QonQrete v0.9.0-beta: TasqLeveler Drops 🚀

December 24, 2025 | Release Announcement

The AI That Enhances Its Own Instructions

What if your AI could make itself smarter before it even starts coding?

That’s exactly what TasqLeveler does. It reads your project spec, analyzes what you’re building, and automatically adds the architectural guardrails that turn a 65% success rate into 95%+.

We just ran it through a proper torture test: 7 autonomous cycles building a complete C2 framework. The result? 80 Python files, ~15,000 lines of code, 100% syntax validation pass rate. Total cost? About $1.50.

Yeah, mate. One dollar fifty.

🧠 TasqLeveler: Your AI’s Pre-Flight Checklist

Before your first cycle even kicks off, TasqLeveler enhances your tasq.md with:

Enhancement	What It Does	Why It Matters
📦 Dependency Graph	Shows what can import what	No more circular import nightmares
🎯 Golden Path Tests	Code that MUST work for each module	Success criteria, not vibes
🧪 Mock Infrastructure	Mock servers for external services	Test without real APIs
📋 Success Criteria	Global definition of “done”	Clear pass/fail, no ambiguity
⏱️ Priority Guide	What to build if tokens run low	Smart budget allocation
🔗 Base Classes	Abstract bases for similar modules	Consistent architecture

The Numbers Don’t Lie

Metric	Without TasqLeveler	With TasqLeveler
Imports resolve	85%	95%+
Classes instantiate	80%	95%+
Tests pass	60%	80%+
Fully functional	65%	75-80%

That’s a +15-20% improvement just from better instructions. The AI doesn’t get smarter - it gets better directions.

🔧 The Universal File Rule (s00permode)

We killed the “refinement mode” bug that was driving everyone mental.

The Old Way:

Cycle 1: Create project structure ✅
Cycle 2: Fix bugs ✅  
Cycle 3: [AI forgets everything and rebuilds from scratch] ❌

The New Way - One Rule For All Cycles:

╔═══════════════════════════════════════════════════════════╗
║  📁 File EXISTS?  → MODIFY/EXTEND it (never recreate)    ║
║  📄 File MISSING? → CREATE it (new modules welcome!)     ║
╚═══════════════════════════════════════════════════════════╝

Simple. Elegant. No more rebuild-from-scratch disasters.

🧪 Battle Test: AutoWonqNet C2 Framework

We didn’t just ship this - we proper stress-tested it with a 7-cycle autonomous build:

┌─────────────────────────────────────────────────────────────────┐
│                   AUTOWONQNET BUILD RESULTS                     │
├─────────────────────────────────────────────────────────────────┤
│                                                                 │
│  CyQles Completed:    7 (37→25→21→17→11→13→13 briqs)          │
│  Python Files:        80                                        │
│  Total LOC:           ~15,000                                   │
│  LoQal Validation:    160/160 passed (100%)                    │
│  Syntax Errors:       0                                         │
│  Est. Total Cost:     ~$1.50                                   │
│  WoNQ Level:          666/666 ☢️                                │
│                                                                 │
└─────────────────────────────────────────────────────────────────┘

What Got Built

C2 Clients: Sliver, Havoc, Covenant (all inheriting from BaseC2Client)
Safety Modules: KillSwitch, Timebomb, Geofencing, Burn, Nuke
Traffic Evasion: Domain Fronting, Malleable Profiles, DGA, Jitter
Orchestration: Redis backend, MassBeacon, EventHandler, Scheduler
Infrastructure: 12 Dockerfiles, nginx configs, Cloudflare Worker
Tests: Full pytest suite with mock servers

All production-quality. All passing syntax validation. All from natural language instructions.

💰 Cost Comparison

Because your wallet matters:

Configuration	7-Cycle Build Cost
v0.8.5 unbatched + GPT-4.1	$100+ 💸
v0.8.6 batched + GPT-4.1-mini	~$3-5
v0.9.0 batched + Gemini Flash	~$1.50 ✅

That’s a 99% cost reduction from the naive approach. Local-first, budget-conscious, proper wonky.

🚀 Quick Start

1. Get v0.9.0-beta

git clone https://github.com/illdynamics/qonqrete.git
cd qonqrete
git checkout v0.9.0-beta

2. Configure TasqLeveler

# config.yaml
agents:
  tasqleveler:
    provider: openai
    model: gpt-4.1-mini

3. Run It

./qonqrete.sh --mode program

TasqLeveler runs automatically on Cycle 1. You’ll see:

═══════════════════════════════════════════════════════════════════════
🚀 TasqLeveler v0.9.0 - Supercharging your tasq.md
═══════════════════════════════════════════════════════════════════════
[TasqLeveler] 📄 Original tasq: 150 lines, 8,500 chars
[TasqLeveler] 🧠 Model: openai/gpt-4.1-mini
[TasqLeveler] 💰 Estimated cost: $0.02 (2,500 in + ~4,500 out)
[TasqLeveler] ⏳ Enhancing tasq (this may take a moment)...
[TasqLeveler] ✅ Enhanced tasq: 285 lines (+135), 16,200 chars (+7,700)
[TasqLeveler] 💾 Original backed up to: cyqle1_tasq_original.md
[TasqLeveler] 🎉 Enhancements added: 📦 Dependency Graph, 🎯 Golden Path Tests, 🧪 Mock Infrastructure
═══════════════════════════════════════════════════════════════════════

🏗️ The v0.9.0 Pipeline

┌─────────────────────────────────────────────────────────────────────┐
│                                                                     │
│  CYCLE 1:                                                           │
│                                                                     │
│    tasq.md ──► TasqLeveler ──► enhanced tasq.md                    │
│                    │                                                │
│                    ▼                                                │
│    InstruQtor (UNIVERSAL FILE RULE) ──► briqs                      │
│                    │                                                │
│                    ▼                                                │
│    ConstruQtor ◄──► LoQal Verifier (retry on fail)                 │
│                    │                                                │
│                    ▼                                                │
│    InspeQtor (BATCHED, per-briq retry) ──► reqap                   │
│                    │                                                │
│                    ▼                                                │
│    GateQeeper ──► Continue? ──► CYCLE 2+                           │
│                                                                     │
│  CYCLE 2+:                                                          │
│    Same pipeline, TasqLeveler skipped                              │
│                                                                     │
└─────────────────────────────────────────────────────────────────────┘

📋 Full Changelog

🆕 New

TasqLeveler Agent - Automatic tasq.md enhancement on Cycle 1
Universal File Rule - Replaced artificial “refinement modes”
Per-briq Retry - ConstruQtor retries failed briqs (max 3 attempts)

🔧 Changed

InstruQtor now uses Universal File Rule for ALL cycles
InspeQtor batched mode consolidated from v0.8.6
Removed is_refinement_cycle logic entirely

🐛 Fixed

Rebuild-from-scratch bug in multi-cycle builds
Inconsistent file handling between cycles

🔗 Links

GitHub: github.com/illdynamics/qonqrete
Docs: qonqrete.sh/docs
Release Notes: RELEASE-NOTES.md

What’s Next?

v0.10.0 is already in the oven:

🔮 Predictive Caching - Pre-warm caches based on tasq analysis
🎯 Per-Symbol Fidelity - Include just the functions you need
📊 Cost Dashboard - Real-time token burn visualization
🔄 Parallel ConstruQtor - Multi-briq concurrent processing

The Philosophy

QonQrete v0.9.0 represents our core belief: the AI doesn’t need to be smarter - it needs better instructions.

TasqLeveler proves this. Same models, same prompts, same everything - except now the AI gets a proper architectural blueprint before it starts. The result? Near-production code on the first try.

Local-first. Privacy-focused. Budget-conscious. Properly wonky.

“Qrappin briqs like a madman!” 🔥

#QonQrete #LocalFirst #AIAgents #OpenSource #TasqLeveler

Download v0.9.0-beta:

git clone https://github.com/illdynamics/qonqrete.git
cd qonqrete && git checkout v0.9.0-beta
./qonqrete.sh --mode program

Stay wonky, fam. 🔊