Feature/development setup#11
Conversation
- Configured ESLint and Prettier for code quality - Set up Git hooks with Husky - Added commit message validation with commitlint - Fixed TypeScript configuration - Updated Next.js and related dependencies
WalkthroughThis update introduces structured configuration models for AI agents in the backend, refactors agent instantiation to use these models, and adjusts the backend's Docker port mapping. On the frontend, it removes reliance on the HeroUI library for theming and buttons, implements custom theme management, adds commit linting and pre-commit hooks, modularizes article processing utilities, and updates TypeScript, ESLint, Tailwind, and Docker configurations for improved consistency and tooling. Changes
Sequence Diagram(s)sequenceDiagram
participant User
participant AgentOrchestrator
participant AgentConfigurations
participant Agent
User->>AgentOrchestrator: Initialize
AgentOrchestrator->>AgentConfigurations: get_all_configs()
AgentConfigurations-->>AgentOrchestrator: {agent_name: AgentConfiguration}
AgentOrchestrator->>Agent: Instantiate with AgentConfiguration
sequenceDiagram
participant User
participant Providers (React)
participant ThemeContext
participant localStorage
participant window
User->>Providers: Render App
Providers->>localStorage: Get saved theme
Providers->>window: Get system preference
Providers->>ThemeContext: Provide {theme, setTheme, toggleTheme}
User->>ThemeContext: useTheme()
Poem
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Actionable comments posted: 6
🧹 Nitpick comments (5)
ai-backend/config/agent_config.py (1)
7-8: Clean up imports to address linting issues.Several unused imports and deprecated typing usage detected:
AnyandOptionalare imported but not usedFieldis imported but not usedDictis deprecated in favor ofdictApply this diff to clean up the imports:
-from typing import Dict, Any, Optional -from pydantic import BaseModel, Field +from typing import Dict +from pydantic import BaseModelAnd update the type annotation on line 73:
- def get_all_configs(cls) -> Dict[str, AgentConfiguration]: + def get_all_configs(cls) -> dict[str, AgentConfiguration]:web/lib/ai-integration/article-processor.ts (1)
27-30: Improve word counting accuracy.The current word counting logic may not handle edge cases accurately (empty strings, multiple spaces, etc.).
export function getReadingTime(content: string, wordsPerMinute = 200): number { - const wordCount = content.trim().split(/\s+/).length; + const wordCount = content.trim() === '' ? 0 : content.trim().split(/\s+/).length; return Math.ceil(wordCount / wordsPerMinute); }web/app/page.tsx (1)
17-29: Consider accessibility improvements for the styled links.The button styling looks good, but consider adding
role="button"and keyboard event handlers for better accessibility since these are functioning as buttons.<Link href="/articles" - className="px-6 py-3 bg-blue-600 text-white font-medium rounded-lg hover:bg-blue-700 transition-colors" + className="px-6 py-3 bg-blue-600 text-white font-medium rounded-lg hover:bg-blue-700 transition-colors focus:outline-none focus:ring-2 focus:ring-blue-500 focus:ring-opacity-50" + role="button" > View Articles </Link>web/app/test-hero/page.tsx (2)
3-6: Improve import organization for better readability.Consider consolidating the multiple imports from
@heroui/reactinto a single import statement and following the convention of React imports first.-import { Button } from '@heroui/react'; -import { Card, CardHeader, CardBody, CardFooter } from '@heroui/react'; -import { Input } from '@heroui/react'; -import { useState } from 'react'; +import { useState } from 'react'; +import { Button, Card, CardHeader, CardBody, CardFooter, Input } from '@heroui/react';
59-64: Consider adding form validation feedback for better UX testing.While the controlled input works correctly, consider adding validation state display to test error/success states of the Input component.
<Input label="Name" placeholder="Enter your name" value={inputValue} onChange={(e) => setInputValue(e.target.value)} + isInvalid={inputValue.length > 0 && inputValue.length < 2} + errorMessage={inputValue.length > 0 && inputValue.length < 2 ? "Name must be at least 2 characters" : ""} />
📜 Review details
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Review profile: CHILL
Plan: Pro
⛔ Files ignored due to path filters (1)
web/package-lock.jsonis excluded by!**/package-lock.json
📒 Files selected for processing (19)
ai-backend/config/agent_config.py(2 hunks)ai-backend/main.py(1 hunks)docker-compose.dev.yml(1 hunks)web/.eslintrc.json(1 hunks)web/.husky/commit-msg(1 hunks)web/.husky/pre-commit(1 hunks)web/.lintstagedrc.json(1 hunks)web/Dockerfile(1 hunks)web/app/page.tsx(2 hunks)web/app/providers.tsx(1 hunks)web/app/test-hero/page.tsx(1 hunks)web/commitlint.config.js(1 hunks)web/contexts/theme-context.tsx(1 hunks)web/lib/ai-integration/article-processor.ts(1 hunks)web/next-env.d.ts(1 hunks)web/next.config.js(1 hunks)web/package.json(2 hunks)web/tailwind.config.js(1 hunks)web/tsconfig.json(2 hunks)
🧰 Additional context used
🧬 Code Graph Analysis (2)
ai-backend/main.py (4)
ai-backend/agents/data_collector.py (1)
DataCollectorAgent(14-64)ai-backend/agents/researcher.py (1)
ResearchAgent(15-68)ai-backend/agents/writer.py (1)
WritingAgent(14-67)ai-backend/agents/editor.py (1)
EditorAgent(14-66)
web/app/providers.tsx (2)
web/contexts/theme-context.tsx (1)
useTheme(79-85)web/app/error.tsx (1)
Error(6-25)
🪛 Ruff (0.11.9)
ai-backend/config/agent_config.py
7-7: typing.Dict is deprecated, use dict instead
(UP035)
7-7: typing.Any imported but unused
Remove unused import
(F401)
7-7: typing.Optional imported but unused
Remove unused import
(F401)
8-8: pydantic.Field imported but unused
Remove unused import: pydantic.Field
(F401)
63-63: Blank line contains whitespace
Remove whitespace from blank line
(W293)
71-71: Blank line contains whitespace
Remove whitespace from blank line
(W293)
73-73: Use dict instead of Dict for type annotation
Replace with dict
(UP006)
🪛 Flake8 (7.2.0)
ai-backend/config/agent_config.py
[error] 7-7: 'typing.Any' imported but unused
(F401)
[error] 7-7: 'typing.Optional' imported but unused
(F401)
[error] 8-8: 'pydantic.Field' imported but unused
(F401)
🪛 Pylint (3.3.7)
ai-backend/config/agent_config.py
[refactor] 51-51: Too few public methods (0/2)
(R0903)
⏰ Context from checks skipped due to timeout of 90000ms (1)
- GitHub Check: Codacy Static Code Analysis
🔇 Additional comments (20)
docker-compose.dev.yml (1)
9-9: Port mapping change looks good.The change from host port 8000 to 8001 while maintaining container port 8000 is appropriate for avoiding potential port conflicts in the development environment.
ai-backend/config/agent_config.py (1)
51-76: Excellent refactoring to structured configuration models.The introduction of Pydantic models for agent configuration provides:
- Type safety and validation
- Better error handling with descriptive messages
- Clean separation of concerns
- Improved maintainability
The implementation is solid with proper error handling in
get_config()method.web/next-env.d.ts (1)
5-5: LGTM! Good code hygiene improvement.Adding the trailing newline aligns with standard formatting practices and doesn't affect the auto-generated nature of this file.
web/lib/ai-integration/article-processor.ts (2)
1-4: LGTM! Clean interface definition.The
ArticleContentinterface is well-structured with appropriate optional and required properties.
6-16: LGTM! Solid excerpt generation logic.The function handles edge cases well by providing a fallback when excerpt is missing and properly manages ellipsis addition.
web/.eslintrc.json (1)
11-11: LGTM! Appropriate ignore pattern.Excluding the commitlint configuration from ESLint checks is the right approach since it's an operational config file.
web/.husky/commit-msg (1)
1-4: commit-msg Hook Setup Approved – Dependencies ConfirmedThe
web/.husky/commit-msghook is correctly sourcing Husky and invoking Commitlint, and the required packages are declared inweb/package.json:
- web/package.json line 29:
"husky": "^8.0.3"- web/package.json line 20:
"@commitlint/cli": "^18.6.1"- web/package.json line 21:
"@commitlint/config-conventional": "^18.6.3"No further action required.
web/tailwind.config.js (1)
12-13: No missing Hero UI classes found
I ran a grep forbtn|card|badge|avatar|alertinclassNameprops (excluding node_modules) and only saw the word “card” in paragraph text—not as a CSS class. There are no remaining Hero UI plugin classes in use, so removing@heroui/react/pluginwon’t drop any needed utilities.web/next.config.js (1)
8-8: Export pattern is fine
module.exports = nextConfigis the canonical CommonJS export – no issues.web/commitlint.config.js (1)
1-18: Commitlint config suffers from the same path-discovery problem
commitlintresolves its config like ESLint – upward from CWD.
If thecommit-msghook is triggered at the repo root, the config insideweb/won’t be seen.Move the file to the root or call
commitlint --config web/commitlint.config.js.web/contexts/theme-context.tsx (3)
21-28: LGTM! Excellent SSR-safe localStorage handling.The try-catch wrapper around localStorage access is a great practice for SSR environments where localStorage might not be available. The error logging provides helpful debugging information.
33-52: Good SSR-safe implementation with proper cleanup.The runtime checks for
windowexistence prevent SSR errors, and the conditional event listener management is well-implemented. The explicitreturn undefinedensures consistent effect behavior.
79-85: Well-implemented context hook with proper error boundaries.The error message clearly indicates the usage requirement, which helps with developer experience.
web/package.json (1)
16-34: Ensure lockfile exists and run security audit
- The Babel presets (
@babel/preset-env,@babel/preset-react,@babel/preset-typescript) all require@babel/core^7.0.0-0, which is satisfied by your existing^7.27.7dependency—no compatibility issues there.- No
package-lock.json(or other lockfile) is present, sonpm auditfailed to run. Please add or commit a lockfile (e.g., vianpm i --package-lock-only) and re-runnpm audit --omit=devandnpm audit --devto catch any security advisories before merging.web/app/page.tsx (1)
1-4: Good refactoring with explicit return type.The removal of the HeroUI Button dependency and addition of explicit return type improves type safety and reduces external dependencies.
web/tsconfig.json (2)
25-41: Good module resolution improvements.The switch to "node" module resolution, baseUrl, and path mapping will improve import resolution. The explicit types array is also a good practice for clarity.
4-8: Verify ESNext feature compatibilityEnsure that switching
"lib"to"esnext"doesn’t introduce unsupported syntax at runtime. ESNext can enable features such as optional chaining (?.), nullish coalescing (??), private class fields (#foo), dynamicimport(), top-levelawait, logical assignment operators, BigInt, and more.Please confirm that your build targets and transpilation pipeline handle these features:
- Check
web/tsconfig.jsonfor a suitable"target"(e.g."es5"or above)- Verify you have a
browserslistentry (in package.json or.browserslistrc)- Ensure Babel/
@babel/preset-envor your bundler is configured to down-level and polyfill ESNext features as neededIf any of these are missing or too permissive, adjust them so older browsers are covered.
web/app/providers.tsx (1)
1-68: Critical: Duplicate theme implementation with SSR safety issues.This file duplicates the theme management functionality already implemented in
web/contexts/theme-context.tsxbut with several issues:
- SSR Safety: Direct access to
localStorageandwindow.matchMedia(lines 16-17) will cause errors during server-side rendering- Type Inconsistency: This uses
Theme = 'light' | 'dark'whiletheme-context.tsxincludes'system'option- Code Duplication: Both files export
ThemeContextanduseTheme, which will cause conflictsConsider consolidating these implementations. The
theme-context.tsxversion is more robust with proper SSR safety checks. If you need this separate implementation, add SSR safety:React.useEffect(() => { - const savedTheme = localStorage.getItem('theme') as Theme | null - const prefersDark = window.matchMedia('(prefers-color-scheme: dark)').matches + if (typeof window === 'undefined') return + + try { + const savedTheme = localStorage.getItem('theme') as Theme | null + const prefersDark = window.matchMedia('(prefers-color-scheme: dark)').matches + + if (savedTheme) { + setTheme(savedTheme) + } else { + setTheme(prefersDark ? 'dark' : 'light') + } + } catch (error) { + console.error('Error accessing browser APIs:', error) + } - - if (savedTheme) { - setTheme(savedTheme) - } else { - setTheme(prefersDark ? 'dark' : 'light') - } }, [])Likely an incorrect or invalid review comment.
web/app/test-hero/page.tsx (2)
8-100: Well-structured test page with comprehensive component coverage.The test page effectively demonstrates various HeroUI components with good organization into logical sections. The implementation includes:
- Proper state management for controlled inputs
- Good variety of component props and variants
- Responsive design testing
- Dark mode considerations
- Appropriate Tailwind CSS usage
The component serves its purpose well as a development testing interface.
89-95: Good use of responsive design patterns.The implementation correctly demonstrates responsive behavior using Tailwind's grid system. The use of
mapwith properkeyprop is a good practice.
| # Initialize agents with the configuration objects directly | ||
| self.data_collector = DataCollectorAgent(configs["data_collector"]) | ||
| self.researcher = ResearchAgent(configs["researcher"]) | ||
| self.writer = WritingAgent(configs["writer"]) | ||
| self.editor = EditorAgent(configs["editor"]) |
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💡 Verification agent
🧩 Analysis chain
Verify agent initialization compatibility with Pydantic models.
The change to pass full configuration objects aligns well with the new structured approach. However, ensure that the agent constructors properly handle the Pydantic model objects.
Run this script to verify the agents can properly handle the new configuration objects:
🏁 Script executed:
#!/bin/bash
# Description: Verify agent constructor signatures match the new configuration approach
echo "Checking agent constructor signatures..."
# Check if agents expect Dict[str, Any] and how they handle the config
ast-grep --pattern 'class $AGENT_NAME {
$$$
def __init__(self, config: $TYPE):
$$$
}'
echo -e "\nChecking how config is used in agent constructors..."
rg -A 10 "def __init__.*config.*:" ai-backend/agents/Length of output: 3452
🏁 Script executed:
#!/bin/bash
# Locate where `configs` is constructed in main.py
echo "Searching for configs assignment in main.py..."
rg -n "configs\s*=" -A5 -B5 ai-backend/main.py
# Find the Pydantic model definitions to see if .dict() is used
echo -e "\nLocating Pydantic config model definitions..."
rg -n "^class .+Config" -A5 -B5 ai-backend/agent_config.py
# Check for any `.dict()` calls on those models before they’re passed to agents
echo -e "\nChecking for .dict() usage on Pydantic models in main.py..."
rg -n "\.dict\(\)" -A3 -B3 ai-backend/main.pyLength of output: 1116
🏁 Script executed:
#!/bin/bash
# Locate the file containing get_all_configs and display its implementation
echo "Searching for get_all_configs definition..."
file=$(rg -l "def get_all_configs" -R .)
if [[ -z "$file" ]]; then
echo "get_all_configs not found."
exit 1
fi
echo "Found get_all_configs in: $file"
echo -e "\nShowing implementation (definition + next 20 lines):"
rg -n "def get_all_configs" -A20 -B0 "$file"Length of output: 631
🏁 Script executed:
#!/bin/bash
# Correctly locate the AgentConfigurations class and get_all_configs method
echo "Searching for AgentConfigurations class definition..."
rg -n "class AgentConfigurations" .
echo -e "\nSearching for get_all_configs method definition..."
rg -n "def get_all_configs" .Length of output: 471
🏁 Script executed:
#!/bin/bash
# Show the implementation of get_all_configs to confirm return types
echo "=== get_all_configs implementation ==="
rg -n "def get_all_configs" -A20 ai-backend/config/agent_config.py
# Inspect how DataCollectorAgent uses self.config to validate expected type usage
echo -e "\n=== DataCollectorAgent config usage ==="
rg -n "class DataCollectorAgent" -A50 ai-backend/agents/data_collector.py | rg -n "self\.config"Length of output: 1086
#!/bin/bash
# Show AgentConfiguration class and check for dict-like behavior
echo "=== AgentConfiguration class definition ==="
rg -n "class AgentConfiguration" -A200 ai-backend/config/agent_config.py
echo -e "\n=== Checking for __getitem__ or __iter__ overrides ==="
rg -n "__getitem__" ai-backend/config/agent_config.py
rg -n "__iter__" ai-backend/config/agent_config.py
# Inspect how each agent uses self.config
for agent in data_collector researcher writer editor; do
echo -e "\n=== ${agent^}Agent config access ==="
rg -n "self\.config\[" -A3 ai-backend/agents/${agent}.py
rg -n "self\.config\." -A3 ai-backend/agents/${agent}.py
done#!/bin/bash
# Display the AgentConfiguration class to verify base class and methods
echo "=== AgentConfiguration Class Definition and Methods ==="
rg -n "class AgentConfiguration" -A200 ai-backend/config/agent_config.py
# Check if __getitem__ or mapping protocol is implemented
echo -e "\n=== Checking for __getitem__ or __iter__ in AgentConfiguration ==="
rg -n "__getitem__" ai-backend/config/agent_config.py || echo "__getitem__ not found"
rg -n "__iter__" ai-backend/config/agent_config.py || echo "__iter__ not found"
# Inspect how agents use self.config in their methods
echo -e "\n=== Agent self.config Access Patterns ==="
for file in ai-backend/agents/*.py; do
echo "--- $file ---"
rg -n "self\.config\[" -A2 "$file" || echo "No index access"
rg -n "self\.config\." -A2 "$file" || echo "No attribute access"
doneConvert Pydantic models to dict before passing into agents
The AgentConfigurations.get_all_configs() method returns Pydantic model instances (AgentConfiguration), but each agent’s constructor still expects a plain Dict[str, Any]. Since we never call .dict(), you’ll be handing BaseModel objects to code that likely does self.config["…"], which will break at runtime.
Please update ai-backend/main.py around lines 69–73 to unpack the validated models into dicts (or alternatively adjust each agent to accept AgentConfiguration). For example:
- self.data_collector = DataCollectorAgent(configs["data_collector"])
+ self.data_collector = DataCollectorAgent(configs["data_collector"].dict())
- self.researcher = ResearchAgent(configs["researcher"])
+ self.researcher = ResearchAgent(configs["researcher"].dict())
- self.writer = WritingAgent(configs["writer"])
+ self.writer = WritingAgent(configs["writer"].dict())
- self.editor = EditorAgent(configs["editor"])
+ self.editor = EditorAgent(configs["editor"].dict())• ai-backend/main.py:69–73 – wrap each configs[...] in .dict()
• Or update agent __init__ signatures to accept AgentConfiguration and access attributes (e.g. config.parameter) instead of dict lookups.
📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| # Initialize agents with the configuration objects directly | |
| self.data_collector = DataCollectorAgent(configs["data_collector"]) | |
| self.researcher = ResearchAgent(configs["researcher"]) | |
| self.writer = WritingAgent(configs["writer"]) | |
| self.editor = EditorAgent(configs["editor"]) | |
| # Initialize agents with the configuration objects directly | |
| self.data_collector = DataCollectorAgent(configs["data_collector"].dict()) | |
| self.researcher = ResearchAgent(configs["researcher"].dict()) | |
| self.writer = WritingAgent(configs["writer"].dict()) | |
| self.editor = EditorAgent(configs["editor"].dict()) |
🤖 Prompt for AI Agents
In ai-backend/main.py around lines 69 to 73, the code passes Pydantic model
instances directly to agent constructors, but these expect plain dictionaries.
To fix this, convert each Pydantic model to a dictionary by calling .dict() on
each configs[...] before passing it to the agents. For example, replace
configs["data_collector"] with configs["data_collector"].dict() and do the same
for the others.
| export function formatArticleDate(date: Date | string): string { | ||
| const dateObj = typeof date === 'string' ? new Date(date) : date; | ||
| return new Intl.DateTimeFormat('en-US', { | ||
| year: 'numeric', | ||
| month: 'long', | ||
| day: 'numeric', | ||
| }).format(dateObj); | ||
| } |
There was a problem hiding this comment.
🛠️ Refactor suggestion
Add error handling for invalid dates.
The date formatting function should handle invalid date inputs more gracefully to prevent runtime errors.
export function formatArticleDate(date: Date | string): string {
const dateObj = typeof date === 'string' ? new Date(date) : date;
+
+ if (isNaN(dateObj.getTime())) {
+ throw new Error('Invalid date provided to formatArticleDate');
+ }
+
return new Intl.DateTimeFormat('en-US', {
year: 'numeric',
month: 'long',
day: 'numeric',
}).format(dateObj);
}📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| export function formatArticleDate(date: Date | string): string { | |
| const dateObj = typeof date === 'string' ? new Date(date) : date; | |
| return new Intl.DateTimeFormat('en-US', { | |
| year: 'numeric', | |
| month: 'long', | |
| day: 'numeric', | |
| }).format(dateObj); | |
| } | |
| export function formatArticleDate(date: Date | string): string { | |
| const dateObj = typeof date === 'string' ? new Date(date) : date; | |
| if (isNaN(dateObj.getTime())) { | |
| throw new Error('Invalid date provided to formatArticleDate'); | |
| } | |
| return new Intl.DateTimeFormat('en-US', { | |
| year: 'numeric', | |
| month: 'long', | |
| day: 'numeric', | |
| }).format(dateObj); | |
| } |
🤖 Prompt for AI Agents
In web/lib/ai-integration/article-processor.ts around lines 18 to 25, the
formatArticleDate function does not handle invalid date inputs, which can cause
runtime errors. Add a check after creating the dateObj to verify if it is a
valid date (e.g., using isNaN(dateObj.getTime())). If the date is invalid,
return a default string like "Invalid date" or handle it appropriately to avoid
errors during formatting.
| #!/usr/bin/env sh | ||
| . "$(dirname -- "$0")/_/husky.sh" | ||
|
|
||
| npx lint-staged |
There was a problem hiding this comment.
💡 Verification agent
🧩 Analysis chain
LGTM! Proper Husky pre-commit hook setup.
The hook correctly sources the Husky environment and runs lint-staged for automated formatting and linting of staged files.
Verify that lint-staged is configured and dependencies are installed:
🏁 Script executed:
#!/bin/bash
# Verify lint-staged dependency and configuration
cd web && npm list lint-staged && test -f .lintstagedrc.json && echo "lint-staged config exists"Length of output: 307
Missing lint-staged dependency and configuration
The Husky hook is correctly set up to run npx lint-staged, but our verification shows:
npm list lint-stagedreports(empty)– the package isn’t installed.- No
.lintstagedrc.json(or other lint-staged config) was found.
Please ensure you:
- Install lint-staged as a dev dependency (e.g.
npm install --save-dev lint-staged). - Add a lint-staged configuration, either by creating a
.lintstagedrc.json(or.js) file or adding a"lint-staged"section inweb/package.json.
🤖 Prompt for AI Agents
In web/.husky/pre-commit lines 1 to 4, the pre-commit hook runs `npx
lint-staged` but the lint-staged package is not installed and no configuration
exists. Fix this by installing lint-staged as a dev dependency using `npm
install --save-dev lint-staged` in the web project, then add a lint-staged
configuration either by creating a `.lintstagedrc.json` or `.lintstagedrc.js`
file in the web directory or by adding a "lint-staged" section in the
web/package.json with the appropriate file patterns and commands to run.
| images: { | ||
| domains: [], | ||
| }, |
There was a problem hiding this comment.
🛠️ Refactor suggestion
Empty images.domains blocks all external images
With domains: [] Next.js will refuse to optimise any remote image.
If you intend to load avatars, logos, etc. from CDNs you must whitelist them here.
-images: {
- domains: [],
-},
+images: {
+ domains: ['assets.example-cdn.com', 'images.unsplash.com'],
+},📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| images: { | |
| domains: [], | |
| }, | |
| images: { | |
| domains: ['assets.example-cdn.com', 'images.unsplash.com'], | |
| }, |
🤖 Prompt for AI Agents
In web/next.config.js around lines 3 to 5, the images.domains array is empty,
which blocks all external images from being optimized by Next.js. To fix this,
add the domain names of any external image sources (such as CDNs hosting avatars
or logos) to the domains array to whitelist them and allow Next.js to optimize
those images.
| { | ||
| "*.{ts,tsx}": ["eslint --fix", "prettier --write"], | ||
| "*.{js,jsx}": ["eslint --fix", "prettier --write"], | ||
| "*.{json,md,css}": ["prettier --write"] | ||
| } |
There was a problem hiding this comment.
Config location may be ignored when Husky runs from repo root
Husky hooks execute at the repository root. lint-staged looks for its config starting from the current working directory and walks upward, not downward, so a file in web/.lintstagedrc.json won’t be discovered unless the hook first cd web.
Either move the config to the repo root (or package.json), or change the hook to cd web && npx lint-staged.
🤖 Prompt for AI Agents
In web/.lintstagedrc.json at lines 1 to 5, the lint-staged config file is placed
inside the web directory, but Husky runs hooks from the repo root and won't find
this config unless the working directory is changed. To fix this, either move
the .lintstagedrc.json file to the repository root or update the Husky hook
command to first change directory into web (cd web) before running lint-staged.
| # Copy package files and install dependencies | ||
| COPY package*.json ./ | ||
| RUN npm ci | ||
| RUN npm install | ||
| RUN npm install next-themes | ||
| RUN npm install -D typescript @types/react @types/node @types/react-dom |
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🛠️ Refactor suggestion
Three layered npm installs inflate image size and slow builds
Every RUN npm install … creates an extra layer and duplicates dependency resolution. Use a single layer and prefer npm ci for lock-file fidelity:
-# Copy package files and install dependencies
-COPY package*.json ./
-RUN npm install
-RUN npm install next-themes
-RUN npm install -D typescript @types/react @types/node @types/react-dom
+# Copy package files and install dependencies
+COPY package*.json ./
+RUN npm ci \
+ && npm install next-themes \
+ && npm install -D typescript @types/react @types/node @types/react-domThis keeps the image smaller and cache-friendly.
📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| # Copy package files and install dependencies | |
| COPY package*.json ./ | |
| RUN npm ci | |
| RUN npm install | |
| RUN npm install next-themes | |
| RUN npm install -D typescript @types/react @types/node @types/react-dom | |
| # Copy package files and install dependencies | |
| COPY package*.json ./ | |
| RUN npm ci \ | |
| && npm install next-themes \ | |
| && npm install -D typescript @types/react @types/node @types/react-dom |
🤖 Prompt for AI Agents
In web/Dockerfile around lines 5 to 9, multiple RUN npm install commands create
extra layers and duplicate dependency resolution, increasing image size and
build time. Combine all npm install commands into a single RUN statement using
npm ci to install dependencies based on the lock file, ensuring fidelity and
reducing image layers. This will make the image smaller and builds more
cache-friendly.
1 participant
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