All Guides
Each guide is a single canonical page on the Codersera blog, kept current as the underlying tools and models evolve. Click through to read the full guide.
AI Coding Agents in 2026: The Complete Guide
Comprehensive 2026 guide to the major AI coding agents — Cursor, Claude Code, Cline, Aider, OpenCode, Windsurf, Void AI — with real pricing, model support, and workflow tradeoffs.
Read Full Guide →Cursor IDE in 2026: The Complete Developer's Guide
What Cursor is in 2026 — the 3.0 Agents Window era, parallel agents with /best-of-n on git worktrees, the credit-pool pricing reset, MCP with the 40-tool ceiling, and where Claude Code, Cline, Aider, and Void AI win instead.
Read Full Guide →Gemma 4: The Complete Developer Guide (2026)
Gemma 4 shipped Apache 2.0 — the biggest change from prior generations. Variants, real benchmarks, hosted pricing, and how it stacks against DeepSeek V4 Flash, Llama 4, and Qwen 3.5.
Read Full Guide →Gemini 3.5 Complete Guide: Flash, Pro, Pricing & How It Compares (2026)
Google's Gemini 3.5 Flash shipped at I/O 2026 as the new default Gemini. The complete developer's guide — pricing, context, multimodal, how it stacks up against Claude and GPT-5.5.
Read Full Guide →Kimi K2.6: The Complete Developer Guide (2026)
Kimi K2.6 ties GPT-5.5 on SWE-bench Pro at 5–6x lower cost — with agent swarms, 13-hour autonomous runs, and open weights. Where it wins, where Opus 4.7 still leads.
Read Full Guide →Llama 4: The Complete Developer Guide (2026)
Definitive 2026 guide to Meta's Llama 4: variants, real benchmarks, license restrictions, hosted-provider pricing, self-hosting, and competition vs DeepSeek V4, Qwen 3.5, and Gemma 4.
Read Full Guide →Claude Opus 4.7: The Complete Developer Guide (2026)
Where Claude Opus 4.7 is still the best model and where DeepSeek V4 or GPT-5.5 win — with real benchmark numbers, prompt-caching math, and a frank take on cost.
Read Full Guide →Qwen 3.5: The Complete Developer Guide (2026)
Why Qwen 3.5 has been quietly winning on cost-per-quality — variants, real benchmarks, hosted pricing, and self-hosting tradeoffs vs DeepSeek V4 and Llama 4.
Read Full Guide →GPT-5.5: The Complete Developer Guide (2026)
What GPT-5.5 actually ships, what it costs, where it leads on agentic and tool-use reliability, and where Claude Opus 4.7 or DeepSeek V4 are the better pick.
Read Full Guide →Apple Silicon LLMs 2026: MLX + What Runs on 8–512 GB
What MLX is, which models fit each unified-memory tier with measured sizes, how fast a Mac really is, and which Mac to buy. Updated for MLX 0.32.3 and the October 2026 M5/M6 lineup.
Read Full Guide →AGENTS.md in 2026: Tool Support and CLAUDE.md Precedence
AGENTS.md is the Linux Foundation-stewarded open standard 60,000+ repos use to guide AI coding agents. Spec, native support in 20+ tools, real-world examples, monorepo patterns, and how SKILL.md fits alongside it.
Read Full Guide →Open-Source LLM Landscape 2026: What's Actually Open
The open-weight LLM map, rebuilt October 2026. GLM-5.3, Kimi K3, DeepSeek V4.1-Flash, Qwen 3.8, Gemma 4 — with every licence read from source, because several headline "open source" models carry revenue-gated restrictions.
Read Full Guide →DeepSeek V4: The Complete Guide (2026)
The definitive 2026 guide to DeepSeek V4 Pro and V4 Flash: architecture, benchmarks, pricing, hardware, API integration, and migration from Claude or GPT.
Read Full Guide →Self-Training a Small LLM From Scratch: The 2026 Complete Guide
Pre-training a small LLM from scratch in 2026 — the nanochat starter, the architecture template that won, what datasets to use, and when self-training beats fine-tuning.
Read Full Guide →Fine-Tuning LLMs: The Complete 2026 Guide (LoRA, QLoRA, Unsloth, Axolotl, MLX)
When fine-tuning an open-weight LLM actually wins over RAG or prompts — and how to do it cheaply with Unsloth, Axolotl, or MLX-LoRA. Datasets, hyperparameters, evaluation, costs, and the failure modes that quietly ruin most first runs.
Read Full Guide →Hire Remote Developers: The Complete Guide (2026)
How to hire vetted remote developers in 2026 — vetting, cost, contracts, onboarding, red flags. With a risk-free trial.
Read Full Guide →Software Testing in 2026: The Complete Engineer's Guide
An opinionated 2026 guide to software testing for engineers who own quality — pyramid vs trophy, frameworks per ecosystem, AI-augmented testing, performance, flakiness, and when to outsource.
Read Full Guide →Mobile App Testing in 2026: The Complete Guide
How to actually ship a mobile app testing strategy in 2026: pyramid mapping, frameworks, device clouds with real pricing, CI/CD integration, and when to outsource vs in-house.
Read Full Guide →iOS Simulators in 2026: The Complete Guide for Developers
Xcode Simulator, online iOS emulators, and device clouds — what each is actually good for, what it costs, and the iOS-emulator-for-Windows scams to skip.
Read Full Guide →Self-Hosting LLMs in 2026: The Complete Guide
When to self-host LLMs vs use the API, what hardware and inference stack to choose, and which open-weight models actually work — with real numbers and crossover thresholds.
Read Full Guide →Android Emulators in 2026: The Complete Guide for Developers
Definitive 2026 guide to Android emulators for developers and QA: official AVD, BlueStacks, LDPlayer, Nox, MEmu, Genymotion, Waydroid, and cloud testing — with hardware specs and pricing.
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