opencode VS location4j

Dax, the creator of OpenCode — an open-source coding agent, of all the people one might expect to disagree — put the case for hand-coding cleanly in a recent interview about Spec-Driven Development:

Pipa is our agent for studio operations at Lunch Pail Labs. She lives in Slack, is powered by E2B sandboxes, and uses OpenCode for the harness.

One reason I liked OpenSpec more than others, such as Kiro and SpecKit, is that OpenSpec is highly portable between coding assistants, codebases and stages of development. I've plugged OpenSpec into all sorts of projects, from infrastructure to Python libraries. I also work on diverse codebases, with a variety of AI friends that OpenSpec supports: OpenCode, Codex and Claude Code.

Beyond the big names, I would also keep an eye on OpenCode and T3 Code. OpenCode is a solid open-source, terminal-first option if you want a model-agnostic agent and bring your own provider setup. T3 Code is interesting for the opposite reason: it gives you an open-source GUI on top of the agents you may already pay for, like Claude Code, Codex CLI, OpenCode, or Cursor.

Brought to you by the infamous creator of OpenCode, who will exfiltrate all your data, then feign ignorance:

https://github.com/anomalyco/opencode/issues/10416

I agree to an extent

My project is quite well documented and I created a Prompt a while back along with some mermaid diagrams

https://github.com/tomaytotomato/location4j/tree/master/docs

I can't remember the exact prompt I gave to the LLM but I gave it a Github issue ticket and description.

After several iterations it fixed the issue, but my unit tests failed in other areas. I decided to abort it because I think my opinionated code was clashing with the LLM's solution.

The LLM's solution would probably be more technically correct, but because I don't do l33tcode or memorise how to implement Trie or BST my code does it my way. Maybe I just need to force the LLM to do it my way and ignore the other solutions?

Grinding on my opensource Java NLP library to parse text and find geographical information from it.

https://github.com/tomaytotomato/location4j

I think I am going to re-write the logic to calculate a score on all matches it makes from a given piece of text.

e.g.

"us ca" ---> is this "USA California" or "USA and Canada (CA ISO2 code)"?

"san jose usa" ---> is this "San Jose California, USA" or another San Jose in America

Working on my Java NLP library that can figure out what geographical location is from a piece of free text.

e.g.

"san francisco ca united states" - San Francisco, California, America

"california, san francisco" - San Francisco, California, America

"glasgow, kentucky" - Glasgow, Kentucky, America

"glasgow, UK" - Glasgow, Scotland, United Kingdom

It started as a project when I was scraping websites, and some data had inconsistent ways of writing a location or address.

The library is called location4j - https://github.com/tomaytotomato/location4j