Everyday AI Tools

CLI Tools: GitHub Copilot CLI, Claude Code & Open Code

IDE: GitHub Copilot Plugin

Caveman

Reduces token usage by eliminating clutter. It doesn't affect thinking/reasoning.

Alternatives: Ponytail

These tools will help in saving more than 30% of our time to read model output and money(tokens).

Claude-mem

Claude-mem preserves context across sessions by automatically capturing tool usage observations, generating semantic summaries, and making them available to future sessions. This enables Claude to maintain continuity of knowledge about projects even after sessions end or reconnect.

This will improve developer productivity as well.

Alternatives: AgentMemory (backed by Linux Foundation)

CodeGraph

We work with multiple code bases on a daily basis and claude-code spawns Explore agents that scan files with grep, glob and read. They consume tokens on every tool call.

CodeGraph provides a pre-indexed knowledge graph to those agents, which reduces 50% tokens.

Alternatives: Graphify

rtk

CLI proxy that reduces LLM token consumption by ~75% on common dev commands like ls, cat, git, etc.

Similar tool: Headroom

Misc

andrej-karpathy-skills

ccstatusline

Custom instructions for agents in plain markdown files