Explore technical deep dives, launch updates, and community coverage across LinkedIn, CoderLegion, DEV Community, and Hashnode — ordered by release version.
Product milestones, launch notes, and build-in-public journey on LinkedIn
TokenCap 2.7.0 is now live, closing the loop between AI coding sessions and your permanent codebase with graph-grounded Session Capture, staged inbound memory, 0-100 build health diagnostics, and zero network egress.
The v2.0.0 release story, the 2,000-download v1.9.0 milestone, and the early TokenCap Companion research direction.
Stop teaching every AI agent your codebase from scratch. Query repository intelligence live over local stdio MCP with 11 tool endpoints, saving up to 92% of context token budgets.
Reflections and journey on building TokenCap—an open-source, local-first context layer that makes project intelligence self-discoverable for AI coding agents.
Launch announcement showcasing the new Obsidian-style project intelligence graph and visual code exploration capabilities.
Introduction to TokenCap and the vision behind context engineering for modern AI-assisted development.
Featured developer articles and editorial coverage published on CoderLegion
TokenCap v2.7.0 closes the conversation loop with graph-grounded Session Capture v1, staged review memory, and explainable 0–100 repository build health scoring.
TokenCap v2.0.0 combines seven-language parsing, symbol-level impact analysis, frontend intelligence, scalable workspace context, and local-first privacy.
Read the CoderLegion featured article covering TokenCap v1.6.0 real-time savings reporting, multi-host pointers, and verified benchmarks.
Architecture deep dives, context engineering essays on DEV Community & official Hashnode blog
Introducing the Token & Dollar Savings Engine, 12.2× average token reduction (94.3% cost savings), non-overwriting multi-host pointers for 7 AI hosts, and CI-enforced zero egress.
How TokenCap v1.5 eliminates manual setup and cold start overhead for Local Model Context Protocol (MCP), delivering live repository watching, auto-initialization, and sub-2ms query responses.
A deep dive into how TokenCap builds a visual knowledge graph for JavaScript projects, helping developers understand architecture, dependencies, and relationships.
Why more context is not always better. Learn how intelligent retrieval and context engineering can dramatically improve AI-assisted development.
Official long-form articles, development updates, roadmap discussions, and future architectural plans for TokenCap.