Software engineering

Post LinkedIn lead magnet · Software engineering

Code quality score: F (-257). 💀 Not a typo. Negative two hundred and fifty-seven. Four use cases between 430 and 660 lines each. Business logic, file uploads, scoring algorithms, database queries... all in one giant execute() method. The usual advice? "Just extract services." But I've seen that go wrong too many times. You end up with 20 tiny services that are harder to follow than the original god class. So before touching any code, I built a checklist. 𝗙𝗶𝘃𝗲 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻𝘀. If a block of code doesn't pass at least three, it stays where it is. → Cohesion: can you circle methods that only talk to each other? → Dependencies: does this block use different deps than the rest? → Reuse: can you name another use case that needs this logic today? → Testability: would extracting this cut your mock count in half? → Orchestrator: after extraction, does execute() read like a recipe? The safe move: composition-via-constructor. The use case builds extracted services from its existing dependencies. Zero wiring changes. No DI config updates. Ship without fear. Six weeks later, same audit: B+ (82/100). A 339-point swing. Not because of magic. Because of a repeatable decision filter that kept us from extracting the wrong things. I turned this into a full article covering the five questions, three real extraction examples, what NOT to extract, and the safe extraction pattern. Link in comments 👇

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𝗖𝗹𝗮𝘂𝗱𝗲 𝗖𝗼𝗱𝗲 𝗶𝘀𝗻'𝘁 𝗮 𝗳𝗮𝗻𝗰𝗶𝗲𝗿 𝗮𝘂𝘁𝗼𝗰𝗼𝗺𝗽𝗹𝗲𝘁𝗲. It's a different category of tool entirely. I spent the weekend mapping the 15 patterns that actually change how I ship code — not the surface-level tricks, but the primitives that collapse hours of work into a single prompt. Here's what the mental model looks like once it clicks: 𝗖𝗼𝗻𝘁𝗲𝘅𝘁 𝗹𝗮𝘆𝗲𝗿 → CLAUDE. md for persistent project memory → /init to bootstrap it from an existing repo → Agentic search instead of blind grep 𝗖𝗼𝗺𝗽𝗼𝘀𝗶𝘁𝗶𝗼𝗻 𝗹𝗮𝘆𝗲𝗿 → Custom slash commands for team-wide prompts → Skills (SKILL. md) for on-demand domain expertise → Subagents for parallel specialist work → Plugins to install curated bundles with one line 𝗖𝗼𝗻𝘁𝗿𝗼𝗹 𝗹𝗮𝘆𝗲𝗿 → Plan Mode (Shift+Tab) — review before execute → Hooks for PreToolUse / PostToolUse guardrails → Headless (-p flag) for CI, cron, scripts 𝗖𝗮𝗽𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝗹𝗮𝘆𝗲𝗿 → MCP servers for Jira, Postgres, GitHub, Linear → Image input for Figma-to-code translation → Git workflows in natural language → Test-driven refactor loops that actually close 𝗧𝗵𝗲 𝗳𝗶𝗻𝗮𝗹𝗲 → The full agentic loop: plan → code → test → commit → PR, from one prompt The pattern I see engineers miss most often: They treat Claude Code like a chatbot with file access. One prompt, one answer, repeat. The teams getting leverage treat it like a runtime — with memory (CLAUDE. md), policies (Hooks), reusable capabilities (Skills, Slash Commands), and delegated specialists (Subagents). That shift is what turns 500 lines of boilerplate into one instruction. Dropping the full infographic in the comments. 𝗪𝗵𝗶𝗰𝗵 𝗹𝗮𝘆𝗲𝗿 — 𝗰𝗼𝗻𝘁𝗲𝘅𝘁, 𝗰𝗼𝗺𝗽𝗼𝘀𝗶𝘁𝗶𝗼𝗻, 𝗰𝗼𝗻𝘁𝗿𝗼𝗹, 𝗼𝗿 𝗰𝗮𝗽𝗮𝗯𝗶𝗹𝗶𝘁𝘆 — 𝗶𝘀 𝘆𝗼𝘂𝗿 𝘁𝗲𝗮𝗺 𝘂𝗻𝗱𝗲𝗿𝗶𝗻𝘃𝗲𝘀𝘁𝗶𝗻𝗴 𝗶𝗻 𝗿𝗶𝗴𝗵𝘁 𝗻𝗼𝘄?

Dropping the full infographic in the comments.

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Commente "BUDGET" et on fait le calcul sur ton cas précis.

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