mendableai/firecrawl
Feb 2026 – Mar 2026
2 Months active
Languages Used
Markdown
Technical Skills
AIAPI designAPI integrationdata extractiondocumentationtechnical writing
rhys-firecrawl
PROFILE
Rhys-firecrawl
Worked on the mendableai/firecrawl repository to implement agent-based autonomous data gathering, replacing the previous Extract endpoint and establishing a scalable agent-first workflow. Focused on AI, API design, and data extraction, the approach emphasized seamless integration and improved onboarding through reorganized documentation and enhanced performance visibility. Updated the Quick Start guide with clear instructions for AI agent integration, using Markdown for technical writing and documentation. In the following month, further refined user interaction documentation to clarify agent capabilities and natural language prompting, supporting faster onboarding and aligning documentation with current features. No bugs were reported or fixed, maintaining repository stability throughout.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
2
Lines of code
1,141
Activity Months2
Your Network
66 peopleSame Organization
@sideguide.dev2
Shared Repositories
64
NBR0KNMember
Abimael MartellMember
Ademílson TonatoMember
Ademílson TonatoMember
ahnafatefMember
Aparup GangulyMember
ArkitMember
Arvid AnderssonMember
BexTuychievMember
Work History
March 2026
1 Commits • 1 Features
Mar 1, 2026March 2026 monthly summary for mendableai/firecrawl: Focused on improving user understanding and adoption through documentation updates. Delivered Firecrawl User Interaction Documentation Update that clarifies interaction capabilities and emphasizes natural language prompting for automated actions. No major bugs fixed this month; changes were documentation-only, maintaining stability and readability. This work supports faster onboarding and better user outcomes, aligning docs with current capabilities.
1 Commits • 1 Features
Mar 1, 2026March 2026 monthly summary for mendableai/firecrawl: Focused on improving user understanding and adoption through documentation updates. Delivered Firecrawl User Interaction Documentation Update that clarifies interaction capabilities and emphasizes natural language prompting for automated actions. No major bugs fixed this month; changes were documentation-only, maintaining stability and readability. This work supports faster onboarding and better user outcomes, aligning docs with current capabilities.
March 2026
February 2026
2 Commits • 1 Features
Feb 1, 2026February 2026 — Implemented Agent-based Autonomous Data Gathering as Firecrawl's primary method, replacing the Extract endpoint. Reorganized documentation to spotlight Agent-first usage, improved onboarding flow, and enhanced performance visibility. Updated Quick Start with AI agent integration instructions and refined content structure (Scrape > Search > Agent > Crawl > Map). No critical bugs reported this month; focused on delivering business value through developer-ready documentation and a scalable agent workflow.
February 2026
2 Commits • 1 Features
Feb 1, 2026February 2026 — Implemented Agent-based Autonomous Data Gathering as Firecrawl's primary method, replacing the Extract endpoint. Reorganized documentation to spotlight Agent-first usage, improved onboarding flow, and enhanced performance visibility. Updated Quick Start with AI agent integration instructions and refined content structure (Scrape > Search > Agent > Crawl > Map). No critical bugs reported this month; focused on delivering business value through developer-ready documentation and a scalable agent workflow.
Activity
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Quality Metrics
Correctness100.0%
Maintainability93.4%
Architecture100.0%
Performance93.4%
AI Usage40.0%
Skills & Technologies
Programming Languages
Markdown
Technical Skills
AIAPI designAPI integrationdata extractiondocumentationtechnical writing
Repositories Contributed To
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