AI LLM for Coding: Difference between revisions
Appearance
mNo edit summary |
|||
| Line 89: | Line 89: | ||
In prompt write: | In prompt write: | ||
use context7. do xxx | use context7. do xxx | ||
===RTK - Rust Token Killer=== | |||
https://www.rtk-ai.app | |||
Revision as of 14:39, 10 June 2026
Opencode
Website: [1]
brew install anomalyco/tap/opencode # add context7 MCP npx ctx7 setup --opencode # initialize Opencode and create/update/improve/compress AGENTS.md file /init # update brew update brew upgrade anomalyco/tap/opencode
For saving of tokens, add Caveman speech to AGENTS.md
Mistral Devstral
Obtain API key from [2]
uv tool install mistral-vibe # run via vibe
Claude
Web
Website: [3]
- Pros: Daily reset free quota
- Cons: Need to manually upload single files
Console
Claude Console via API and VISA Pre-Paid: [4]
- Pros: Fully integrated in codebase
- Cons: Costs money (e.g., 5€ are easily spent)
npm install -g @anthropic-ai/claude-code cd myProject claude
Google Gemini
- Pros: Free to use with Google account
Create your API key at [5]
Install
npm install -g @google/gemini-cli@latest gemini # or just run npx https://github.com/google-gemini/gemini-cli
Usage
cd /tmp export GEMINI_API_KEY="xxx" git clone https://github.com/entorb/meeting-meter cd myProject gemini
To switch model from pro to flash:
export GEMINI_MODEL="gemini-2.5-flash"
Secret alternative: .env file
GEMINI_API_KEY=xxx
Google Antigravity
Website: [6]
Tips
- E2E tests (e.g. Cypress) are very important
- Use tools for code formatting, linting, type-hints
- Configure these tools to produce minimum output to reduce token consumption. e.g. for
- Prettier: --log-level silent
- Cypress: cypress run --e2e --quiet
- For Refactoring/renaming: better do it manually, via VSCode, that is a lot faster
Cavemen style
Repo: [7]
npx skills add JuliusBrussee/caveman -a github-copilot
It has an option to install to local home dir instead of to project repo.
According to [8] It can be replaced by 6 hard coded lines in AGENTS.md:
Respond like smart caveman. Cut all filler, keep technical substance. - Drop articles (a, an, the), filler (just, really, basically, actually). - Drop pleasantries (sure, certainly, happy to). - No hedging. Fragments fine. Short synonyms. - Technical terms stay exact. Code blocks unchanged. - Pattern: [thing] [action] [reason]. [next step].
Context7
[9] offers an MCP server of latest spec to many languages, enabling the LLM to support latest versions and best practice.
npx ctx7 setup
In prompt write:
use context7. do xxx