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AmiteK | 1 month ago

On tool-call overhead: in the MCP flow it’s typically 1–2 calls per task (watch_status once, then read_bundle for the relevant slice). In watch mode we also skip snapshot refresh entirely.

Token-wise, the intent isn’t “dump everything”. it’s selective reads of the smallest relevant bundles. If your workflow already achieves what you want with AGENTS.md + LSP querying, that may indeed be more token-efficient for many sessions.

The trade-off LogicStamp is aiming for is different: verifiable, diffable ground-truth artifacts (CI/drift detection/cross-run guarantees). Tokens aren’t the primary optimization axis.

discuss

order

verdverm|1 month ago

I'm not sure the comparison I'm hoping to draw out is coming through

This seems more similar in spirit to AGENTS.md than LSP, so I'll make the comparison there. Today, I require zero tool calls to bring my AGENTS.md into context, so this would require me making more tool calls, each of is a round trip to the LLM with the current context. So if I have a 30k context right now, and you are saying 1-2 calls per task, that is 30-60k extra tokens I need to pay for, for every one of these AGENT.md files that needs to be read / checked to see if in sync.

I use git for the verifiable / diffable ground truth artifacts. I can have my LSP query at different commits, there is no rule it can only access the current state of the code

AmiteK|1 month ago

I think we’re optimizing for different constraints. If your goal is zero extra round trips and you’re happy with AGENTS.md auto-injection + LSP queries, then I agree LogicStamp won’t be a win on token cost for that setup.

The AGENTS.md comparison isn’t “same thing” - it’s a different layer. AGENTS.md encodes human intent/heuristics. LogicStamp generates semantic ground-truth contracts (exports, APIs, routes) from the AST so they can be diffed and validated mechanically (e.g. CI drift detection).

Git + LSP can diff/query source across commits, but that’s still a query workflow. LogicStamp’s goal is a persistent, versioned semantic artifact. If your workflow already covers that, then it may simply not add value - which is totally fine.