AI LLM for Coding

Opencode

https://opencode.ai

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 tokes, add Caveman speech to AGENTS.md

Mistral Devstral

Obtain API key from [1]

uv tool install mistral-vibe
# run via
vibe

Claude

Web

https://claude.ai
pro: Daily reset free quota
cons: need to manually upload single files

Console

Claude Console via API and VISA Pre-Paid: https://console.anthropic.com
pro: fully integrated in code base
cons: costs money, 5€ are easily spend

npm install -g @anthropic-ai/claude-code
cd myProject
claude

Google Gemini

pros: free to use with google account create your API key at https://aistudio.google.com/app/api-keys

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

https://antigravity.google/download

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

https://github.com/JuliusBrussee/caveman

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 https://medium.com/@KubaGuzik/i-benchmarked-the-viral-caveman-prompt-to-save-llm-tokens-then-my-6-line-version-beat-it-d8e565f95e15

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

https://context7.com 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