completely different coding setups individuals use for programming. On this article, I’ll take you thru my private coding setup and the instruments and functions that I take advantage of to attain most effectivity when programming.
This can be a setup that I’ve created via intensive testing and experimenting myself via trial and error. Whereas testing, I’ve tried to make use of a number of completely different functions for programming, and every of them has benefits in several settings.
I’ll take you thru the present coding setup I’ve, although it’s, in fact, topic to alter quickly sooner or later with the speedy development of LLM expertise.
I’m not sponsored by any of the tooling talked about on this video, and it’s merely the tooling I take advantage of on a day-to-day foundation as a programmer.
Why optimize your coding setup
As a programmer, your coding setup is likely one of the most vital components you may optimize. That is the place you spend most of your time fixing completely different issues. Due to on a regular basis you spend together with your coding setup, it’s best to spend time ensuring it’s optimized in your private workflows.
Personally, I at all times search for alternatives to make my setup extra environment friendly. For an extended time frame, I used Cursor every day because the platform from which I did all my coding. A couple of weeks in the past, I immediately shifted to utilizing purely Claude Code via Warp, which basically makes up nearly all of my coding setup.
The change from utilizing Cursor to utilizing Claude Code via Warp was probably the most important productiveness will increase I’ve skilled since I first observed how environment friendly brokers might program for me. Warp + Claude Code has helped me massively in my day by day work as an information scientist in a startup engaged on doc AI.
Strolling via my coding setup
On this part, I’ll stroll you thru the completely different tooling, methods, and approaches I take advantage of to optimize my coding setup. I’ll cowl the functions I take advantage of on a day-to-day foundation, but additionally how I make the most of and get probably the most out of those functions and different vital methods I take advantage of to make my coding as efficient as attainable.
The entire ideas I’ll cowl on this part have a major affect on my productiveness as an engineer.
Tooling
To begin with, I need to cowl the tooling I take advantage of. I take advantage of Claude Code and Warp for nearly all of my coding. If I need to test some manufacturing logs or if I need to repair a bug or implement a brand new characteristic, I’ll basically at all times use Claude Code in Warp.
Inside Warp, I’ve the next setup. I’ve every tab in Warp as a separate folder I’m working in. So if I’m working in folder A, that’s my first tab in Warp. And if I’m working in folder B, that’s my second tab. Now, I usually discover myself having a number of brokers operating throughout the similar folder. On this case, I make a cut up pane utilizing CMD + D in Warp, so my tab is cut up into a number of panes. Relying on the duty I’m engaged on, I might have as much as 5 brokers working throughout the similar repository. After which I’ve completely different repositories in several Warp tabs.
I need to word one exception the place I take advantage of Cursor as an alternative of Claude Code: Once I want full management of the code. For instance, if the characteristic is of essential significance or part of essential infrastructure. Additionally, usually once I run vital migration scripts or backfilling scripts, I’ll additionally do it in Cursor as a result of this provides me extra management of the code. I may also run the code myself via interactive home windows with Python.
Git worktrees
As I discussed in my earlier part, I typically discover myself operating a number of brokers throughout the similar repository. When you have a number of brokers updating information on the similar time in the identical repository, you’ll run into issues with brokers colliding with one another. To resolve this drawback, you need to use Git Worktrees.
Git worktrees are basically copies of Git repositories which you could make to have brokers run fully separate from one another. So at any time when I spin up a brand new agent, I inform it to start out a brand new git worktree for what it’s engaged on. and that agent can now work fully individually from all different brokers working in the identical repository.
That is a necessary characteristic if you wish to work with parallel brokers in Claude Code (which is likely one of the main advantages of working with Claude Code). Thus, it’s best to positively be using Git Worktrees in your day-to-day programming with parallel brokers.
Slash instructions
Slash instructions are one other very highly effective characteristic. Slah instructions are basically saved prompts, so you may rapidly entry a immediate that you’ve got saved on a earlier event. For instance, you probably have a really repetitive immediate, it’s best to retailer it as a slash command. Some examples of this are:
Slash instructions are extremely highly effective, and I’ve lined them in one among my earlier articles. The good thing about slash instructions is twofold. To begin with, you save time by not having to write down out the immediate each time. So as an alternative of getting to write down out an extended immediate, telling the mannequin that it must:
- Pull the most recent dev department and rebase on prime of it
- Run precommit checks
- A very good PR description
- Make a pull request from a characteristic department to dev
As a substitute of getting to write down out all of this, you may merely retailer this immediate in a slash command and entry the immediate immediately.
The second benefit is that you just get to be extra constant when writing your prompts. For instance, when creating pull requests to dev, as I discussed, you would need to run a sequence of checks (pull newest dev department, rebase, run precommit checks, …). When you write this out each time, you threat forgetting elements of the immediate. This isn’t an issue for those who use slash instructions, nevertheless, since you’ll at all times be using the identical immediate, and also you’ll be extra constant.
Slash instructions make you each quicker and extra constant
Low threshold to fireplace off brokers
One other subject I need to cowl is that it’s best to have an excellent low threshold to fireplace off brokers to carry out duties for you. At any time when you may consider a brand new process or get a brand new drawback you need to clear up, it’s best to simply hearth off an agent. For instance, if I discover a button that’s misaligned, some textual content in my utility that must be up to date, or translations that need to be up to date. I merely hearth off a brand new agent, let it run totally autonomously, and create a pull request for me.
The principle level is that it’s best to have a low threshold to fireplace off brokers as a result of it’s so low cost to run and prices you so little time. The price of firing a brand new agent is actually spending time writing out immediate and, in lots of circumstances, answering a couple of questions the brokers have so that you can correctly perceive the duty you gave them.
There at the moment are many instruments on the market that supply plenty of token utilization for a comparatively low value. For instance, I’m utilizing the $200 Claude Code subscription, which is a set quantity monthly, and I’ve by no means run into charge limits. This implies I can hearth off as many brokers as I can with out extra price.
Make the most of one of the best fashions
One other tip I’ve would possibly sound very apparent, however I at all times suggest utilizing one of the best fashions everytime you work with programming. The rationale for that is that in the long run, this protects you each money and time.
Sure, one of the best fashions are usually the costliest fashions per token and are additionally the slowest fashions. Nevertheless, it seems that for those who use cheaper fashions, they may extra typically make errors, which takes extra time so that you can repair and iterate on, which once more makes the mannequin make the most of much more tokens. Thus, ultimately, it typically seems that utilizing a less expensive, smaller mannequin truly seems to be dearer and time-consuming.
It’s best to due to this fact be using the frontier fashions comparable to Gemini 3 Professional, Claude 4.5 Opus, and GPT 5.2 Codex. There are additionally some up-and-coming open supply fashions performing properly on the coding benchmarks, although I haven’t achieved the identical success with open supply fashions as I’ve achieved with frontier closed supply fashions.
Conclusion
On this article, I’ve lined how one can have a most effectivity coding setup. I’ve mentioned the coding setup I take advantage of on a day-to-day foundation, the place I take advantage of the Warp terminal with Claude Code. Moreover, I take advantage of particular methods comparable to organizing Warp with cut up panes and tabs by the folder I’m engaged on. I’m additionally ensuring to at all times use the most recent and greatest coding fashions. I imagine spending time optimizing your coding setup is an excellent use of time. As a programmer, your coding setup is likely one of the stuff you spend probably the most time with, and if you can also make that a couple of proportion factors extra environment friendly, it should probably repay in the long term.
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