of your AI coding agent is vital to its efficiency. It’s possible one of the crucial vital components figuring out what number of duties you may carry out with a coding agent and your success fee in doing so.
On this article, I’ll focus on particular methods I take advantage of to enhance the context of my AI brokers. I’ll clarify particularly how I do it, and why. It’s necessary to grasp why I’m utilizing these methods, so you can begin creating your individual methods sooner or later, and actually optimize your agentic coding.
Desk of Contents
Why optimize agentic context
The context you present your coding agent is all the knowledge it has to finish a activity. Thus, correctly managing your context is extremely necessary if you need your coding agent to work nicely.
Enhancing your context by a couple of % could have an enormous impression in your effectivity as an engineer should you spend many hours every day programming. I thus spend a variety of time, continuously making an attempt to optimize my programming with my coding agent.
The 4 methods I’ll current within the subsequent part are a results of my testing all kinds of various methods and approaches. On this article, I’ll solely cowl 4 of a very powerful methods and why they work so nicely. Sooner or later, I may additionally cowl some failed methods and mirror on why they didn’t work
4 particular methods
On this part, I’ll cowl 4 particular methods I make the most of to optimize the context for my coding brokers. I’ve written the methods in no explicit order, and I contemplate all of them necessary to me in my quest to be as environment friendly an engineer as doable.
At all times replace AGENTS.md
Most likely a very powerful approach I take advantage of is to continuously replace the AGENTS.md file. Continuous studying continues to be an unsolved downside for LLMs, thus we have to give you our personal options to make coding brokers keep in mind our preferences.
I’ve written a guidelines file for my coding agent, which specifies some preferences I’ve:
- At all times write Python 3.13 syntax if utilizing Python
- By no means use the Any kind
- At all times use sorts and docstrings for capabilities
These are preferences I’ve throughout all of the repositories I contact, and which I thus at all times need my agent to comply with. I like to recommend spending time reflecting by yourself coding guidelines and specifying them to your agent.
Moreover, each time my coding agent makes an error, I assist it right the error and inform the agent to recollect the repair in AGENTS.md. This makes certain the agent avoids this error sooner or later, and easily makes the agent sooner and extra environment friendly.
For those who proceed doing this over time, you’ll discover the agent turning into considerably higher and more adept at performing the duties you ask it to carry out. This could possibly be:
- Implementing new options
- Fixing bugs
- Checking manufacturing logs
This works so nicely since you’re offering your coding agent with the required context that you simply possess, however you by no means wrote down. By informing the coding agent in AGENTS.md, you present the mannequin vital context for downside fixing.
Word that you should use any Markdown recordsdata that you simply desire. Claude Code makes use of CLAUDE.md, Warp makes use of WARP.md, and Cursor makes use of .cursorrules. Nonetheless, I discover that the majority coding brokers at all times learn AGENTS.md, which makes it a very good file identify to retailer agentic reminiscence in.
Present documentation hyperlinks
One other tip is to supply related documentation hyperlinks to the mannequin, or to explicitly inform the mannequin to search out documentation on-line via an internet search.
I generally discover that my coding agent is utilizing outdated syntax, for instance, when interacting with the OpenAI API. In these cases, I present the mannequin a hyperlink to the newest OpenAI documentation and inform it to base its code on this.
The issue of coding brokers utilizing outdated code usually happens as a result of LLMs have a closing date, which essentially should be earlier than the mannequin was carried out coaching. The cutoff date for any given mannequin could possibly be over a 12 months in the past, wherein a variety of API documentation has modified. Thus, it’s essential to ensure the mannequin makes use of the newest obtainable documentation by offering it with hyperlinks to those docs.
Coding brokers typically makes use of outdated code due to the mannequin data cutoff. The repair to this downside is to supply the brokers with the newest API documentation
Present IaC stack as context
One other approach I make the most of is to supply details about my infrastructure as code (IaC) stack as context to my coding agent. That is extremely helpful when utilizing an agent to take a look at manufacturing logs (which you need to do).
I began utilizing this system after I observed my agent was spending a variety of time discovering data, such because the names of my database tables. For instance, if the agent needed to search out data from a desk, it first needed to listing all tables, guess which desk is related, and check out it. If it failed, it must strive a distinct desk.
This takes a variety of time and tokens, costing you each effectivity and cash, and is thus one thing you’ll want to keep away from.
To supply my agent with all of the IaC context, I had an agent undergo all the related IaC repositories and create a single Markdown file containing all related context, for instance, the names of all my database tables. I then present this file as context to my coding agent each time it’s related.
New threads on a brand new context
One other easy approach I make the most of is to begin new threads each time I’m coping with new contexts. For instance ,if I simply completed implementing a brand new function, and now need to repair a bug, I nearly at all times begin a brand new thread in Cursor.
The reason being that when implementing the brand new function, the mannequin shops a variety of context that’s utterly irrelevant to fixing the bug. This not solely fills up the mannequin context, however can even act as noise, distracting the mannequin from extra related data.
Thus, each time you may, you need to ensure that to begin new threads each time altering contexts. This could possibly be after you applied a brand new function, and need to repair a bug. Or after you mounted a bug, and need to try manufacturing logs together with your agent.
This works nicely as a result of the necessary context that ought to be saved throughout threads is saved in AGENTS.md, as I mentioned in an earlier part.
Conclusion
On this article, I’ve lined 4 particular methods I make the most of to optimize the context of my coding brokers. Using these methods makes me a considerably extra environment friendly engineer, as a result of my coding brokers can work rather more effectively. I like to recommend making an attempt out these methods for your self to search out out in the event that they work nicely for you. Moreover, I like to recommend experimenting with new methods and approaches your self, which might make you more practical. Everytime you discover your coding brokers are unable to do one thing, you need to instantly begin ideating and fascinated about how one can make them in a position to carry out such duties.
👉 My Free Assets
🚀 10x Your Engineering with LLMs (Free 3-Day Email Course)
📚 Get my free Vision Language Models ebook
💻 My webinar on Vision Language Models
👉 Discover me on socials:
🧑💻 Get in touch
✍️ Medium
