Yehor Smoliakov egorsmkv

Architecture for Autonomous Software Development with Ambidextrous AI Agents

Purpose

This architecture defines an autonomous software development system that can take bounded engineering work from request intake to reviewed pull request while balancing two operating modes:

Right Hand / Exploitation: reliable production execution using known workflows, strict gates, and minimal-risk changes.
Left Hand / Exploration: sandboxed discovery of better solutions, tools, prompts, tests, and architectural alternatives.

The system should behave like a disciplined engineering team: inspect the code, plan the work, make scoped changes, validate them, explain the result, and escalate when uncertainty or risk is high.

Adaptive Capability Architecture

Adaptive Capability Architecture is a pragmatic successor to Clean Architecture. It keeps Clean Architecture's useful core: dependency inversion, testable business logic, and framework independence. It improves the model by making the primary unit of design a business capability that is owned, observable, enforceable, and safe to evolve.

Clean Architecture asks:


	import torch
	import torch.nn as nn
	import torch.nn.functional as F

	# -----------------------------------------------------------------------------
	# HiF4 reference implementation
	# Paper assumptions used here:
	# - 1 HiF4 block = 64 values
	# - metadata = 1x E6M2 + 8x E1_8 + 16x E1_16

	#include "utf8.h"

	#include <stdlib.h>

	size_t utf8_decode_advance(const char8_t *bytes, size_t len,
	uint32_t out_codepoint, bool out_invalid) {
	if (!bytes \|\| len == 0)
	return 0;
	uint8_t b0 = bytes[0];
	uint32_t codepoint = 0xFFFD;

	#include <stdint.h>
	#include <stdbool.h>
	#include <stdlib.h>
	#include <stdio.h>
	#include <math.h>
	#include <string.h>
	#include <time.h>

	/**
	* SPANN High-Performance Memory-Disk Hybrid Search

	// Compile with:
	// clang -O3 -march=znver4 -fopenmp -ffast-math -mavx512f -mavx512dq amd_zen_matrix.c -o amd_zen_matrix
	// Note: Use -march=znver5 if available in your compiler (GCC 14+ / Clang 18+).
	// If not, -march=znver4 is safe and highly effective for Ryzen 9000.

	#include <stdio.h>
	#include <stdlib.h>
	#include <stdint.h>
	#include <stdbool.h>
	#include <time.h>

	import math
	from typing import Dict, Set, Tuple, Optional, List
	from collections import defaultdict

	# Type Aliases for code clarity and PEP 484 compliance
	PointID = int
	Coordinates = Tuple[float, ...]

	class Point:
	"""

	use std::collections::HashMap;
	use std::marker::PhantomData;
	use std::sync::Arc;
	use std::sync::Mutex;

	/// ======== TYPES ========

	type UserId = String;

	/// ======== STRUCTS, ENUMS ========

	// This program demonstrates how to get a rough estimate of stack usage
	// and how to track heap allocations in Rust.
	//
	// NOTE: This approach for stack measurement is not reliable or portable.
	// It is for demonstration purposes only. The heap tracking method is a
	// more robust way to monitor memory usage.

	use std::alloc::{GlobalAlloc, Layout, System};
	use std::sync::atomic::{AtomicUsize, Ordering};

	[swscaler @ 0x120008000] No accelerated colorspace conversion found from yuv420p to rgb24.
	best_video_stream_index: 0
	Width: 1920, height: 1080
	Duration: 494.30734451395824 seconds
	FPS: 30.001577377319336
	Successfully sought to frame near index 0.
	Frame time: 0
	Successfully sought to frame near index 30.
	Frame time: 8.332895221071446
	Successfully sought to frame near index 60.