Start small and build habits that stick. Break tasks into tiny steps, name functions clearly, and write one test for every bug you fix. Use consistent formatting and pick coding styles that are readable at a glance. Short functions and clear variable names save hours when you revisit code. When you hit a problem, write a minimal example that reproduces it — that alone often reveals the fix.
Speed matters, but not clicking fast. Learn keyboard shortcuts in your editor and automate repetitive changes with simple scripts or search-and-replace patterns. Use a task runner or makefile for builds and tests so you never run the wrong command. Profile before optimizing; measure where time goes and fix the real hotspots.
Treat debugging like detective work. Read error messages slowly, then search logs and add prints or temporary assertions to narrow the cause. Learn one debugger well — knowing how to step, inspect variables, and set conditional breakpoints speeds up root cause discovery. Write small tests that cover the bug scenario; regression tests pay off when code changes later.
Favor composition over duplication. If you find repeating code, extract it into a small function or helper. Keep modules focused: one responsibility per file or class makes behavior predictable. Use clear folder structures and name tests to match features so new teammates can find logic fast. Reuse libraries for common problems but prefer small, well-documented packages.
Document decisions more than code. A short note about why something exists prevents future rewrites and saves time during code reviews.
Pair programming and code reviews are efficient. Fresh eyes catch blind spots: security issues, edge cases, and naming problems. Focus reviews on intent and tests, not tiny style nitpicks — use linters and formatters for that.
Keep learning targeted. Pick one area to improve each month — a new language feature, a testing tool, or a performance trick. Apply what you learn on a real task the same week. Small, steady wins compound into real speed and confidence.
Tools matter but don't chase every shiny thing. Invest time in the editor, debugger, and CI pipeline where gains repeat every day. Automate releases and tests so you spend fewer hours on manual steps and more on building features.
Pick three techniques from this page and use them on your next ticket. Force one habit change at a time — that turns tips into real skill.
Example: fix a slow function. Start by writing a failing test that proves slowness under realistic input. Profile to find the slow call, then try a caching or algorithm change. Re-run tests and measure; if the change helps and tests pass, add the test to prevent regressions. Commit with a clear message describing the why and the measurable result.
Start today: pick one file, simplify a function, add a test, and run the profiler. Small actions compound fast. You'll notice progress within weeks. Keep going.