Annotate docs with engineering meaning
Mark APIs, edge cases, gotchas, decisions, and examples across docs, specs, RFCs, and implementation guides.
For builders
Turn technical reading into AI-ready engineering context
Highlyt helps developers annotate docs, specs, RFCs, API references, and architecture notes with meaning. Link decisions, trade-offs, snippets, and open questions, then feed clean context into Claude, ChatGPT, Cursor, or your MCP workflow.
Engineering context pack
Highlight meanings
AI-ready
AmberImportant API behavior
SageWorking pattern
SkyOpen question
BrownTrade-off or decision
Connected context
Source passageLinked noteAI export
How developers use Highlyt
Connect decisions to source material
Link an architectural decision to the docs, bug report, or design note that informed it. Future you gets the reasoning trail.
Send structured context to AI tools
Use MCP or export to give Claude and ChatGPT the exact technical context behind your question or implementation plan.
Workflow pressure
Developer context is spread across too many surfaces
Docs are read once, then forgotten
Important edge cases and API constraints vanish after the implementation ships.
Specs lose their reasoning
The decision survives in code, but the trade-off and source material become hard to reconstruct.
AI prompts lack grounding
Asking for help without source context leads to generic answers or incorrect assumptions.
Technical notes do not connect
RFCs, tickets, docs, PR notes, and research all describe the system from different angles.
Semantic color system
API behavior
Edge cases
Trade-offs
Patterns
Open questions
Implementation notes
Repeatable system
A context layer for engineering work
Build a technical reading system that remembers what each passage means, where it came from, and how it connects to implementation decisions.
Practical workflows
Top ways developers use Highlyt
- 1Highlight API docs before implementing a feature
- 2Collect edge cases from framework documentation
- 3Save architecture trade-offs from RFCs
- 4Link bugs to the docs that explain root cause
- 5Prepare source-backed AI prompts for Cursor or Claude
- 6Create onboarding context packs for teammates
- 7Export selected highlights for PR descriptions
- 8Track unanswered technical questions while researching
- 9Build a searchable library of reusable patterns
- 10Connect product specs to implementation details
Built for precise technical context
Works with your AI workflow
Use MCP or structured exports to move selected source context into Claude, ChatGPT, and coding assistants.
Search across every source
Find an API behavior, snippet, or edge case across PDFs, EPUBs, and saved web clips.
Explain decisions later
Keep source passages, notes, and linked highlights close to the engineering decision they shaped.
FAQ
Frequently asked questions
Can developers use Highlyt with Claude or ChatGPT?+
Yes. Highlyt includes structured export and MCP support, so your AI assistant can work from selected highlights, notes, document metadata, and linked context.
What technical sources can I annotate?+
You can annotate PDFs, DRM-free EPUBs, and web pages captured through the Chrome extension. That covers specs, docs, RFCs, papers, implementation guides, and long-form technical articles.
How is this different from bookmarking docs?+
Bookmarks save locations. Highlyt saves the exact passage, its meaning, your note, and its relationship to other sources, then makes that context searchable and exportable.
Give your AI tools the context you already read
Annotate the docs, specs, and decisions behind your next build. Export the exact context when it is time to implement.
Knowledge graph that grows with youClaude and ChatGPT read your highlightsEvery color carries your reasoning