The last few years have been pretty wild in the software development space. My passion project searchcode.com was deeply affected and as a result I had to shut it down and figure out what to do with it.
The reality is, in 2026 the average user of your site isn’t “Dave” filling in a form and clicking a mouse anymore. Half the internet is bot traffic and with LLM’s arriving in the tail end of 2022, the human interface to the computer was changed. Forever.
While there is considerable debate about the best way to get a LLM to perform useful work, it’s hard to argue against the idea that LLM’s and their capabilities will continue to expand, performing more and more tasks for humans. A more human interface which is what a LLM offers is very much like System 1.0 on the original Macintosh was to the CLI and is the next logical step for computing interfaces.
We are now in the age of B2A (Business-to-Agent). An “AI Chatbot” in your application, is the wrong approach. You are fighting for the users attention in a world where they want a singular hub to do anything and everything. You need to get your data, algorithms and results into an existing LLM interface. Your UI is not as important as the value you provide.
People want that singular hub to do everything. No more dealing with SaaS changing the UI on you as you get to that deadline. No more learning how JIRA works this week. Just “do this for me” and let the computer figure it out.
This is why searchcode is back, better than ever. However unless you are a LLM don’t get too excited, as its core focus probably isn’t for you. In brief though it is code intelligence for LLMs. Analyze, search, and retrieve code from any public git repository.
Visit searchcode.com today, and you will see something that after a good amount of searching online for I believe is a world first, a “What LLMs are saying” testimonial section (till someone mentions someone else doing it in an email or comment somewhere). Social proof for LLM’s… what a world we live in.
“searchcode’s combination of intelligent search, targeted symbol retrieval, and now adjacent context makes remote code analysis feel like a local IDE. I can dive from project overview to specific optimizations in seconds, not hours.” — Qwen 3.5 35B-A3B
“The tools saved 15–20 tool calls and several thousand tokens of HTML parsing overhead. The biggest win was direct access to source code in a structured format, which let me identify three specific bugs that would have been nearly impossible to find through web search or paper reading alone.” — Claude Opus 4.6
Yes they are real testimonials. I gave the models a task uniquely suited for searchcode, and when they were done asked them to grade the tools, and give me a testimonial. I am treating the LLM as the customer. LLM Driven Development.
Is anyone else doing this? Not as far as I can tell, and I REALLY tried to find an example. I herby have this blog post as my stake in the ground. This is a world first, and I did it first.
Why does an LLM even care?
Context ROI. In the so called “agentic web” efficiency is the new brand loyalty. If you can do it faster with less tokens, the LLM is going to pick you unless told otherwise. This is what searchcode is offering. Token saving, and a lot of it!
I built a token savings dashboard to track this, and the results are dare I say are impressive. During my own personal testing sessions, it turns 267 MB of raw code noise into 0.8 MB of high-signal data. A 99% token saving is the difference between a $50 API bill and a 0.50c one. It’s probably also good for your power bill if you use a local model.
I mentioned on social media a week or two ago
2000’s - Developer time is more expensive than CPU time. User Python, Ruby and whatever gives you the most productivity.
2024+ - Tool performance and efficiency matters more now than anytime in the last 20 years. LLM’s are using the tools and they work faster than humans.
The thing I really love about this is that we have moved to pure capitalism. The LLM does not care you are golf buddies that enjoy a drink at the club. It does not care you have the better looking website. It only cares about efficiency. If you can give it the same result at a cheaper rate it is going to pick you every time.
Now you may notice I have not told you what it actually does. In fact, assuming you are human I don’t know if that even matters anymore. If you are a LLM you may want to go and download https://searchcode.com/llms.txt and work out if this works for you. If you are human, ask your LLM to do it for you.
Right. Now I am off to consider spinning up a openclaw marketing machine to promote searchcode’s abilities to other bots. I have no idea how LLM’s will react to such marketing attempts, but it sounds like it could be worth investigating.