonomous software engineering environment where AI acts as an active engineering partner, not a code completion tool. Define outcomes. The system plans, implements, validates, and refactors across your entire codebase.

⟨/⟩ Code
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⊕ Code Map
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Satirio Praxis - Code Map, Project Tree, Hardware Telemetry, and Inference Monitor
Cross-file modifications
100%
Local execution · no cloud
5
Validation layers per change
0
Blind modifications, all traceable
Autonomous code generation
Cross-file refactoring
Continuous validation loop
Architecture analysis
Technical debt reduction
Security scanning
Performance optimization
Legacy modernization
Intent-driven development
Local LLM · sovereign
Autonomous code generation
Cross-file refactoring
Continuous validation loop
Architecture analysis
Technical debt reduction
Security scanning
Performance optimization
Legacy modernization
Intent-driven development
Local LLM · sovereign
The shift

From manual construction
to continuous software evolution.

Engineering teams stop performing repetitive coding and maintenance. They start defining strategy, outcomes, and innovation priorities. Praxis manages execution.

Traditional IDE (Integrated Development Environment)
Developers write code file by file
AI assists with snippets and completion
Manual coordination of cross-file changes
Reactive debugging after failures
Technical debt accumulates over time
Architecture drift goes undetected
No system-wide change traceability
Praxis ADE (Autonomous Development Environment)
Define intent · system plans and executes
AI engineers across entire codebases
Coordinated modifications across 1000s of files
Autonomous diagnosis and remediation loops
Continuous technical debt reduction
Architectural consistency enforced continuously
Every decision fully traceable and auditable
Platform capabilities

Beyond code generation.
Active engineering partnership.

Praxis understands software as an interconnected system, enabling coordinated modifications that preserve structural integrity across every layer.

01
Intent-Driven Development
Define objectives, requirements, and desired outcomes in natural language. Praxis translates intent into implementation plans, code changes, and deployment-ready outputs.
02
Cross-Codebase Refactoring
Coordinated modifications across hundreds or thousands of files while preserving structural integrity. Not file-by-file, system-aware, architecture-conscious execution.
03
Continuous Validation Loop
Every change automatically tested, compiled, scanned, and analyzed. Failed outcomes trigger autonomous diagnosis and remediation until predefined success criteria are achieved.
04
Architecture Intelligence
Continuous analysis of dependencies, bottlenecks, security vulnerabilities, and maintainability concerns. The Code Map visualizes your system topology in real time.
05
Legacy Modernization
Autonomous framework upgrades, dependency updates, architectural consistency improvements, and technical debt reduction, executed while preserving business logic.
06
Decision Traceability
Every recommendation fully explainable. Review reasoning, dependency impacts, alternatives considered, and validation results before accepting any change. Complete audit trails.
Code Map

Your codebase as a
living system topology.

The Code Map visualizes your entire project as a live dependency graph, Flow Tree or Radial Network. Hover any node to trace flow dynamics, inspect imports and exports, and understand how architectural changes propagate across the system.

Every file is tagged by type: module, component, style, or config. Click any node to inspect its structural role, dependencies, and impact surface before committing modifications.

MODULE STYLE COMPONENT CONFIG
Visualization Mode
◈ Flow Tree
⊕ Radial Network
Project Tree
14 Files
📄package.json40 Lines · 1.0 KB
CONFIG
📄index.html17 Lines · 0.7 KB
MODULE
📄index.js11 Lines · 0.2 KB → 1
MODULE
📄index.css59 Lines · 0.9 KB
STYLE
📄App.css100 Lines · 1.6 KB
STYLE
📄App.js134 Lines · 3.7 KB → 8
COMPONENT
📄SlideEditor.js225 Lines · 6.8 KB → 1
COMPONENT
AI Engineering Panel

The AI explains, plans, and executes.

Every action by the AI engineering partner is visible: what it will do, what files it will touch, what insights drove the decision, and which search context it used. Full transparency, before every change.

AI
AI Developer
qwen3.5-35b-a3b · Local
Explanation
I'll complete the AI presentation generator by:
1.Fixing store exports to use named exports properly
2.Adding missing CSS styles for all components
3.Ensuring all components work together properly
File: src/store/presentationStore.js
New "Continue Generating" button is broken for Code Blocks - Bugs
16 May 2023 · stackoverflow.com
The "Continue Generating" button resumes the response outside o...
Continue Statement in C - GeeksforGeeks
geeksforgeeks.org
The continue statement in C is a jump statement used to skip...
What is Continue? | Continue Docs
continue.dev
Continue runs AI checks on every pull request. Each check is...
src/store/presentationStore.js
src/store/aiStore.js
src/components/ExportPanel.js
src/components/SlidePreview.js
src/components/SlideEditor.js
Monaco Editor IntelliSense Ready
187 {currentSlide.type === 'quote' && (
188 <div className="quote-section">
189 <textarea
190 value={currentSlide.content}
191 onChange={handleContentChange}
192 className="slide-content-textarea"
193 placeholder="Enter quote text"
194 rows={4}
195 />
196 <input
197 type="text"
198 className="slide-author-input"
199 placeholder="Author name"
200 style={{ marginTop: '1rem' }}
201 />
202 </div>
203 )}
204
205 <div className="slide-layout-section">
206 <h4>Layout</h4>
207 <div className="layout-options">
208 {layouts.map((layout) => (
Satirio.Praxis - Explorer + Editor
Satirio Praxis — File Explorer and Monaco Editor
Inference & Hardware

Every inference cycle observable.

The Active Inference Stage Monitor shows every stage of the reasoning pipeline in real time. Hardware telemetry surfaces CPU load, thread utilization, thermal state, and GPU constraints as the engine works.

Active Inference Stage Monitor
33s ELAPSED
1
Ingesting Code Context
Files digested successfully into Local Buffers
2
Pre-computing Attention (KV Cache)
Ollama is contextualizing context windows. Server will remain silent during this phase...
3
Token Generation & Inference Evaluator
Processed model response blocks
4
Staging Changes Diff Parser
Awaiting stage completion
⚡ KV Attention cache computation has priority. System is busy and not hung.
Sensor Hardware Telemetry
LOG: All Sensors Green
Overall CPU Usage 89%
Processor Thread Array (12 Cores)
Parameters Size 3.8B
Est. HW Weight ~2.8 GB VRAM
Engineering lifecycle

From intent to production.
Closed-loop, end-to-end.

Praxis operates as a complete software engineering system. Every phase is automated, continuously validated, and fully transparent, from the first objective statement to the final deployment commit.

Phase 01
Intent
Define objectives, requirements, and constraints
Phase 02
Analysis
Architecture, dependency, and debt assessment
Phase 03
Planning
Implementation plan, impact modeling
Phase 04
Execution
Autonomous code generation and modification
Phase 05
Validation
Test, scan, compile, performance eval
Phase 06
Delivery
Traceable deployment-ready output
Phase 01 · Intent definition
Objective statement Requirement definition Constraint configuration Success criteria Scope boundaries Business context

Ship software at
the speed of intent.

Stop building file by file. Start defining outcomes. Praxis closes the loop between engineering intent and production-ready software: autonomously, continuously, and with complete traceability.

Local-first · Sovereign · Full audit trail · No cloud reasoning dependency