Building a Custom AI Code Assistant: Better Than Copilot for Our Codebase
Built custom AI code assistant fine-tuned on our codebase - 85% accuracy vs 60% for generic Copilot. 40% productivity gain
243 articles
Built custom AI code assistant fine-tuned on our codebase - 85% accuracy vs 60% for generic Copilot. 40% productivity gain
Tested Gemini 2.0 with 2M token context, native multimodal, and improved reasoning. Compared to GPT-4 and Claude 3.5 on real tasks
Compared 3 leading image generation models - quality, speed, cost, control. Midjourney v6 wins for quality, SDXL for control
Tested OpenAI's o1 reasoning model on complex problems - math, coding, logic. 10x better reasoning than GPT-4, but slower and more expensive
Implemented 5 AI integration patterns - API wrapper, streaming, batch, RAG, agent. Serving 1M requests/day across all patterns
Deployed 10 AI agents serving 100K users/day - monitoring, error handling, cost optimization, and scaling strategies that actually work
Tested 3 AI-powered search engines for research tasks - accuracy, speed, sources. Perplexity won with 92% accuracy
Fine-tuned GPT-3.5 for legal document analysis - 70% → 95% accuracy. Complete guide with code, data prep, and evaluation
Tested 3 major AI IDEs for 60 days - productivity, accuracy, cost. Cursor won with 45% productivity gain
Comprehensive review of Claude 3.5 Sonnet - tested against GPT-4, Gemini 1.5 Pro on coding, reasoning, and writing. Surprising results
Built hybrid recommendation system using collaborative filtering + LLMs. Increased CTR from 5% to 35% and revenue by $2M/year
Created 20+ tools for AI agents - web search, code execution, database access, and more. Increased agent capabilities by 10x
Comprehensive guide to reducing AI costs - caching, prompt optimization, model selection, and hybrid approaches. Cut our monthly bill from $50K to $10K
Implemented GDPR-compliant AI system - data anonymization, right to deletion, audit trails. Passed compliance audit with 100% score
Built AI-powered content moderation system - 99.5% accuracy, <100ms latency. Reduced manual moderation by 90%
Implementing persistent memory for AI agents - short-term, long-term, and episodic memory. Improved task completion from 70% to 95%
Comprehensive comparison of open-source AI models - Llama 3, Mistral, Falcon, and more. Performance, cost, and deployment strategies for production use
Navigating EU AI Act, US Executive Order, and global AI regulations - compliance strategies, cost impact, and practical implementation for developers
Complete guide to enterprise AI adoption - governance, security, ROI measurement, and scaling. Deployed AI across 5000-person organization
Implemented multi-agent system with 5 specialized agents - 3x faster than single agent, 40% better quality, handling complex workflows autonomously
Analyzing rumors, patents, and industry trends to predict GPT-5 capabilities - multimodal mastery, reasoning improvements, and potential release timeline
Implemented AI customer support handling 10K tickets/day - reduced response time from 24h to 30s, 85% automation rate, $500K annual savings
Complete guide to building AI agents - architecture, tools, memory, error handling, and deployment. Built 5 agents serving 50K users/day
Examining how the technology industry is addressing its environmental impact and pioneering solutions for a more sustainable future.
Automating repetitive tasks with GPT-4 and LangChain - from ticket triage to code reviews, saving 20 hours/week across the team
Testing 3 major AI agent frameworks in production - built the same application with each, compared performance, ease of use, and capabilities
Building domain-specific prompts for healthcare, finance, and legal - improved accuracy from 70% to 95% with specialized prompting techniques
Production-ready LangChain implementation - error handling, monitoring, cost optimization, and scaling strategies from running LangChain apps serving 100K+ requests/day
Using GPT-4 for security audits - found 34 vulnerabilities including SQL injection, XSS, and auth bypass in production code
Exploring the evolution from conversational AI to autonomous agents that can plan, execute tasks, and make decisions independently.
Systematic prompt optimization - reduced token usage by 60%, improved output quality by 40%, and cut API costs from $2000 to $800/month
Using GPT-4 to optimize slow SQL queries - reduced query time from 45s to 4s, identified missing indexes, and improved database schema
Master advanced prompting techniques - Chain of Thought, Tree of Thoughts, ReAct, and more. Improved output quality by 3x with these patterns
Testing 3 AI code review tools in production - automated PR reviews, bug detection, and code quality improvements across 200+ pull requests
Testing Cursor AI IDE in real projects - AI-powered code completion, chat, and refactoring. Productivity increased 40% but with caveats
Using AI to design RESTful APIs - improved consistency, better naming, comprehensive documentation, and reduced design time by 60%
Using GPT-4 to migrate 100K lines from Python 2 to Python 3 - automated conversion, testing, and validation saved 6 months of manual work
OpenAI's GPT-4o brings multimodal AI to new heights - testing real-time voice conversations, vision capabilities, and performance improvements in production
Using GPT-4 and static analysis to detect bugs - found 47 critical issues in legacy codebase, preventing production incidents
Testing Vercel's v0.dev - AI generates complete React components with Tailwind CSS from natural language, built 5 landing pages in 2 hours
Testing Claude 3 Opus against GPT-4 in real-world scenarios - code generation, reasoning, cost, and performance benchmarks from 30 days of production use
Testing Devin AI on real development tasks - from bug fixes to full features, evaluating if AI can truly replace junior developers
Automating technical documentation with GPT-4 - API docs, README files, and user guides generated from code, reducing documentation time from days to hours
Testing Gemini 1.5 Pro's massive context window - analyzed entire codebases, 500-page documents, and 2-hour videos in single prompts
Early access to Sora video generation - testing text-to-video capabilities, limitations, and practical applications for content creators
Complete guide to prompt engineering - techniques, patterns, and real-world examples that improved AI output quality by 300%
Using GPT-4 to generate comprehensive test suites - automated test creation, edge case discovery, and test quality improvement
Testing GitHub Copilot Workspace - AI handles entire development workflow from requirements to deployment, reducing feature development time by 60%
Comprehensive review of 2023's AI developments, from GPT-4's release to the explosion of AI tools and applications.
Security considerations for AI applications, including prompt injection prevention, data privacy, and secure API usage.
Comprehensive comparison of AI code generation tools based on 6 months of daily use across multiple programming languages and frameworks.
Building production-ready RAG systems for question-answering over custom documents, including chunking strategies and optimization techniques.
Exploring GPT-4 Vision capabilities for image analysis, OCR, diagram understanding, and multimodal applications.
Practical strategies for reducing AI API costs through caching, prompt optimization, and smart model selection.
Comparing vector databases for AI applications, including setup, performance benchmarks, and use cases for semantic search and RAG systems.
Using GPT-4 to automate technical documentation generation, including API docs, code comments, and user guides, saving 15+ hours per week.
Using GPT's function calling feature to build AI agents that can use tools, query databases, and perform actions.
Advanced prompt engineering techniques including chain-of-thought, few-shot learning, and role-based prompting for optimal AI performance.
Comprehensive guide to testing AI applications, including unit tests, integration tests, and evaluation metrics for LLM outputs.
Complete guide to building autonomous AI agents using LangChain, including tool integration, memory management, and real-world applications.
Strategies for managing conversation history and context in AI chatbots, including summarization and selective memory techniques.
Hands-on experience with Microsoft 365 Copilot, exploring how AI integration transforms Word, Excel, PowerPoint, and Outlook workflows.
Exploring Meta's LLaMA open-source language model, including local deployment, fine-tuning, and comparison with proprietary models.
Building scalable content moderation systems using AI, including text classification, image analysis, and real-time filtering.
Complete guide to building and deploying ChatGPT plugins, including authentication, API design, and real-world examples.
First impressions of Google Bard after extensive testing, comparing its capabilities with ChatGPT and Claude across various tasks.
Comprehensive review of Claude, Anthropic's AI assistant focused on safety and helpfulness, comparing it with ChatGPT and exploring its unique features.
Implementing semantic search using OpenAI embeddings, including indexing strategies, similarity search, and performance optimization.
Comprehensive comparison of GPT-4 and GPT-3.5 based on 100+ hours of testing across coding, writing, reasoning, and creative tasks.
How ChatGPT and large language models transformed our relationship with AI in 2023, reshaping work, education, and creative processes.
Practical guide to implementing ethical AI practices in production, including bias detection, safety measures, and responsible deployment.
Step-by-step guide to fine-tuning GPT-3.5 for domain-specific tasks, including data preparation, training, and evaluation.
Reviewing the AI tools that transformed software development in 2022, from GitHub Copilot to Stable Diffusion and ChatGPT.
My first week with ChatGPT - exploring its capabilities, limitations, and why this feels like a watershed moment in AI history.
Setting up comprehensive monitoring and alerting for production systems using Prometheus, Grafana, and Alertmanager.
Exploring the emergence of AI-generated art in 2022 and its profound implications for creativity, copyright, and the future of artistic expression.
Comprehensive guide to securing Kubernetes clusters in production, including RBAC, network policies, secrets management, and security scanning.
A practical comparison of GraphQL and REST APIs based on real-world projects, including performance benchmarks and use case recommendations.
An in-depth comparison of Midjourney and DALL-E 2 based on 200+ generated images, covering quality, style, pricing, and use cases.
Leveraging Python's asyncio and aiohttp to build high-performance async applications, handling 10K+ concurrent requests.
Implementing distributed tracing and metrics collection across microservices using OpenTelemetry, Jaeger, and Prometheus.
A comprehensive guide to setting up and running Stable Diffusion on your local machine, including hardware requirements, installation steps, and optimization tips.
Implementing a fast and relevant full-text search system using Elasticsearch, including indexing strategies, query optimization, and relevance tuning.
Building a scalable real-time chat application using WebSockets, Redis Pub/Sub, and Node.js with support for 10K concurrent connections.
Practical PostgreSQL performance tuning techniques that reduced query times from 500ms to 20ms, including indexing strategies, query optimization, and configuration tuning.
Setting up a production-ready CI/CD pipeline with GitHub Actions, including testing, building, security scanning, and deployment.
Testing AI-powered code review tools including GitHub Copilot, DeepCode, and CodeGuru to see if they can replace or augment human code reviews.
MongoDB schema design patterns and anti-patterns learned from managing a 500GB database with 100M+ documents.
How I optimized a Rust data processing pipeline from 2 seconds to 50 milliseconds through profiling, algorithmic improvements, and Rust-specific optimizations.
Implementing effective API rate limiting using Redis, token bucket algorithm, and distributed rate limiting across multiple servers.
Master the art of prompt engineering for GitHub Copilot to get higher quality code suggestions and boost your productivity.
Advanced Docker Compose patterns for production deployments, including health checks, secrets management, and high availability configurations.
Optimizing a React application's load time from 3 seconds to 300ms through code splitting, lazy loading, memoization, and bundle optimization.
How we scaled our microservices architecture from 500 to 10,000 requests per second using Kubernetes, including real metrics, challenges, and lessons learned.
How we migrated from manual AWS console management to Terraform, managing 50+ resources across multiple environments with version control and automation.
After 3 months of using GitHub Copilot in production, here's an honest review of its impact on development workflow, productivity gains, and unexpected challenges.
Comprehensive review of 2021's tech developments: GPT-3's impact, GitHub Copilot launch, cloud native maturity, and emerging trends.
Migrating to Vue 3 Composition API for better code organization, reusability, and TypeScript support in large-scale applications.
Building a complete monitoring and alerting stack with Prometheus and Grafana for microservices architecture.
Exploring OpenAI Codex capabilities for code generation, translation, and explanation across multiple programming languages.
Optimizing AWS Lambda functions to reduce cold starts from 3 seconds to 300ms using provisioned concurrency and other techniques.
Building blazingly fast web services with Rust and Actix-web, achieving 50K+ requests per second with minimal resource usage.
Building production-ready chatbots using GPT-3, including context management, conversation flow, and handling edge cases.
An analysis of how cryptocurrency moved from niche technology to mainstream investment in 2021, and what it means for the future of finance.
Mastering MongoDB aggregation pipeline for complex data transformations, analytics, and reporting with real-world examples.
Using Docker multi-stage builds to reduce image size from 1.2GB to 120MB while improving build times and security.
Comprehensive comparison of AI code completion tools: GitHub Copilot, Tabnine, and Kite based on 2 months of daily use.
Mastering advanced TypeScript types including conditional types, mapped types, and template literal types for bulletproof applications.
Implementing GraphQL Federation to unify 15+ microservices into a single API gateway, improving developer experience and performance.
One month with GitHub Copilot: measuring productivity impact, analyzing code quality, and sharing best practices for AI pair programming.
Advanced Go concurrency patterns using goroutines and channels, with real-world examples from high-throughput systems.
Experimenting with GPT-3 for code generation tasks, comparing results across Python, JavaScript, and SQL with real-world examples.
Implementing effective Redis caching strategies to reduce API response time from 500ms to 10ms, handling 10K+ requests per second.
Exploring Next.js 11's new features including improved performance, Webpack 5 support, and enhanced developer experience.
First impressions of GitHub Copilot technical preview, testing AI-powered code completion across multiple programming languages.
Optimizing PostgreSQL JSONB queries from 2 seconds to 50ms using indexes, query planning, and schema design.
Deep dive into React Server Components, exploring the new paradigm for building faster React applications with zero-bundle-size components.
Experimenting with DALL-E for text-to-image generation, exploring its capabilities, limitations, and potential applications.
Real-world lessons from deploying and managing 50+ microservices on Kubernetes, including scaling, monitoring, and disaster recovery.
Building a production-ready content generation system using OpenAI's GPT-3 API, including prompt engineering, rate limiting, and cost optimization.
Built real-time chat and notifications with WebSockets + Redis Pub/Sub. Handles 100K concurrent connections, <50ms latency
Optimized MongoDB queries with aggregation pipeline - query time 30s → 2s (93% faster), complex analytics now possible
Built sentiment analysis with BERT - 94% accuracy on customer reviews. Processed 100K reviews/day, identified issues 3 days earlier
Built recommendation engine - increased engagement 35%, revenue +25%, personalized recommendations for 1M users
Deployed ML model to production - 1000 predictions/s, <100ms latency, auto-scaling. Serving 1M predictions/day
Upgraded to PostgreSQL 13 - B-tree deduplication, parallel vacuum, incremental sort. Query performance improved by 40%, vacuum 2x faster
Built LSTM forecasting model - 85% accuracy, predicts server load 24h ahead, auto-scaling saves $5K/month
Migrated from REST to gRPC microservices in Go - latency 100ms → 5ms (95% reduction), throughput 10x higher
Built advanced Grafana dashboards - variables, annotations, alerts, custom panels. Reduced MTTR from 30min to 5min
Built NER system for document processing - 92% accuracy, extracts entities from 10K docs/hour, automated data extraction
Upgraded from traditional ML to BERT transformers - accuracy 80% → 95%, handles context better, production-ready
Built API gateway with Kong - rate limiting, authentication, caching. Handles 50K req/s, reduced backend load by 70%
Implemented GitOps with ArgoCD - deployment time 30min → 2min, zero manual kubectl, full audit trail. 100% declarative
First hands-on with GPT-3 API - built text summarization, code generation, Q&A system. 90% accuracy, mind-blowing capabilities
Optimized Elasticsearch cluster - proper indexing, shard sizing, query optimization. Query time 10s → 100ms (99% improvement)
Migrated from Jenkins to GitHub Actions - build time 15min → 5min, zero infrastructure maintenance, 100% cloud-native
Exploring how the global shift to remote work in 2020 transformed the way we think about productivity, collaboration, and work-life balance.
Deployed Istio service mesh - zero-downtime deployments, automatic retries, distributed tracing. MTTR reduced by 70%
Upgraded to Redis 6.0 - implemented ACL for multi-tenant security, SSL/TLS encryption. Eliminated security vulnerabilities, zero breaches
Migrated to Terraform - managing 100+ AWS resources as code. Deployment time 2h → 10min, zero configuration drift
Upgraded to Kubernetes 1.18 - kubectl debug, topology-aware routing, ingress improvements. Reduced debugging time by 60%
Optimized Nginx for high traffic - 10K → 100K concurrent connections, latency -60%, proper caching and load balancing
Fixed Prometheus high cardinality issue - reduced time series from 10M to 100K (99% reduction). Query performance improved 50x
Migrated React app to Hooks - code reduced by 40%, performance improved 25%, developer experience much better
Optimized MySQL 8.0 with new features - query performance 10x, instant DDL, invisible indexes. QPS 1K → 10K
Optimized Docker images with multi-stage builds - reduced image size from 1.2GB to 50MB (96% reduction). Faster deployments, lower costs
Migrated to Python 3.8 - walrus operator, positional-only params, f-string debugging. Code cleaner, performance +15%
Reflecting on 2019 - a year of Kubernetes maturity, new technologies, and transition to technical leadership.
Early experience migrating to Vue 3 alpha - Composition API, breaking changes, performance improvements, and lessons learned from production testing
Profiling and optimizing Go applications - reducing CPU usage by 60% and memory by 70% using pprof, benchmarks, and real production examples
Using AWS Fargate for running batch jobs without managing servers.
A comprehensive guide to async/await, Promise patterns, and handling concurrency in modern JavaScript applications
Exploring optional chaining (?.) and nullish coalescing (??) operators coming in ES2020.
Choosing the right Docker storage driver - comparing overlay2, devicemapper, and aufs with real-world benchmarks and production recommendations
Managing configuration for 30+ microservices - comparing Consul and etcd, implementing dynamic config updates, and achieving 99.99% uptime
Implementing HPA to automatically scale microservices based on CPU, memory, and custom metrics
Exploring Go 1.13's new features including error wrapping, module improvements, and number literals.
Migrating databases without downtime - backward-compatible changes, dual-write pattern, and migrating 500GB database with zero user impact
Implementing zero-trust networking in Kubernetes using Network Policies, including real-world examples and common pitfalls
Monitoring Istio service mesh - traffic metrics, distributed tracing, service dependencies, and debugging microservices with zero code changes
Exploring Vue's new Composition API RFC and how it solves code organization problems in large applications.
Migrating to Docker BuildKit for parallel builds, better caching, and 3x faster build times
Our experience migrating from self-managed Kubernetes (kops) to Amazon EKS in production.
Mastering Kubernetes pod placement - node affinity, pod anti-affinity, taints/tolerations, and building a custom scheduler for special workloads
My experience migrating a large Vue 2 application to the new Composition API, including patterns, gotchas, and performance improvements
Understanding Kubernetes Operators and how they automate deployment and management of complex applications.
Setting up Redis Cluster for production - sharding, replication, failover, and handling 1M+ requests per second
Upgrading to Python 3.8 and leveraging new features like the walrus operator, positional-only parameters, and performance improvements
Evaluating Jenkins X and GitOps workflow for Kubernetes deployments.
Practical error handling patterns in Go, including wrapping, custom errors, and strategies for building robust microservices
Building highly available Prometheus setup with Thanos - unlimited retention, global queries, and surviving datacenter failures
Reflecting on 2018 - a year of scaling systems, maturing processes, and professional growth.
Optimizing Vue.js production builds - code splitting, tree shaking, compression, and reducing bundle size by 96%
Building a comprehensive test suite with pytest - fixtures, parametrization, mocking, coverage, and CI integration
Testing Istio and Linkerd to solve microservices networking challenges - traffic management, security, and observability
Understanding Docker networking modes - when to use each, performance implications, and debugging network issues in production
Evaluating Istio service mesh for Kubernetes - features, benefits, and whether the added complexity is worth it.
Implementing circuit breakers with resilience4j - protecting services from cascading failures and reducing recovery time from 30 minutes to 30 seconds
My experience running PostgreSQL and Redis on Kubernetes using StatefulSets, including storage, networking, and backup strategies
Exploring Java 11 LTS features and deciding whether to upgrade from Java 8.
Exploring Go modules (vgo) - Go's new official dependency management system introduced in Go 1.11.
Implementing Jaeger for distributed tracing - tracking requests across 20 microservices and reducing debugging time from hours to minutes
Our experience migrating from Vue CLI 2 to Vue CLI 3 and the benefits we gained.
Implementing canary releases with Kubernetes and Istio - gradual rollout, automated rollback, and catching bugs before they affect all users
Real-world patterns for using context.Context in Go microservices, including cancellation, timeouts, and request-scoped values
Practical overview of ES2018 features that are useful in everyday JavaScript development.
Managing persistent storage in Kubernetes - PV, PVC, StorageClass, dynamic provisioning, and running databases in production
How Helm simplifies Kubernetes deployments with templating and package management.
How we adopted Python type hints and mypy static type checking to catch bugs early and improve code quality
Implementing robust PostgreSQL backup strategies - pg_dump, pg_basebackup, PITR, and the disaster recovery plan that saved our business
Exploring Java 10's new var keyword for local variable type inference and when to use it.
My experience migrating a Vue SPA to server-side rendering using Nuxt.js for better SEO and performance
Migrating from Scripted to Declarative Pipeline syntax in Jenkins for better readability and maintainability.
Hardening Docker images for production by using minimal base images, scanning for vulnerabilities, and following security best practices
Configuring Alertmanager for production - routing rules, inhibition, silencing, and integrating with Slack and PagerDuty
Reflecting on 2017 - a year of major infrastructure changes, new technologies, and professional growth.
Optimizing Vue.js application performance - code splitting, lazy loading, computed caching, and virtual scrolling
Lessons learned from running Kubernetes in production for 6 months - the good, the bad, and the ugly.
Building robust concurrent systems in Go - worker pools, pipelines, context cancellation, and avoiding common pitfalls
How we set up Prometheus and Grafana for monitoring our microservices architecture.
Implementing effective caching patterns with Redis to dramatically improve API performance
Exploring Java 9's new module system (Project Jigsaw) and whether it solves real problems or adds unnecessary complexity.
Setting up Elasticsearch, Logstash, and Kibana for centralized logging - collecting logs from 15 microservices and making them searchable
Migrating a Flask service to async Python with aiohttp, achieving 5x throughput improvement
Trying out the Vue CLI 3.0 alpha and its new plugin system - a major improvement over the template-based approach.
Lessons learned from migrating our production infrastructure from EC2 instances to Kubernetes.
Implementing blue-green deployment strategy for zero-downtime releases - switching traffic, rollback in seconds, and lessons learned
Implementing distributed tracing across our microservices to debug performance issues and understand request flows
How async/await in ES2017 makes asynchronous JavaScript code look and behave like synchronous code.
Setting up automated deployments to Kubernetes using Jenkins Pipeline and kubectl.
Separating configuration from code with ConfigMaps and Secrets - environment-specific configs, secret management, and best practices
Best practices for designing and using interfaces in Go - keep them small, focused, and composable.
How I used Docker 17.05's multi-stage builds to create smaller, more secure production images
Setting up MySQL replication for read scaling and failover - master-slave configuration, monitoring lag, and handling failures
Practical lessons from building and deploying Go microservices in production over the past year.
Creating effective Grafana dashboards with Prometheus - from basic graphs to advanced alerting and team dashboards
Practical guide to deciding when to use Vuex for state management in Vue applications.
Migrating our microservices to Python 3.6 and adopting f-strings, type hints, and async improvements
How Docker multi-stage builds reduce image size and improve build times.
Reflecting on a year of technical growth, new technologies learned, and lessons from production systems.
Choosing the right Redis persistence strategy - RDB snapshots, AOF logs, and hybrid approach for our caching layer
My initial experience setting up a Kubernetes cluster and whether it's ready for production use.
Practical Go concurrency patterns I use in production code - worker pools, fan-out/fan-in, and timeouts.
How I optimized slow database queries using indexes, query analysis, and caching strategies
My first experience migrating a project to Vue 2.0 and what I learned about the new virtual DOM implementation.
Setting up automated build, test, and deployment pipeline with Jenkins 2.0 - from manual deploys to push-button releases
Lessons learned designing APIs for microservices, including versioning, error handling, and documentation strategies
How we improved our CI/CD pipeline by running Jenkins builds inside Docker containers for better isolation and reproducibility.
How I reduced our web app's load time by 75% through code splitting, lazy loading, and asset optimization
My thoughts on Go's error handling approach after 6 months of writing production Go code.
Controlling where pods run in Kubernetes cluster - node selectors, affinity, anti-affinity, and taints/tolerations
A practical guide to setting up Jenkins Pipeline (formerly Workflow) for continuous integration of Java applications.
War story: How I tracked down and fixed a memory leak in production using heap dumps and MAT.
Optimizing slow queries with proper indexing strategies - B-tree, partial indexes, and covering indexes in production
Practical strategies for reducing AWS EC2 costs including reserved instances, right-sizing, and auto-scaling.
Switching from Vagrant to Docker for local development environments, including setup, workflows, and lessons learned
Setting up Prometheus to monitor 5 microservices - metrics collection, alerting, and our first production incident caught by monitoring
A practical guide to understanding and using JavaScript Promises after years of callback hell.
Lessons learned from using Java 8 Streams in production code - the good, the bad, and the confusing.
Mastering component communication in Vue 2 - props down, events up, and event bus for sibling components
My first experience building a microservice architecture using Python Flask, moving away from a monolithic Django application
A practical comparison of Vue.js and React based on real project experience with both frameworks.
A practical look at ES6 features that have become essential in my daily JavaScript development.