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Melissa Cheng and others added 7 commits February 11, 2026 11:50
Install @sentry/nextjs package and configure Sentry monitoring for client-side, server-side, and edge runtime. This includes error tracking, performance monitoring, and session replay capabilities.

Changes:
- Add Sentry Next.js SDK package
- Create client, server, and edge configuration files
- Add instrumentation hook for server-side monitoring
- Update Next.js config with Sentry webpack plugin
- Add environment template files for Sentry credentials

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
Created a specialized AI agent for competitive intelligence and market
research focused on Sentry's position in the monitoring space.

Features:
- API route with streaming SSE responses
- Comprehensive system prompt covering key competitors (Datadog, New Relic,
  Rollbar, Bugsnag, AppDynamics, Dynatrace, etc.)
- React component with suggested prompts for quick research
- Real-time tool usage indicators (WebSearch, WebFetch, etc.)
- Markdown rendering with syntax highlighting for technical comparisons
- Integrated into Agents folder on SentryOS desktop

The agent can:
- Compare features, pricing, and capabilities across competitors
- Research recent reviews and customer feedback
- Analyze market positioning and differentiators
- Provide competitive intelligence for sales/product teams
- Search web for current information about competitors

Agent is accessible from the Agents folder on the SentryOS desktop.

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
- Create TranscriptAnalyzer component with Claude AI integration
- Add /api/analyze-transcript endpoint using Claude Agent SDK
- Replace desktop environment with centered, responsive layout
- Update color scheme from purple to sage green throughout
- Make UI responsive across mobile, tablet, and desktop viewports
- Remove desktop icons, keeping only Transcript Analyzer

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
- Change background theme from sage green to hunter green
- Update textarea to white background with dark green placeholder
- Replace FileText icon with talking emoji (💬)
- Add dropdown for Gong team members and their calls
- Add dropdown for upcoming tech conferences (8 major events)
- Update branding to "Created by Le Haq"
- Improve responsive layout and styling

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
Update UI with hunter green theme and add filtering dropdowns
- Add Google Fonts import for Roboto (300, 400, 500, 700 weights)
- Update body font-family to use Roboto with fallbacks
- Fix CSS import order to resolve compilation error

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
throw new Error('No response body')
}

const decoder = new TextDecoder()
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Bug: TextDecoder is used on a streaming response without the { stream: true } option, which can corrupt multi-byte characters if they are split across data chunks.
Severity: MEDIUM

Suggested Fix

When decoding chunks from a streaming response, pass the { stream: true } option to the decode method. This allows the decoder to buffer incomplete multi-byte sequences until the next chunk arrives. The fix is to change decoder.decode(value) to decoder.decode(value, { stream: true }).

Prompt for AI Agent
Review the code at the location below. A potential bug has been identified by an AI
agent.
Verify if this is a real issue. If it is, propose a fix; if not, explain why it's not
valid.

Location: src/components/desktop/apps/TranscriptAnalyzer.tsx#L103

Potential issue: The code initializes `TextDecoder` without the `{ stream: true }`
option when processing streaming API responses. When a multi-byte UTF-8 character, such
as an emoji or non-ASCII character, is split across two or more data chunks in the
stream, the decoder will fail to interpret it correctly. This results in silent data
corruption, displaying garbled characters to the user instead of the intended content.
This issue affects streaming logic in `TranscriptAnalyzer.tsx`,
`CompetitiveResearch.tsx`, and `Chat.tsx`.

Did we get this right? 👍 / 👎 to inform future reviews.

const { done, value } = await reader.read()
if (done) break

const chunk = decoder.decode(value)
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Bug: TextDecoder.decode(value) is used without the { stream: true } option, which can corrupt multibyte characters like emojis if they are split across streamed response chunks.
Severity: HIGH

Suggested Fix

When decoding streamed data, call decoder.decode(value, { stream: true }) for all intermediate chunks. This ensures that incomplete multibyte characters at the end of a chunk are correctly buffered and handled with the subsequent chunk. The final chunk can be decoded without the stream option.

Prompt for AI Agent
Review the code at the location below. A potential bug has been identified by an AI
agent.
Verify if this is a real issue. If it is, propose a fix; if not, explain why it's not
valid.

Location: src/components/desktop/apps/TranscriptAnalyzer.tsx#L110

Potential issue: The code uses `TextDecoder.decode(value)` to process streamed
Server-Sent Events (SSE) without the `{ stream: true }` option. When a multibyte UTF-8
character, such as an emoji or non-ASCII text, is split across network chunks, this will
cause it to be decoded incorrectly. The incomplete character sequence will be replaced
with a replacement character (), leading to corrupted text being displayed in the user
interface. This is a known issue with streaming data, as documented in a similar fix in
Next.js PR #35724.

Did we get this right? 👍 / 👎 to inform future reviews.

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2 participants