Saving tokens with Claude Code.
Tested for a week. Works 100%. The whole thing is genuinely simple: swap Grep-based file search for LSP. Breaking down what that even means
LSP (Language Server Protocol) is the tech your IDE uses for "Go to Definition" and "Find References" — exact answers instead of text search. The problem: Claude Code searches through code via Grep. Finds 20+ matches, then reads 3–5 files essentially at random. Every extra file = 1,500–2,500 tokens of context gone.
LSP returns a precise answer in ~600 tokens instead of ~6,500.
Its really works!
One thing: make sure Claude Code is on the latest version — older ones handle hooks poorly.
About GitHub on Product Hunt
“Stop burning tokens on Grep — let LSP find it in one shot”
GitHub was submitted on Product Hunt and earned 1 upvotes and 1 comments, placing #423 on the daily leaderboard. Hooks that force Claude Code to use LSP instead of Grep for code navigation. Saves ~80% tokens - nesaminua/claude-code-lsp-enforcement-kit
On the analytics side, GitHub competes within Developer Tools and GitHub — topics that collectively have 552.2k followers on Product Hunt. The dashboard above tracks how GitHub performed against the three products that launched closest to it on the same day.
Who hunted GitHub?
GitHub was hunted by DenAleksandrov. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of GitHub including community comment highlights and product details, visit the product overview.
DenAleksandrov