Dari-docs
Optimize your docs using parallel coding agents
Details
- External ID
- 48210615
- Source
- HN
- Company
- —
- Product
- Dari-docs
- Website domain
- github.com
- Launched
- May 20, 2026
- Cohort
- —
- Upvotes
- 23
- Upvotes percentile
- 0.7625201938610663
- Tags
- —
- Fetched at
- Sept. 7, 2026, 9:26 p.m.
- Updated at
- Sept. 7, 2026, 9:26 p.m.
Description
It’s well known at this point that documentation needs to be optimized for AI agents - we’re all pointing our Claude Code / Codex / Pi agents at documentation, and expecting the models to figure out how to implement a product.This, however, changes the entire optimization problem when writing documentation. Good documentation now becomes more objective - you are solving the very concrete problem: can a dumb harness running the dumbest model implement this reliably?Humans can typically compensate for inconsistent terminology or scattered context across pages, but for agents, this often will waste time (or even just completely confuse the agent).We’ve been building a small project around this called dari-docs: users can upload their documentation via website or CLI and run agents across different providers to see where they falter. You can upload your documentation, feed a list of tasks, and ask agents with varying intelligence / cost levels to complete those tasks in parallel. When a run is complete, you get back a list feedback markdown files from each agent run and can apply changes based on agent feedback.Managed service: https://optimize.dari.dev/, repo link: https://github.com/mupt-ai/dari-docsThe agents actually try to use the product end-to-end. They search through the docs, follow instructions, run commands, try examples, and attempt to debug failures. Importantly, this is not a static LLM review of the documentation. The agents are actually attempting the integration.You can also enable live verification with test credentials so the agents can actually verify workflows against real APIs: dari-docs check . --live-verify --secret-env DARI_TEST_API_KEY --task "Create a checkout session" If you’re building a CLI, API, MCP server, or SDK and actively maintaining docs for humans or agents, we’d love to work with you and test this on real workflows!
Enrichment
- Theme
- AI agent frameworks and developer tools
- Vertical
- Horizontal
- Function
- Agent / copilot
- Audience
- Developer
- AI stance
- AI-native
- Project type
- Commercial product
- Normalized one-liner
- parallel coding agents for documentation
- Manually corrected
- False
Could you build this?
Yes This is a benchmarking and optimization harness that feeds documentation snippets to LLM coding agents and evaluates task completion. It consists standard LLM API orchestration and prompt/eval workflows that can be vibe-coded.
Discussion
7 comments analyzed.
Competitors mentioned: Mintlify (for documentation sites with LLM access), Existing coding agents (Pi and alternatives), Manual documentation review
Concerns raised: Document uploading raises privacy/security concerns, Unclear advantage over running prompts in existing coding agents, Scaling subagents across model/task matrix on local machines gets messy
Feature requests: Robust bidirectional converter between Markdown and HTML, Support for private documentation (not just publicly available docs), Built-in docs test suite with multiple model comparisons
Competitors
Other products that read as similar to this one — 280 launches clear the similarity bar, closest 8 shown.
Attention rank: #77 of 281 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).
Launched 198 days after the earliest competitor.
- docs-cli · hn · 2026-05-25 · 6 upvotes · similarity 0.51
- Agents, run any coding agent on your subscription not API costs · hn · 2026-05-31 · 6 upvotes · similarity 0.51
- I built a tool that turns any API into a CLI for agents · hn · 2026-03-01 · 6 upvotes · similarity 0.48
- Mini-coder · hn · 2026-03-02 · 6 upvotes · similarity 0.44
- Vespper (YC F24) · hn · 2026-09-28 · 5 upvotes · similarity 0.44
- Keen Code · hn · 2026-08-10 · 6 upvotes · similarity 0.43
- dari.dev - The easiest way to deploy your agents to production · yc · 2026-05-12 · 4 upvotes · similarity 0.43
- Optimize_anything: A Universal API for Optimizing Any Text Parameter · hn · 2026-02-20 · 8 upvotes · similarity 0.42
Other launches for this product
- No other launches for this product.
Same idea, different domain
Nobody's really built a agent / copilot tool for Agriculture yet.