
Over a five-month period, contributed to TabbyML/pochi by building and refining features across browser automation, planning workflows, and developer tooling. Focused on integrating AI-driven agents, enhancing browser session management, and improving UI/UX through React and TypeScript. Delivered robust browser recording with dynamic codec detection, automated Chrome integration via the Chrome DevTools Protocol, and streamlined planner workflows supporting collaborative review and localization. Refactored core modules for maintainability, introduced internationalization, and optimized performance with throttled streaming updates. Addressed reliability through improved CORS proxy handling and dependency management, while supporting onboarding with auto-generated documentation and walkthroughs, ensuring a maintainable and scalable codebase.
June 2026 monthly summary for TabbyML/pochi focusing on UI/UX improvements, performance optimizations, and infrastructure enhancements that delivered measurable business value in user experience, reliability, and maintainability.
June 2026 monthly summary for TabbyML/pochi focusing on UI/UX improvements, performance optimizations, and infrastructure enhancements that delivered measurable business value in user experience, reliability, and maintainability.
May 2026 monthly highlights for TabbyML/pochi focused on reliability, performance, and UX improvements across browser recording, local Chrome automation via CDP, and browser agent tooling. Delivered dynamic browser recording codec detection with 720px output and letterboxing for clearer videos; enabled auto-connect to local Chrome through CDP with profile/login state reuse and new agent tooling; overhauled the browser agent UI/settings with unified configuration, translations, and simplified recording controls; hardened command validation and fetcher robustness to reduce operational risk; and implemented refactors to improve maintainability and cross-model proxy handling.
May 2026 monthly highlights for TabbyML/pochi focused on reliability, performance, and UX improvements across browser recording, local Chrome automation via CDP, and browser agent tooling. Delivered dynamic browser recording codec detection with 720px output and letterboxing for clearer videos; enabled auto-connect to local Chrome through CDP with profile/login state reuse and new agent tooling; overhauled the browser agent UI/settings with unified configuration, translations, and simplified recording controls; hardened command validation and fetcher robustness to reduce operational risk; and implemented refactors to improve maintainability and cross-model proxy handling.
Concise monthly summary for 2026-04 focused on business value and technical achievements for TabbyML/pochi. Highlights include delivering a guided UX for configuring PoChI, improving relevance of LLM context, and stabilizing dependencies with modern schema tooling.
Concise monthly summary for 2026-04 focused on business value and technical achievements for TabbyML/pochi. Highlights include delivering a guided UX for configuring PoChI, improving relevance of LLM context, and stabilizing dependencies with modern schema tooling.
February 2026 — TabbyML/pochi monthly summary focused on delivering browser automation enhancements, robust task tooling, and improved developer experience. Key outcomes include: (1) CORS proxy enhancements with WebSocket proxy support and proxy-url routing to enable routing of browser stream URLs, recording capability, and CLI/browser agent integration with improved session lifecycle and cleanup; (2) VSCode web UI improvements with browser session recording (MP4), playback enhancements, CSP adjustments, and task integration; (3) a new FilesProvider to manage and share task artifacts (videos, plans) within the application; (4) a Walkthrough agent to auto-generate code documentation and onboarding walkthroughs with support for writing to /walkthrough.md; (5) Planner agent path restriction enforcement to a single allowed path (pochi://-/plan.md) with tests and updated argument propagation. These changes were accompanied by refactors to unify task tool views, improve browser UI performance, and strengthen browser session lifecycle management across CLI, VSCode web UI, and common packages.
February 2026 — TabbyML/pochi monthly summary focused on delivering browser automation enhancements, robust task tooling, and improved developer experience. Key outcomes include: (1) CORS proxy enhancements with WebSocket proxy support and proxy-url routing to enable routing of browser stream URLs, recording capability, and CLI/browser agent integration with improved session lifecycle and cleanup; (2) VSCode web UI improvements with browser session recording (MP4), playback enhancements, CSP adjustments, and task integration; (3) a new FilesProvider to manage and share task artifacts (videos, plans) within the application; (4) a Walkthrough agent to auto-generate code documentation and onboarding walkthroughs with support for writing to /walkthrough.md; (5) Planner agent path restriction enforcement to a single allowed path (pochi://-/plan.md) with tests and updated argument propagation. These changes were accompanied by refactors to unify task tool views, improve browser UI performance, and strengthen browser session lifecycle management across CLI, VSCode web UI, and common packages.
Month: 2026-01 — This period delivered a revamped Planner workflow and automation capabilities, with a focus on a more streamlined planning experience, robust collaboration through plan-level comments, improved review cycles, and resilient web/UI reliability. The work emphasizes business value by shortening planning and approval cycles, reducing manual friction, and enabling automation across planner and browser agents while stabilizing core UI widgets.
Month: 2026-01 — This period delivered a revamped Planner workflow and automation capabilities, with a focus on a more streamlined planning experience, robust collaboration through plan-level comments, improved review cycles, and resilient web/UI reliability. The work emphasizes business value by shortening planning and approval cycles, reducing manual friction, and enabling automation across planner and browser agents while stabilizing core UI widgets.

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