Prism Reviewer – Multi-agent AI code reviewer built with LangGraph and LiteLLM

Vyoman Labs released Prism Reviewer, a multi-agent AI code review system built with LangGraph and LiteLLM that splits git diffs into parallel security, design, and code-quality analyses. The tool supports Python, Java, TypeScript, JavaScript, C, C++, Go, and Rust via Tree-Sitter, scans dependencies, and uses a map-reduce graph with a verifier to prevent hallucinations and duplicates. It is available as a GitHub Action and CLI, with a live demo on savourly-recipes PR #35.

Prism Reviewer AI Actions About vyoman-labs /vyoman-labs Tags 2 Developed by Vyoman Labs Prism Reviewer is an agentic, AI-driven multi-agent code review system developed by Vyoman Labs and orchestrated via LangGraph https://github.com/langchain-ai/langgraph and LiteLLM https://github.com/BerriAI/litellm . It acts as an autonomous gatekeeper for pull requests by performing targeted static analysis, dependency scanning, AST-based symbol inspection, and parallel LLM-guided code evaluation. Add this minimal workflow snippet to .github/workflows/prism-reviewer.yml : - uses: actions/checkout@v4 with: fetch-depth: 0 - uses: vyoman-labs/prism-reviewer@v1 with: llm-api-key: ${{ secrets.LLM API KEY }} 🔍 Live Demo PR : See real Prism Reviewer comments in action on savourly-recipes PR 35 https://github.com/aravinthan-n/savourly-recipes/pull/35 . 🔍 System Description 1-system-description 📐 Architecture and Flow 2-architecture-and-flow 🧠 Key Intricacies and Design Decisions 3-key-intricacies-and-design-decisions 🔧 Installation 4-installation 📦 Packaging and Distribution 5-packaging-and-distribution 💻 CLI Usage 6-cli-usage 🔩 Configuration Guide 7-configuration-guide 🔌 Running Reviews Locally via GitHub PR ID 8-running-reviews-locally-via-github-pr-id 🔗 GitHub App and Integration Setup 9-github-app-and-integration-setup 📝 Notes Limitations and Roadmap 10-notes-limitations-and-roadmap Why Prism Reviewer? 🌈 11-why-prism-reviewer Prism Reviewer splits a single code changes delta git diff into specialized analytical spectrums using an Agent Council. Instead of sending a monolithic prompt to a single LLM, it routes structural, security, and tactical code context in parallel to three distinct agent roles. Combined with the local AST syntax trees, dependency warnings, and usage reference searches, it compiles a rigorous, context-aware code review report categorized by severity. Deterministic Evaluation : Supports zero temperature, fixed seed routing, and structured JSON output to eliminate probabilistic drift across runs. AST CodeLens Map : Leverages Tree-Sitter grammars supporting Python, Java, TypeScript, JavaScript, C, C++, Go, and Rust to extract class, function, and method ranges before scanning. Dependency Warnings : Scans requirements files requirements.txt , package.json , pyproject.toml for dependency configuration anomalies. Map-Reduce Parallelism : Orchestrated through a LangGraph StateGraph , enabling concurrent LLM agent queries. Dual-Safeguard Verification : Fact-checks and filters findings against changed lines and previous review states to ensure zero hallucinations and zero duplication. The review execution lifecycle is modeled as a LangGraph workspace map-reduce graph, organized as follows: php flowchart TD START START -- FetchComments "Fetch Prior PR Comments & Discussion<br/ Filtered: MAJOR & CRITICAL " FetchComments -- BuildContext Build Context Node BuildContext -- |Partition Diff into Regions & Fan Out| Router{ fan out router} Router -- |Region 1..N| Warden 👮 Warden Node<br/ Security & Compliance Router -- |Region 1..N| Architect 📐 Architect Node<br/ Design & Performance Router -- |Region 1..N| Inspector 🔍 Inspector Node<br/ Clean Code & Logic Warden -- Join{Join} Architect -- Join Inspector -- Join Join -- Verifier 🛡️ Verifier Node<br/ Hallucination Guard & Deduplication Verifier -- Aggregator 📊 Aggregator Node<br/ Severity Sorting & Report Render Aggregator -- END END implemented in fetch pull request comments github.py /vyoman-labs/prism-reviewer/blob/main/src/prism reviewer/services/github.py : Queries previous inline review comment threads and general PR discussions via GitHub API, filtering for MAJOR and CRITICAL severity feedback ignoring low-priority ADVISORY comments to pass as conversation history. implemented in build context node nodes.py /vyoman-labs/prism-reviewer/blob/main/src/prism reviewer/agents/nodes.py : Gathers directory profiles, runs AST scans on modified files, scans dependencies, parses usage references, and slices large diffs into logical regions. implemented in fan out router graph.py /vyoman-labs/prism-reviewer/blob/main/src/prism reviewer/agents/graph.py : Routes each region to all three agent nodes concurrently. Agent Council :- 👮 Warden Node : Evaluates vulnerabilities, exposed credentials, loose dependencies, data leaks, and verifies if past security feedback was addressed. - 📐 Architect Node : Audits architectural design, design pattern compliance, performance traps, and checks if past structural feedback was resolved. - 🔍 Inspector Node : Targets clean code compliance, readability, minor logic bugs, and validates fixes for past logic findings. - 👮 implemented in verifier node verifier.py /vyoman-labs/prism-reviewer/blob/main/src/prism reviewer/agents/verifier.py : Performs double-guard filtering hallucination checks & duplicate suppression . implemented in aggregator node aggregator.py /vyoman-labs/prism-reviewer/blob/main/src/prism reviewer/agents/aggregator.py : Sorts findings by severity CRITICAL → MAJOR → ADVISORY and renders the report. Large code deltas exceed single-turn LLM context limits or result in degraded review quality. Prism Reviewer slices large diffs into localized, file-level regions based on line count constraints configured by max region lines . The router fans out separate state objects per region to the agent council. LangGraph automatically gathers and aggregates the findings once all region runs complete. Hallucination Guard : Generative agents may comment on files or line numbers that do not exist or were not modified. The verifier compiles a precise index of modified filename, line number pairs from the raw git diff. Any finding pointing to a line outside this set is dropped. Idempotent Deduplication : Running reviews continuously on every synchronization push can overwhelm developers with duplicate warnings on unchanged code blocks. The system computes a content-hash signature for each finding based on the file path, line number, agent type, and the surrounding diff content. These signatures are stored in signatures.json /vyoman-labs/prism-reviewer/blob/main/.prism reviewer/signatures.json . Subsequent runs skip findings with matching signatures. Standard terminal log writers interleave messages when multiple threads execute in parallel. To preserve clean CLI logs, Prism Reviewer implements NodeLogger defined in nodes.py /vyoman-labs/prism-reviewer/blob/main/src/prism reviewer/agents/nodes.py . This class buffers per-agent log entries in memory and flushes them as a single atomic log block on node completion. Running full PR reviews on every push update can consume significant LLM API tokens. Prism Reviewer implements a Smart Hybrid Review Strategy to cut LLM token costs by up to 90% on PR updates while preserving PR-wide architectural context and avoiding review quality degradation: php flowchart TD A "PR Event Triggered" -- B{"Event Type / Diff Mode"} B -- "Initial PR / Full Sync / Manual" -- C "Full PR Review Mode" B -- "Push Update / Incremental" -- D "Smart Incremental Review Mode" C -- E "Diff: base branch..HEAD" C -- F "Full PR Context + Full LLM Scan" D -- G "Diff: previous commit..HEAD" D -- H "Pass Full PR Touched Files + CodeLens AST Map + Prior PR Comments MAJOR/CRITICAL " D -- I "LLM Evaluates New Diff with PR Context & Prior Discussion" E -- J "Verifier Node & Signatures" G -- J J -- K "Update PR Summary & Inline Comments" Full PR Review Mode : Used on initial PR creation full pull request.opened , milestone reviews, or manual trigger /prism full-review . Compares base branch..HEAD . Smart Incremental Mode : Used on push updates incremental / auto pull request.synchronize . Evaluates only the newly modified commits previous sha..HEAD , while maintaining full PR awareness by injecting the complete PR touched file list, CodeLens AST dependency map, and prior MAJOR / CRITICAL PR comment threads into the prompt context. To install Prism Reviewer in editable mode for local development: pip install -e . To install with development dependencies e.g., for running the test suite : pip install -e ". dev " Prism Reviewer is packaged using standard Python packaging utilities and setuptools configured in pyproject.toml . Before building your distribution packages, ensure you have the python build modules build and twine installed: pip install --upgrade build twine From the root directory of the repository where pyproject.toml is located , execute the build wrapper to compile the source distribution tarball .tar.gz and Python wheel binary .whl : python -m build This command compiles and outputs the distribution assets into the dist/ directory. To verify that the package parses and installs correctly without affecting production indices, publish your packages to the TestPyPI repository: python -m twine upload --repository testpypi dist/ When prompted, log in using the username token and your corresponding TestPyPI API token as the password. Once testing succeeds, release the verified distribution packages directly to the production Python Package Index PyPI : python -m twine upload dist/ Log in using the username token and your production PyPI API token as the password. Whenever a new GitHub release is published, the repository automatically builds and publishes the package to TestPyPI via the publish-testpypi.yml /vyoman-labs/prism-reviewer/blob/main/.github/workflows/publish-testpypi.yml workflow. To enable publication, configure one of the following authentication methods on GitHub: PyPI Trusted Publishing OIDC - Recommended : Configure a Trusted Publisher on test.pypi.org https://test.pypi.org matching your GitHub repository vyoman-labs/prism-reviewer , workflow file publish-testpypi.yml , and environment name testpypi . API Token Fallback : Alternatively, add a GitHub repository secret named TEST PYPI API TOKEN containing your TestPyPI API token. Production releases to PyPI are managed via the dedicated publish-pypi.yml /vyoman-labs/prism-reviewer/blob/main/.github/workflows/publish-pypi.yml workflow. You can toggle PyPI publishing in two convenient ways : - Create a release as usual at https://github.com/vyoman-labs/prism-reviewer/releases/new . - By default, publishing goes to TestPyPI . - To enable PyPI publishing , simply include pypi or publish-pypi anywhere in the Release description / notes field. GitHub's native release page does not support custom HTML form checkboxes, so a visual UI form is available in GitHub Actions : - Navigate to Actions Publish Package to PyPI in your GitHub repository. - Click Run workflow to open the visual checkbox modal:: Checkbox to publish to TestPyPI publish testpypi test.pypi.org Default: . true : Checkbox to publish to PyPI publish pypi pypi.org Default: . false : tag name Optional Release version tag e.g., v1.0.0 .: create release Optional Checkbox toggle to automatically create/publish the GitHub Release for you. To enable automated publication without managing API tokens: - Go to your PyPI account on pypi.org https://pypi.org Account Settings Publishing . - Add a new GitHub publisher with the following details: Owner : vyoman-labs Repository : prism-reviewer Workflow name : publish-pypi.yml Environment name : pypi You can invoke the review agent via the registered CLI executable: prism-review --pr --repo /path/to/your/repo --base main Or execute it as a Python module: python -m prism reviewer.cli --pr --repo /path/to/your/repo --base main | Argument | Type | Description | |---|---|---| --pr | Flag | Runs the core Prism Reviewer agentic process. | --repo | Path | Path to the target repository defaults to the current working directory . | --base | String | Base branch or commit for git comparison defaults to unstaged . | --diff | String | Optional. Prints local git diff. Values: unstaged default , staged , or specific commit. | --structure | Flag | Displays the directory structure of tracked files in JSON format. | --scan-deps | Flag | Scans project manifests requirements.txt , package.json , pyproject.toml . | --search | String | Run regex search query across files. | --methods | Path | Extracts AST symbols classes, functions, methods from the target file. | --context | Path | Optional. Path to custom project context markdown file defaults to .prism reviewer/context.md . | --rules | Path | Optional. Path to custom repository review rules markdown file defaults to .prism reviewer/rules.md . | --diff-mode | String | Optional. Git diff strategy for review: auto default , full , or incremental . | --compare-range | String | Optional. Explicit commit range or base for comparison e.g. SHA1..SHA2 or origin/main . | Prism Reviewer uses a centralized config system driven by src/prism reviewer/prism reviewer.toml /vyoman-labs/prism-reviewer/blob/main/src/prism reviewer/prism reviewer.toml . Placing a prism reviewer.toml in your repository root is optional—if omitted, Prism Reviewer automatically loads built-in package defaults. Numeric parameters are dynamically cast, and environment variable overrides are supported using the ${VAR NAME|-default value} format. You can define environment variables in a .env file see .env.example in your project root or pass them via shell environment variables.| Parameter | Default / Placeholder | Description | |---|---|---| token | ${GITHUB TOKEN} | GitHub Personal Access Token or Installation Token. | summary mode | ${PRISM SUMMARY MODE|-update} | Controls how the PR summary comment is posted on each run. "update" default edits the existing Prism Reviewer summary comment in-place at the top of the PR, preserving prior review reports in collapsible HTML foldouts. "append" posts a new summary comment on every push legacy behaviour . | include previous comments | ${PRISM INCLUDE PREVIOUS COMMENTS|-true} | Enables fetching prior PR review comments & discussions for LLM prompt context. | max previous comments | ${PRISM MAX PREVIOUS COMMENTS|-30} | Maximum number of prior MAJOR & CRITICAL severity comments to include. | | Parameter | Default / Placeholder | Description | |---|---|---| api key | ${LLM PROVIDER API KEY} | API credential key for the LiteLLM backend. | model | ${LLM MODEL} | Target model identifier used for all agents e.g., openai/gpt-4o , anthropic/claude-3-5-sonnet . | | Parameter | Default / Placeholder | Description | |---|---|---| max requests per minute | ${MAX REQUESTS PER MINUTE|-60} | API rate throttle limit per minute. | max concurrent requests | ${MAX CONCURRENT REQUESTS|-10} | Max parallel connections allowed. | retries | ${RETRIES|-4} | Number of backoff retries on connection failures 5 total attempts . | backoff seconds | ${BACKOFF SECONDS|-15} | Exponential retry multiplier factor. | request timeout | ${LLM REQUEST TIMEOUT|-120} | Maximum seconds to wait for an LLM completion request before timing out. | | Parameter | Default / Placeholder | Description | |---|---|---| mode | ${AGENTS MODE|-parallel} | Executes agent council in parallel or sequential mode. | max region lines | ${MAX REGION LINES|-500} | Maximum lines per git diff slice region. | max readme chars | ${MAX README CHARS|-10000} | Maximum characters of root README.md included in review context. | | Agent | Default / Placeholder | Description | |---|---|---| warden | ${WARDEN REASONING EFFORT|-high} | AppSec audits benefit from deep cognitive reasoning. | architect | ${ARCHITECT REASONING EFFORT|-medium} | Evaluates structural coupling and performance traps. | inspector | ${INSPECTOR REASONING EFFORT|-medium} | Evaluates local variable smells and code readabilities. | verifier | ${VERIFIER REASONING EFFORT|-low} | Mechanical validation requires minimal reasoning. | | Agent | Default / Placeholder | Description | |---|---|---| warden | ${WARDEN MODEL OVERRIDE} | Model override for security agent. | architect | ${ARCHITECT MODEL OVERRIDE} | Model override for architectural agent. | inspector | ${INSPECTOR MODEL OVERRIDE} | Model override for inspector agent. | verifier | ${VERIFIER MODEL OVERRIDE} | Model override for verifier agent. | | Parameter | Default / Placeholder | Description | |---|---|---| max search files | ${MAX SEARCH FILES|-25} | Maximum number of touched files analyzed in cross-reference search. | | Parameter | Default / Placeholder | Description | |---|---|---| dirs | ${TEST FILE DIRS|-test,tests, tests , specs ,spec,specs,testing} | Comma-separated directory markers used to identify test files. | prefixes | ${TEST FILE PREFIXES|-test ,spec ,test-,spec-} | Comma-separated filename prefixes used to identify test files. | suffixes | ${TEST FILE SUFFIXES|- test,-test,.test, tests,...} | Comma-separated filename suffixes used to identify test files. | exact | ${TEST FILE EXACT|-conftest.py,test.py,tests.py,spec.py,...} | Comma-separated exact filenames used to identify test files. | | Parameter | Default / Placeholder | Description | |---|---|---| enabled | ${PRISM MONITORING ENABLED|-true} | Enables or disables LLM token usage tracking. | observers | ${PRISM MONITORING OBSERVERS|-console,jsonl} | Comma-separated list of enabled native in-app observers console , jsonl . | jsonl file path | ${PRISM MONITORING JSONL PATH|-.prism reviewer/token usage.jsonl} | Destination path for structured JSONL token usage audit logs. | litellm callbacks | ${PRISM MONITORING LITELLM CALLBACKS|-} | Comma-separated LiteLLM callback integrations. Supports for LLM tracing & cost analytics, langfuse for OpenTelemetry APM tracing, otel prometheus , etc. | Langfuse Recommended for LLM Tracing : Set PRISM MONITORING LITELLM CALLBACKS="langfuse" and configure standard Langfuse credentials LANGFUSE PUBLIC KEY , LANGFUSE SECRET KEY , LANGFUSE HOST . Automatically tracks generation traces, prompt/completion text, token breakdowns, and model costs. OpenTelemetry Enterprise APM : Set PRISM MONITORING LITELLM CALLBACKS="otel" or PRISM MONITORING LITELLM CALLBACKS="langfuse,otel" to run both concurrently to emit standard OpenTelemetry spans and metrics to your OTel Collector or APM backend Datadog, Honeycomb, Grafana Tempo . | Parameter | Default / Placeholder | Description | |---|---|---| diff mode | ${PRISM DIFF MODE|-auto} | Controls the PR git diff comparison strategy. "auto" default uses incremental diff previous commit..HEAD on push updates if previous state exists, and full diff otherwise. "full" forces complete diff review base..HEAD . "incremental" forces incremental diff review. | Prism Reviewer allows repository maintainers to significantly improve review quality, domain accuracy, and signal-to-noise ratio by supplying optional Project Context context.md and Custom Review Rules rules.md . When reviewing pull requests, the multi-agent council Warden, Architect, Inspector loads these files into prompt memory to evaluate code changes against your team's exact architectural standards, domain concepts, and coding policies. Place these markdown files inside a .prism reviewer/ directory at the root of your target repository: my-repository/ ├── .prism reviewer/ │ ├── context.md Project architecture, tech stack & domain background │ └── rules.md Custom coding rules, security requirements & constraints ├── prism reviewer.toml Optional Custom configuration overrides └── ... Tip Both .prism reviewer/context.md and .prism reviewer/rules.md are automatically auto-detected by the CLI prism-review and local execution script run local.py . You can also specify custom file locations using the --context and --rules flags. Providing high-level background information helps agents understand design intentions, domain models, and system boundaries rather than flagging intentional design decisions. Recommended Contents: System Overview & Architecture : Core purpose, key subsystems, database layers, and external service dependencies. Tech Stack & Libraries : Framework versions, state management tools, ORMs, and async models. Design Conventions : Preferred design patterns e.g., repository pattern, dependency injection , immutability rules, or concurrency patterns. Example context.md: Project Context: Payment Processing Service Architecture - Microservice built with FastAPI, PostgreSQL, and Celery worker queues. - Uses SQLAlchemy 2.0 with async sessions. Key Invariants - All monetary values must be represented using integer cents or Decimal to avoid floating-point errors. - Payment gateway API calls must be wrapped in idempotent retry blocks. Repository-specific rules allow you to enforce team coding standards, security boundaries, and strict review constraints. Recommended Contents: Security Constraints : Forbidden functions e.g., eval , un-sanitized SQL formatting , credential leakage checks, CORS policies. Performance & Scaling Rules : N+1 query prevention, missing database index warnings, memory leak checks. Code Style & Maintainability : Maximum function length guidelines, docstring requirements, error handling requirements e.g., no bare except: clauses . Example rules.md: Repository Review Rules Security & Reliability - NEVER execute raw SQL queries constructed via string formatting or f-strings. Use parameterized queries. - Ensure all public API endpoints handle exceptions explicitly and return structured JSON error models. Code Quality & Performance - Do not make database calls inside loops N+1 query anti-pattern . Use batch loading or eager joins. - All newly added functions must include static type annotations for arguments and return values. To execute pull request reviews locally using a GitHub Pull Request ID, Prism Reviewer provides a pre-configured utility script: run local.py /vyoman-labs/prism-reviewer/blob/main/scripts/run local/run local.py . This script fetches the diff, title, and description for a remote PR, executes the Agent Council review locally, and writes the output report. python scripts/run local/run local.py --repo "owner/repository" --pr 42 --token "YOUR GITHUB TOKEN" --repo : The full name of the repository on GitHub e.g., octocat/Hello-World . --pr : The numeric ID of the Pull Request. --token : Your GitHub Personal Access Token PAT . If not provided, it falls back to the GITHUB TOKEN environment variable. --output : Filepath to write the Markdown report defaults to prism review report.md . Prism Reviewer can be integrated into any GitHub repository using our official GitHub Action or as a GitHub App integration. External repositories can run automated AI code reviews on Pull Requests in 3 simple steps using our GitHub Action vyoman-labs/prism-reviewer@v1 . In your repository, go to Settings Secrets and variables Actions New repository secret and add: : Your API key for Gemini, OpenRouter, OpenAI, Anthropic, or any LiteLLM-supported provider. LLM PROVIDER API KEY Create a file named .github/workflows/prism-reviewer.yml in your repository or copy docs/examples/prism-reviewer-external.yml /vyoman-labs/prism-reviewer/blob/main/docs/examples/prism-reviewer-external.yml : name: Prism Reviewer AI Code Review on: pull request: types: opened, synchronize, reopened permissions: contents: read pull-requests: write jobs: review: name: Run AI Code Review runs-on: ubuntu-latest steps: - name: Checkout Codebase uses: actions/checkout@v4 with: fetch-depth: 0 Fetch all history for git diff comparison - name: Run Prism Reviewer AI uses: vyoman-labs/prism-reviewer@v1 with: llm-api-key: ${{ secrets.LLM PROVIDER API KEY }} Open or update any Pull Request. Prism Reviewer will automatically analyze your code changes and post a structured review report directly to the PR comments | Input | Required | Default | Description | |---|---|---|---| llm-api-key | Yes | — | API key for LiteLLM provider Gemini, OpenRouter, OpenAI, etc. . | llm-model-name | No | gemini/gemini-3.1-flash-lite | Model identifier to execute analysis. | github-token | No | ${{ github.token }} | Token used to post review comments. | base-ref | No | ${{ github.base ref }} | Base branch for git diff comparison. | agents-mode | No | parallel | Agent execution mode parallel or sequential . | enable-monitoring | No | auto | Control telemetry dependency installation auto , true , false . | By default, comments are posted under the standard github-actions bot identity with a prominent report header inside the comment body. 🌌 Vyoman Labs | 🌈 Prism Reviewer AI If you prefer comments to be posted under a dedicated GitHub App Bot Name e.g. Prism Reviewer AI bot : - name: Generate App Token id: app-token uses: actions/create-github-app-token@v1 with: app-id: ${{ secrets.PRISM REVIEWER APP ID }} private-key: ${{ secrets.PRISM REVIEWER PRIVATE KEY }} - name: Run Prism Reviewer AI uses: vyoman-labs/prism-reviewer@v1 with: github-token: ${{ steps.app-token.outputs.token }} llm-api-key: ${{ secrets.LLM PROVIDER API KEY }} To configure a dedicated GitHub App registration, webhooks, or LLM observability monitoring for Prism Reviewer, see the detailed documentation: Syntax Boundaries : AST CodeLens mappings support Python .py , Java .java , TypeScript .ts , .tsx , JavaScript .js , .jsx , C .c , C++ .cpp , .cc , .cxx , .h , .hpp , Go .go , and Rust .rs via tree-sitter. Other file types fall back to plain-text indexing. Git Dependency : The core analysis tool relies on local system execution of the git executable specifically git diff and git ls-files . LLM Rate Limits : Parallel map-reduce execution can exceed rate limits on standard API tiers. Throttling is managed via LiteLLM configurations in prism reviewer.toml /vyoman-labs/prism-reviewer/blob/main/prism reviewer.toml . - Expand AST grammar coverage to additional languages as needed. - Integrate directly with GitHub Check Runs API to highlight warnings inline inside the GitHub "Files changed" diff viewer. - Create an interactive CLI review wizard allowing developer queries directly in the terminal. - Provide a Dockerized workspace image for zero-dependency CI installations. In optics, a prism separates white light into a colorful spectrum of wavelengths. Prism Reviewer applies the same optical concept to code review: Splitting the Spectrum : It takes a single unified Pull Request delta and refracts it into three distinct analytical bands: Warden Security , Architect Structure & Performance , and Inspector Clean Code & Logic . Filtering the Wavelengths : The verification layer filters these individual bands, blocking noise hallucinations and redundant repeats deduplication . Recomposing the Light : The aggregator recombines these analyzed results back into a single clear, actionable markdown review report. By decomposing and refocusing the code review process, Prism Reviewer ensures that every angle of your codebase receives the specialized focus it deserves. Prism Reviewer AI is not certified by GitHub. It is provided by a third-party and is governed by separate terms of service, privacy policy, and support documentation.