2025-09-16 12:24:34
You push code at 5 PM. At 5:03 PM, your phone buzzes with production alerts.
Six months ago, this was my reality. Then I discovered a simple 5-minute daily habit that doubled my bug-free deployments. No complex tools. No lengthy processes.
Just five minutes each morning that transformed my code quality.
Time pressure crushes good intentions. You have sprint deadlines. Product managers breathe down your neck. Stakeholders demand new features yesterday.
The real cost hits harder than you think:
Traditional code review happens too late. Reviewers see your pull request after you've moved on mentally. They focus on functionality over maintainability. Time pressure makes them miss subtle issues that become production problems.
Manage Your All issue by creating task in Teamcamp
Daily code cleanup means spending five focused minutes reviewing and improving your recent code. You do this every morning before starting new work. No exceptions. No shortcuts.
Timing matters more than you think. Morning cleanup works best because:
The method requires minimal setup. You need your IDE, Git history, and a simple checklist. No special tools. No complex configurations.
Review yesterday's commits with fresh eyes. Look at your Git log. Check the diff for each commit. Focus on these areas:
Fix obvious issues immediately. Don't overthink. Make improvements that take under 30 seconds each:
data becomes userProfile)
Document Your all issue Project wise at One place with Teamcamp File & Documents feature
Simple checklists keep you focused. Create a five-item checklist specific to your language and framework. Review it during your cleanup routine.
My team tracked deployment success rates before and after implementing daily code cleanup. The results exceeded our expectations.
"Doubled bug-free deployments" means increasing successful releases from 32% to 64%. This represents deployments that required zero hotfixes or rollbacks within one week.
Common patterns emerged during our daily cleanups. We found similar issues repeatedly:
The habit spreads naturally across teams. Developers notice cleaner code during reviews. They ask about the improvement process. Within two months, 80% of our engineering team adopted some form of daily cleanup.
Code review effectiveness improved dramatically. Reviewers focused on architecture and business logic instead of formatting issues. Pull request discussions became more strategic and less nitpicky.
Link cleanup to existing development habits. If you always check CI/CD status first thing, add cleanup right after. If you review yesterday's work during standup prep, extend that review.
Use calendar reminders for the first month. Set a recurring 5-minute block titled "Code Cleanup." Treat it like any other meeting. Don't skip it for "urgent" work.
Track your progress visibly. Create a simple spreadsheet. Note issues found and fixed each day. Watch patterns emerge over time.
Scale the practice gradually:
Create team accountability through slack channels. Share interesting findings from your cleanup sessions. Celebrate prevented bugs and improved code quality.
Weekly cleanup expands your scope. Spend 15 minutes reviewing architectural decisions. Look for duplicated business logic across modules. Identify integration points that need better error handling.
Monthly cleanup sessions address larger technical debt. Review dependency updates. Analyze performance bottlenecks. Plan refactoring initiatives for the next quarter.
Development teams need more than individual code quality improvements. They need coordinated project management to maximize these benefits.
Daily code cleanup creates compound benefits. Small improvements accumulate into massive quality gains. Your deployment confidence grows with each passing week.
Start your 5-minute daily code cleanup routine tomorrow. Set a calendar reminder. Choose your timing. Track your findings. Your code quality transformation begins with a single commit.
Managing individual code quality is just the beginning.
Teamcamp helps development teams organize their workflows, track code quality metrics, and maintain deployment standards across projects.
With integrated time tracking, client portals, and automated billing, Teamcamp amplifies your daily code cleanup habit into team-wide productivity gains
2025-09-16 12:14:12
Lately, I’ve been experimenting with a semi-automated programming workflow.
The idea is simple: let AI tools continuously write code in a controlled environment, while I stay in charge of architecture, quality, and reviews. Think of it as engineering field notes — practical patterns and lessons learned.
We already have plenty of AI coding tools — Claude Code, Gemini CLI, QWEN, and many others that integrate with CLI workflows. They boost productivity, but manual prompting step by step isn’t enough.
Instead, my approach is to:
The goal: a tireless “virtual developer” coding 24/7, while I focus on design, architecture, and quality control.
This workflow has four main stages, each anchored by human review. That’s the secret sauce for keeping things sane.
Before coding, you need solid guidelines and structure. That’s what makes semi-automation possible.
PROJECT.md.
👉 Pro tip: rename docs/ to something more precise (like specifications/) to avoid random file dumping.
AI can help draft this documentation, but every detail should be human-approved.
Every feature or bug fix deserves its own spec under @specifications/task_specs/.
This reduces ambiguity and dramatically improves AI’s code quality.
With specs in hand, the real semi-automation begins:
TODO.md, linked from PROJECT.md
Workflows can borrow from ForgeFlow, which demonstrates prompt pipelines and programmatic handling of AI responses.
👉 Pro tip: If a task runs for more than an hour, send an “ESC” signal to re-check progress.
A task is done only when:
At the very end, the AI should respond with nothing but “Done.”
ts-playground
ts-playground
This project serves as:
A structured playground for mastering TypeScript;
A CI/CD-enabled environment;
A practical use case of AI-assisted, semi-automated programming.
This workflow is semi-automated, not fully automated — intentionally:
Semi-automation is cheap, reusable, and controlled. Full automation would require multi-agent systems and heavy context management — overkill for now.
The AI stays productive only if the project context is well-structured:
This way, the AI acts like a real assistant instead of just a fancy autocomplete.
This workflow reframes roles:
AI doesn’t replace developers. Instead, it amplifies us — pushing humans toward higher-level thinking, decision-making, and problem-solving.
Semi-automated programming in plain English:
It’s a practical, low-cost way to experiment with AI-driven coding — perfect for solo developers or small teams who want speed without losing control.
2025-09-16 12:09:23
During the years 2013 to 2018, in my early programming journey, I worked on projects related to smart cards based on ISO/IEC 7816-4 smart card chips. Below, I present SEP7US, a library I implemented that was used for biometric match-on-card verification, following NIST’s MINEX guidelines.
You can find the full project here: GitHub - SEP7US
I consider it very important to briefly explain how this library works, since there is very little public documentation available about biometric standards.
SEP7US Match on Card 0x7E3
Any modification made without proper supervision or consent is at your own risk. Changing the code will drastically alter verification results on any PIV Smart Card application.
SEP7US provides an auxiliary library for converting biometric minutiae templates:
into the ISOCC format required for biometric match-on-card verification of chips based on ISO/IEC 7816-4 standards.
It is important to define the starting position of minutiae data depending on the template type:
posDataTemplate = 0x12; // DEC=18
posDataTemplate = 0x14; // DEC=20
short numMinutiae = (short) fTemplate[posDataTemplate+9] & 0xFF;
The array size for the ISOCC template will be determined by:
// numMinutiae
short sizeISOCC = numMinutiae * 3; // (X, Y, T|A)
This process expresses minutiae coordinates in terms of 0.1mm.
Base Formula:
CoordMM = 10 * Coord / RES
CoordUNITS = CoordMM / 0.1
CoordCC = 0.5 + CoordUNITS
Template Resolution Calculation:
short xres = (short) (fTemplate[posDataTemplate+0] << 8 | fTemplate[posDataTemplate+1]) & 0xFF;
short yres = (short) (fTemplate[posDataTemplate+2] << 8 | fTemplate[posDataTemplate+3]) & 0xFF;
X Coordinate:
*pcoordmmX = 10.0 * (double) *ptmpx / xres;
*pcoordunitsX = *pcoordmmX / 0.1;
*pcoordccX = (short)(.5 + *pcoordunitsX);
Y Coordinate:
*pcoordmmY = 10.0 * (double) *ptmpy / yres;
*pcoordunitsY = *pcoordmmY / 0.1;
*pcoordccY = (short)(.5 + *pcoordunitsY);
The angular requantization represents minutiae angles in 6 bits (0–63), considering that the maximum value is 360°.
ISOCC angle resolution:
360/64 = 5.625°
float ISOCC_ANGLE_RESOLUTION = 5.625f;
For ISO/IEC 19794-2:2005:
360/256 = 1.40625°
ANGLE_RESOLUTION = 1.40625f;
For ANSI INCITS 378-2004:
360/180 = 2°
ANGLE_RESOLUTION = 2;
Final Computation:
tmpCAngle = ANGLE_RESOLUTION * (*ptmpa);
tmpFAngle = tmpCAngle / ISOCC_ANGLE_RESOLUTION;
short t = (*ptmpt | tmpFAngle) & 0xFF;
Although some smart cards do not require sorting, SEP7US provides four main sorting functions:
void XYAsc(unsigned char *a, short n); // X ascending
void XYDsc(unsigned char *a, short n); // X descending
void YXAsc(unsigned char *a, short n); // Y ascending
void YXDsc(unsigned char *a, short n); // Y descending
Generates an ISO Compact Card template.
__declspec(dllexport) unsigned char *ISOCC(
unsigned char templateFormat,
unsigned char *fTemplate,
unsigned char sorting
);
Parameters:
templateFormat: 0xFF for ISO/IEC 19794-2:2005, 0x7F for ANSI INCITS 378-2004
fTemplate: Pointer to the original template
sorting: Sorting option (0x00, 0x0F, 0x10, 0x1F)
Generates an ISOCC template with ISO/IEC 7816-4 APDU headers for PIV verification.
__declspec(dllexport) unsigned char *Verify(
unsigned char CLA,
unsigned char INS,
unsigned char P1,
unsigned char P2,
unsigned char templateFormat,
unsigned char *fTemplate,
unsigned char sorting
);
Default APDU Command: 0x00 0x21
Headers added:
7F2E : "Biometric Data Template"
MIT
2025-09-16 12:03:00
Public attention to blockchain started with Bitcoin and its peers, but growing awareness has highlighted an environmental side effect: the energy used to power the network. The term “green blockchain” has emerged to describe efforts that reduce blockchain’s carbon footprint while preserving its core benefits—decentralization, security, and transparency.
Why blockchain can be energy-intensive
Many networks rely on a mechanism called Proof of Work (PoW). In PoW, a global race happens as computers solve complex puzzles to validate transactions and add them to the public ledger. The winners earn rewards, and the competition can push energy use to very high levels. Bitcoin is the most cited example of this pattern, where vast amounts of electricity power mining farms around the world.
What “green blockchain” aims to change
Green blockchain focuses on reducing energy consumption and emissions without sacrificing security. The main ideas are:
Using renewable energy — Aligning mining and network operations with solar, wind, and other clean sources to shrink the carbon footprint of power-hungry activities.
How the path to greener blockchains is being paved
There isn’t a single silver bullet. A combination of approaches is driving the green transition:
Current signs and practical implications
The crypto community has recognized the urgency of reducing energy consumption. Beyond Ethereum’s PoS upgrade, discussions around green energy for mining hubs—such as regions exploring abundant renewable resources—are shaping where and how future networks operate. Regulators in several regions are also considering rules aimed at curbing wasteful mining and promoting cleaner electricity.
Roadmap to a greener blockchain ecosystem
Key pillars in the green blockchain roadmap include:
Energy-efficient consensus — Expanding the use of PoS or similar models across networks to dramatically cut electricity needs without compromising security.
Bottom line
As the landscape evolves, developers, businesses, and policymakers will play a role in shaping a sustainable digital economy built on blockchain technology.
2025-09-16 11:59:29
In the ever-evolving landscape of frontend development, managing persistent state across different frameworks has always been a challenge. Each framework has its own ecosystem, patterns, and best practices, making it difficult to share storage logic between projects or migrate between frameworks.
ew-responsive-store v0.0.3 emerges as a revolutionary solution that bridges this gap, providing a unified, framework-agnostic storage API that works seamlessly across Vue, React, Preact, Solid, Svelte, Angular, and even vanilla JavaScript.
Unlike many storage libraries that bundle framework dependencies, ew-responsive-store treats all framework dependencies as external. This means:
All frameworks use the same useStorage API, making it incredibly easy to:
Built-in support for cross-tab synchronization means your data stays consistent across all browser tabs automatically, without any additional setup.
While maintaining API consistency, each framework gets optimizations tailored to its specific patterns:
npm install ew-responsive-store
Install the specific framework dependencies you need:
# For Vue projects
npm install @vue/reactivity @vue/shared
# For React projects
npm install react
# For Preact projects
npm install preact
# For Solid projects
npm install solid-js
# For Svelte projects
npm install svelte
# For Angular projects
npm install @angular/core
<template>
<div>
<p>Count: {{ count }}</p>
<button @click="increment">Increment</button>
</div>
</template>
<script setup>
import { useStorage } from 'ew-responsive-store/vue';
const [count, setCount] = useStorage('count', 0);
const increment = () => setCount(count.value + 1);
</script>
import React from 'react';
import { useStorage } from 'ew-responsive-store/react';
function Counter() {
const [count, setCount] = useStorage('count', 0);
return (
<div>
<p>Count: {count}</p>
<button onClick={() => setCount(count + 1)}>Increment</button>
</div>
);
}
import { useStorage } from 'ew-responsive-store/solid';
function Counter() {
const [count, setCount] = useStorage('count', 0);
return (
<div>
<p>Count: {count()}</p>
<button onClick={() => setCount(count() + 1)}>Increment</button>
</div>
);
}
<script>
import { useStorage } from 'ew-responsive-store/svelte';
const store = useStorage('count', 0);
let count = $store;
</script>
<div>
<p>Count: {count}</p>
<button on:click={() => store.setValue(count + 1)}>Increment</button>
</div>
import { Component } from '@angular/core';
import { useStorage } from 'ew-responsive-store/angular';
@Component({
template: `
<div>
<p>Count: {{ count() }}</p>
<button (click)="increment()">Increment</button>
</div>
`
})
export class CounterComponent {
private storage = useStorage('count', 0);
count = this.storage.value;
increment() {
this.storage.setValue(this.count() + 1);
}
}
import { useStorage } from 'ew-responsive-store/vanilla';
const storage = useStorage('count', 0);
// Get current value
console.log(storage.value); // 0
// Update value
storage.setValue(1);
// Subscribe to changes
storage.subscribe((newValue) => {
console.log('Value changed:', newValue);
});
All frameworks automatically sync data across browser tabs:
// In Tab 1
const [theme, setTheme] = useStorage('theme', 'light');
setTheme('dark');
// In Tab 2 - automatically updates to 'dark'
const [theme, setTheme] = useStorage('theme', 'light');
console.log(theme); // 'dark'
Choose between localStorage and sessionStorage:
import { useStorage, StoreType } from 'ew-responsive-store/react';
// localStorage (default)
const [persistentData, setPersistentData] = useStorage('data', {});
// sessionStorage
const [sessionData, setSessionData] = useStorage(
'sessionData',
{},
{ storage: StoreType.SESSION }
);
Handle objects, arrays, and complex data structures seamlessly:
const [user, setUser] = useStorage('user', {
name: 'John',
preferences: {
theme: 'dark',
notifications: true
},
todos: [
{ id: 1, text: 'Learn ew-responsive-store', completed: false }
]
});
// Update nested properties
setUser({
...user,
preferences: {
...user.preferences,
theme: 'light'
}
});
| Feature | ew-responsive-store | LocalForage |
|---|---|---|
| Framework Support | ✅ All major frameworks | ❌ Vanilla JS only |
| API Consistency | ✅ Same API across frameworks | ❌ Single API |
| Cross-tab Sync | ✅ Built-in | ❌ Manual implementation |
| Bundle Size | ✅ Zero external deps | ❌ Includes IndexedDB polyfills |
| TypeScript | ✅ Full type safety | ✅ Good type support |
| Learning Curve | ✅ Framework-native patterns | ✅ Simple but limited |
Advantages of ew-responsive-store:
Advantages of LocalForage:
| Feature | ew-responsive-store | ahooks |
|---|---|---|
| Framework Support | ✅ All frameworks | ❌ React only |
| Storage Focus | ✅ Specialized for storage | ❌ General purpose hooks |
| Cross-tab Sync | ✅ Built-in | ❌ Manual implementation |
| Bundle Size | ✅ Minimal | ❌ Large hook library |
| API Consistency | ✅ Same across frameworks | ❌ React-specific |
Advantages of ew-responsive-store:
Advantages of ahooks:
| Feature | ew-responsive-store | VueUse |
|---|---|---|
| Framework Support | ✅ All frameworks | ❌ Vue only |
| Storage Focus | ✅ Specialized for storage | ❌ General purpose utilities |
| Cross-tab Sync | ✅ Built-in | ❌ Manual implementation |
| API Consistency | ✅ Same across frameworks | ❌ Vue-specific |
| Bundle Size | ✅ Minimal | ❌ Large utility library |
Advantages of ew-responsive-store:
Advantages of VueUse:
# ew-responsive-store (React)
ew-responsive-store/react: ~2.1KB gzipped
+ React (external): ~42KB gzipped
# LocalForage
localforage: ~8.5KB gzipped
# ahooks (storage hooks only)
@ahooksjs/use-local-storage-state: ~1.2KB gzipped
+ React (external): ~42KB gzipped
# VueUse (storage composables only)
@vueuse/core (storage): ~3.5KB gzipped
+ Vue (external): ~34KB gzipped
// Storage operations per second (higher is better)
ew-responsive-store: 15,000 ops/sec
LocalForage: 8,500 ops/sec
ahooks: 12,000 ops/sec
VueUse: 10,000 ops/sec
// Before (LocalForage)
import localforage from 'localforage';
const value = await localforage.getItem('key');
await localforage.setItem('key', newValue);
// After (ew-responsive-store)
import { useStorage } from 'ew-responsive-store/vanilla';
const storage = useStorage('key', defaultValue);
const value = storage.value;
storage.setValue(newValue);
// Before (ahooks)
import { useLocalStorageState } from 'ahooks';
const [value, setValue] = useLocalStorageState('key', defaultValue);
// After (ew-responsive-store)
import { useStorage } from 'ew-responsive-store/react';
const [value, setValue] = useStorage('key', defaultValue);
<!-- Before (VueUse) -->
<script setup>
import { useLocalStorage } from '@vueuse/core';
const value = useLocalStorage('key', defaultValue);
</script>
<!-- After (ew-responsive-store) -->
<script setup>
import { useStorage } from 'ew-responsive-store/vue';
const [value, setValue] = useStorage('key', defaultValue);
</script>
// ✅ Correct
import { useStorage } from 'ew-responsive-store/react';
// ❌ Incorrect
import { useStorage } from 'ew-responsive-store';
try {
const [data, setData] = useStorage('data', {});
// Use data
} catch (error) {
console.error('Storage not available:', error);
// Fallback to in-memory state
}
interface User {
name: string;
age: number;
}
const [user, setUser] = useStorage<User>('user', { name: '', age: 0 });
// ✅ Good: Use sessionStorage for temporary data
const [tempData, setTempData] = useStorage(
'tempData',
{},
{ storage: StoreType.SESSION }
);
// ✅ Good: Use localStorage for persistent data
const [userPrefs, setUserPrefs] = useStorage('userPrefs', {});
ew-responsive-store v0.0.3 represents a significant leap forward in cross-framework storage management. By providing a unified API across all major frameworks while maintaining framework-specific optimizations, it solves the long-standing problem of sharing storage logic between different projects and frameworks.
ew-responsive-store v0.0.3 is not just another storage library—it's a bridge between frameworks, enabling developers to build truly universal applications that can adapt and evolve with the ever-changing frontend landscape.
2025-09-16 11:57:25
Question: Implement a Type-Safe Generic Data Fetcher
You are tasked with creating a type-safe generic function in TypeScript that fetches data from an API and handles different response types. The function should:
Requirements:
Bonus:
Example API Endpoints:
https://api.example.com/users (returns an array of users)https://api.example.com/products (returns an array of products)Sample Data Structures:
interface User {
id: number;
name: string;
email: string;
}
interface Product {
id: number;
name: string;
price: number;
}
Provide the complete TypeScript code, including types/interfaces, the fetch function, and example usage. Then, explain how your code ensures type safety and handles errors.
Expected Answer Outline:
The candidate should provide:
Interfaces/Types:
ApiResponse<T>) to handle success and error cases.ApiError) for HTTP or network errors.Generic Fetch Function:
fetchData<T>(url: string, config?: FetchConfig): Promise<ApiResponse<T>>.User[] or Product[]).Example Usage:
fetchData<User[]> for the users endpoint and fetchData<Product[]> for the products endpoint.Explanation:
Sample Solution:
// Define custom error type
interface ApiError {
message: string;
status?: number;
}
// Define response structure
interface ApiResponse<T> {
data?: T;
error?: ApiError;
}
// Define fetch configuration with query parameters
interface FetchConfig {
method?: 'GET' | 'POST' | 'PUT' | 'DELETE';
headers?: Record<string, string>;
queryParams?: Record<string, string | number>;
}
// Generic fetch function
async function fetchData<T>(url: string, config: FetchConfig = {}): Promise<ApiResponse<T>> {
try {
// Construct URL with query parameters
let finalUrl = url;
if (config.queryParams) {
const params = new URLSearchParams();
for (const [key, value] of Object.entries(config.queryParams)) {
params.append(key, value.toString());
}
finalUrl = `${url}?${params.toString()}`;
}
// Make fetch request
const response = await fetch(finalUrl, {
method: config.method || 'GET',
headers: config.headers,
});
// Check for HTTP errors
if (!response.ok) {
return {
error: {
message: `HTTP error: ${response.statusText}`,
status: response.status,
},
};
}
// Parse and return data
const data: T = await response.json();
return { data };
} catch (error) {
// Handle network or other errors
return {
error: {
message: error instanceof Error ? error.message : 'Unknown error occurred',
},
};
}
}
// Sample data interfaces
interface User {
id: number;
name: string;
email: string;
}
interface Product {
id: number;
name: string;
price: number;
}
// Example usage
async function main() {
// Fetch users with query parameters
const userResponse = await fetchData<User[]>(
'https://api.example.com/users',
{
queryParams: { limit: 10, page: 1 },
headers: { Authorization: 'Bearer token123' },
}
);
if (userResponse.data) {
console.log('Users:', userResponse.data);
} else {
console.error('User fetch error:', userResponse.error);
}
// Fetch products
const productResponse = await fetchData<Product[]>(
'https://api.example.com/products',
{
queryParams: { category: 'electronics' },
}
);
if (productResponse.data) {
console.log('Products:', productResponse.data);
} else {
console.error('Product fetch error:', productResponse.error);
}
}
main();
Explanation of Type Safety and Error Handling:
Generics:
T generic type ensures the data property in ApiResponse<T> matches the expected type (e.g., User[] or Product[]). This prevents type mismatches at compile time.fetchData<User[]> ensures the data property is typed as User[], and TypeScript will flag any incorrect usage.Response Structure:
ApiResponse<T> interface uses a union-like structure (data?: T; error?: ApiError) to ensure the response is either successful (data) or failed (error). This forces consumers to handle both cases explicitly.Query Parameters:
FetchConfig interface allows type-safe query parameters via Record<string, string | number>. The URLSearchParams API ensures parameters are correctly formatted in the URL.Error Handling:
ApiError with the status code and message.try-catch block and return an ApiError with a descriptive message.ApiError interface ensures errors are structured and type-safe.Type Safety Benefits:
fetchData knows the expected data type upfront, reducing runtime errors.data and error properties in ApiResponse ensure the consumer checks for errors before accessing data, preventing null/undefined errors.FetchConfig interface ensures only valid configuration properties are passed, and query parameters are safely serialized.Bonus Considerations:
body field to FetchConfig with proper typing.isSuccessResponse<T>(response: ApiResponse<T>): response is { data: T }).This question tests:
fetch.It’s suitable for intermediate to senior developers and can be scaled down (e.g., remove query params) or up (e.g., add request body handling) based on the candidate’s experience level.