System performance
Multi-source merging
Aggregate up to ten separate directories into a single export without losing the structural cues an LLM needs to understand the code.
v1.0 now available
CombineCodes turns scattered repositories, shared libraries, and internal tools into one structured context package ready for Claude, ChatGPT, Gemini, and any other LLM workflow.
Primary use case
Cross repo contextExport formats
Markdown or textPrivacy posture
Fully localPrivacy first utility
CombineCodes is positioned as an air-gapped developer utility with no cloud processing and no hidden telemetry. That makes it practical for teams with real intellectual property concerns.
Offline processing
Cloud uploads required
System performance
The final Stitch screen leans into dark editorial surfaces, glass panels, and high-signal product messaging. The home page keeps that structure while translating it into reusable Svelte components.
System performance
Aggregate up to ten separate directories into a single export without losing the structural cues an LLM needs to understand the code.
Native engine
The desktop engine is tuned for Apple Silicon so large scans stay responsive even when you are working across monorepos and internal libraries.
Signal control
Respect ignore rules, skip generated artifacts, and reduce context waste before expensive tokens ever hit an LLM window.
Review layer
See token estimates, file counts, and composition risk before exporting so teams can control size, privacy, and output quality.
Privacy model
No cloud processing, no hidden sync, and no background telemetry. Your code stays on your Mac from scan to export.
LLM delivery
Produce markdown or text bundles that slot neatly into modern coding assistants, research prompts, and review workflows.
A simple three-step loop turns a scattered engineering surface area into one reliable LLM context package.
Start with product apps, internal packages, docs, or support repos and stage them together in one combine session.
Inspect counts, exclusions, and output size before export so you can keep the context window focused and predictable.
Ship a single context artifact that preserves paths and organization, ready for debugging, onboarding, and agent workflows.
High volume aggregation
CombineCodes is strongest when engineering teams need consistent exports across product apps, packages, and documentation.
Unified aggregation
File boundaries, relative paths, and source grouping survive the export so downstream models can reason with better structural context.
Private combiner
Preflight metrics help teams catch noisy directories, inflated token budgets, or risky content before it ever becomes prompt input.
Native performance
The macOS-first product story stays front and center, with a UI language that implies speed, control, and local reliability.
Ready for better context
Use the platform pages to explore the aggregation model, compare it against manual workflows, and review the privacy-first operating posture.