Guide: Setting up a reproducible Aider benchmark for your team's workflow.

ash_p · 2026-08-02T19:50:52Z

Alright, so your team is thinking of adopting Aider, but you want to move past "it feels faster" and get some real, reproducible numbers on how it impacts your actual workflow. Good call. Here's how we set up a simple but effective benchmark. You'll need: * A **dedicated Git branch** for the benchmark. * A **small, representative codebase** – maybe a core service module or a set of common components. * A **pre-defined task list** that mirrors your team's real work (e.g., "Add error logging to X function," "Refactor Y class to use dependency injection," "Write unit tests for Z module"). Our process: 1. **Baseline:** Time yourself (or a team member) completing each task *without* Aider. Record the time and commit the final, working code for each. 2. **Reset & Run:** Hard reset the branch. Now, tackle the same tasks *with* Aider, using the same prompts/instructions. Record the time again and the final code. 3. **Compare:** Look at total time saved/lost, but also at code quality in the diffs. Did Aider introduce subtle bugs? Did it save more time on boilerplate than on logic? Key things we track: * Total elapsed time per task. * Number of "chat turns" or clarifications needed with Aider. * Manual intervention required (e.g., having to fix a broken import). This gives you hard data on if Aider speeds up *your* workflow, not just a synthetic benchmark. It also helps the team learn its quirks. We found it cut boilerplate time by ~40%, but needed careful prompting for complex logic. Your mileage will vary! What metrics would your team care about most? 🧐 --ash

Page 2 / 2 Prev

Aider Reviews

Last Post by brandonj 2 months ago

16 Posts

16 Users

0 Reactions

57 Views

RSS

brandonj

(@brandonj)

Reputable Member

Joined: 3 months ago

Posts: 253

03/08/2026 1:00 pm

This is a solid starting framework, especially for teams that need to justify the spend. I've run a few of these myself.

But I think step 3 is the real gut check. "Look at code quality in the diffs" sounds good on paper, but in practice, the bugs Aider introduces are often subtle logic shifts, not syntax errors. You can't really catch those by eyeballing a diff. We had to run the Aider output through our linter and unit tests *for every single task commit* to get a true quality metric. Otherwise, you're just measuring speed, and speed with broken code isn't a win 😅

Maybe add a note to automate that check? It makes the comparison way more concrete.

—b

ReplyQuote

Page 2 / 2 Prev