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🧑‍🏫 How to Teach GPT to Code Python your way

The article discusses how AI can be trained to assist developers in coding, likening the AI to an intern with potential but lacking judgment.
It emphasizes the importance of mentoring and guiding AI like an apprentice to improve its coding skills.
The concept of 'AI Pair Programming' is introduced as a way to work with AI in a structured manner to solve coding problems.
Guidelines are provided on setting up an AI coding flow, outlining problems, coding basic versions, and documenting the process.
The article suggests training AI to learn developer preferences and habits to produce cleaner code with fewer bugs.
Building feedback loops for auto-evaluation is recommended to help AI improve itself based on set standards and unit tests.
Resources like Typer Docs, Rich, Python Type Hints, and pytest are suggested to aid in smart prompting and debugging while training AI.
The article concludes by emphasizing that developers are not being replaced by AI but rather elevated through the mentorship and training of AI tools.
It encourages developers to start training AI using scripts, guiding them through each project and prompt, with a reminder to come back for support.
Additionally, ten recommended courses related to computing, tech history, and programming weirdness are highlighted for further learning.

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Dev

323

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Build Fast, Build Smart: How I Use APIs to Launch MVPs in Days — Not Weeks

"Speed doesn’t mean rushing — it means removing friction." In the startup world, speed is crucial, and building everything from scratch is unnecessary for MVPs.
Many MVPs fail by treating it as a final product, spending time on custom features instead of validating the idea. API-first MVP development is a smarter approach.
The recommended API-first MVP stack includes tools for payments, authentication, location services, analytics, and emails to accelerate development without compromising quality.
The importance of vetting APIs before integration, illustrated with a real example of a 3-day MVP launch using Stripe, Firebase Auth, SendGrid, and Google Analytics.

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Dev

391

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⚡ Real-Time Data Dashboards with Python: Build a Lightning-Fast Web App for Live Metrics

Businesses now require instant visibility into key metrics, achievable through real-time dashboards built with Python and modern web tools.
The guide demonstrates constructing a real-time web dashboard using FastAPI, WebSocket integration with Starlette, Redis for pub/sub, Chart.js + HTMX for front-end updates, PostgreSQL for historical storage, and Tailwind CSS for UI.
An example scenario involves monitoring smart sensors in warehouses for temperature/humidity with live charts, historical data, alerts, and responsive design.
The tech stack includes FastAPI for the backend, Tailwind + HTMX for the frontend, WebSockets + Redis for real-time updates, PostgreSQL for storage, and Redis for caching.
Project structure includes backend with FastAPI, models, WebSocket, and DB setup, frontend with templates and static files, and a script for simulating sensor data.
Additional features cover storing data in PostgreSQL, triggering alerts with thresholds, and deployment tips using Uvicorn, Gunicorn, NGINX, and platforms like Render or DigitalOcean.
The tutorial encompasses Async WebSockets, Redis Pub/Sub, FastAPI Routing + BackgroundTasks, HTMX + Chart.js, PostgreSQL integration, and real-world hardware modeling.
Real applications for such dashboards include factory sensors, crypto tickers, fleet management, fitness visualizers, and server monitoring tools.
Python's modern ecosystem enables developers to create and deploy real-time dashboards without the complexities of React or Firebase, offering vast business potential.
Done-for-you article kits are available for quick content creation, including topics like DIY computing, hacker techniques, bot invasions, data manipulation, and forgotten tech frontiers.
One can use these articles to boost authority, attract traffic, monetize, and customize with branding, affiliate links, and quick publishing for blogs, newsletters, social posts, and more.

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Dev

414

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From Tailwind CLI to Vite: A Developer’s Journey to Better Performance (2025 Edition)

A developer integrates Vite into an existing TailwindCSS CLI project for better performance and workflow efficiency.
Key steps include creating a backup branch, understanding Vite best practices, and updating folder structure for modularity using vite-plugin-ejs.
Vite's features like Hot Module Replacement, optimized production builds, and seamless integration with modern tools are highlighted.
A comparison between the developer's current setup and Vite showcases the speed, modularity, and ease of use Vite offers.
The developer creates a modular folder structure to organize the project code and enhances the workflow through Vite and Vite-plugin-ejs.
NPM scripts are updated to align with Vite's commands, and the TailwindCSS setup is adjusted to work seamlessly with the new modular structure.
The developer tests the development workflow, builds for production, inspects the output, and prepares for deployment.
Comments are added to key files for easier understanding, and the production setup is optimized for performance.
The final process of building for production ensures the site is ready for deployment, with optimized performance and minimal file sizes.
Integrating Vite has streamlined the workflow, enhanced development processes, and improved site performance, setting a solid foundation for future exploration.

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Dev

437

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🚀 DRF ViewSets & Routers Explained – Build REST APIs Faster with Django

DRF ViewSets & Routers explained to help build REST APIs faster with Django.
Discusses the benefits of using ViewSets in Django Rest Framework (DRF) and how Routers can automate URL patterns.
Explains the differences between ModelViewSet, ReadOnlyModelViewSet, and custom ViewSets with a hands-on coding demo included.
Target audience includes beginners, intermediate developers, and anyone working on API development in Django looking to follow best practices.

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Medium

318

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The latency oversight

A friend's company faced unexpected chaos in web development due to overlooking a seemingly innocent detail.
The chaos arose from not asking a simple question of whether the website will be used globally or just within one country.
This led to damage control, technical fixes, and a valuable lesson for the team.
The company, known for building fast, user-friendly web applications, was approached by a client to build a customer-facing platform with sensitive data, real-time updates, and personalized dashboards.

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19 Likes

PlanetPython

100

Luke Plant: Knowledge creates technical debt

Technical debt is a term used in software development to describe the consequence of gaining knowledge and discovering better ways to do things.
Technical debt can appear unexpectedly when new knowledge is gained, leading to a choice between living with the existing issues or investing resources to fix the code.
Viewing technical debt as a byproduct of knowledge acquisition presents it as an opportunity for improvement rather than just a liability.
Addressing technical debt is seen as an investment in leveraging newfound knowledge, which can ultimately lead to enhanced software quality and competitiveness.

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PlanetPython

282

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Talk Python to Me: #505: t-strings in Python (PEP 750)

Python has introduced a new string formatting feature called t-strings for advanced use-cases such as SQL, HTML, and DSLs.
t-strings are seen as the next evolution of Python string formatting after f-strings, aiming to address security concerns and runtime code manifestations.
PEP 750 introduces Template Strings and is designed to enable writing domain-specific languages.
Guests on the show include Paul Everitt, David Peck, and Jim Baker discussing the new t-strings feature in Python.

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Dev

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The Role of Automation in Email Marketing Using Python

Email marketing remains a highly effective channel for businesses, but manual efforts are not feasible in today's digital world, leading to the rise of automation.
Python plays a crucial role in email marketing automation due to its flexibility, control, and integration capabilities with various systems.
Automation benefits include saving time, increasing engagement, improving accuracy, and enabling scalability for reaching a larger audience.
Using Python for email automation offers beginner-friendly features, rich libraries for handling emails, scheduling, data processing, and easy integration with external APIs and databases.

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3 Likes

Dev

218

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How to Fix 403 Forbidden Error in Shiprocket API Integration?

Encountering a 403 Forbidden error in Shiprocket API integration can be frustrating as it indicates the server refuses to authorize the request.
Possible reasons for this error include invalid token, insufficient permissions, endpoint errors, or surpassing request limits.
To fix this, authenticate using proper Java code with WebClient, ensure correct order creation request, and validate the order payload.
Common pitfalls to avoid include using the updated API URL, verifying content-type, checking permissions, and implementing error logging for better debugging.

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13 Likes

Medium

364

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Spot Overstretched Moves: Build a VWAP+ATR Price Stretch Detector in Pine Script

Combining VWAP and ATR helps in measuring price extremes more accurately.
ATR measures normal price volatility over a given period, setting a baseline for comparison.
User-controlled settings in the stretch detector determine its sensitivity and smoothness.
The stretch detector visually highlights price stretches beyond set thresholds for better decision-making.

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21 Likes

Dev

368

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Why Every Young Person Should Understand Blockchain Basics.

Blockchain is a transparent and secure digital technology that powers cryptocurrencies, NFTs, smart contracts, and decentralized apps.
Starting young in blockchain offers advantages like more time to learn, creativity, and a competitive edge in the future.
Opportunities in blockchain include building dApps, creating crypto tokens, working as a developer, trading wisely, and forming blockchain-powered communities.
You don't need to be a genius to learn blockchain; starting with free platforms and taking small steps can lead to significant growth in understanding.

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22 Likes

Medium

195

Title: Mastering State Management in Flutter: My Journey with BLoC in Real-World Projects

Used BLoC in a real-time chat application on Firebase to manage authentication, message streaming, user state, and UI interactions.
Implemented authentication, chat streaming, profile updates, push notifications, and dark mode toggle using BLoC pattern to decouple UI from business logic.
Developed category-based watch feed with paginated content streams using per-category BLoCs for independent pagination state and smooth UX.
Utilized BLoC for comment system with optimistic UI rendering, combining local state with BLoC orchestration for responsive UX and backend consistency.

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11 Likes

Medium

428

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Freelance with Go: Clients Will Pay for These 3 Use Cases

Freelancers using Go can get paid for three key services that are in high demand.
Go is well-suited for scalability, simplicity, and high performance, making it a preferred choice for clients.
Go compiles to a single binary, excels in concurrency, and is backed by Google, with prominent users like Uber, Dropbox, Netflix, and Stripe.
By focusing on outcomes rather than just code syntax, freelancers can command premium rates in the market.

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Nordicapis

414

How to Automate Your API Governance

The rapid increase in the number of APIs created yearly, driven by AI and data-driven culture, emphasizes the need for effective API governance to prevent ecosystem chaos.
API governance is crucial for API-first design, ensuring APIs are created directly from their descriptions and enforcing formatting standards.
Proper API governance involves defining policies, guidelines, and processes to enhance consistency, security, and collaboration among teams in managing API portfolios.
To automate API governance effectively, it is essential to adopt OpenAPI specifications, utilize API gateways, and establish consistent standards in API design.
Creating and implementing automated rules using tools like Spectral helps assess API descriptions and enforce governance policies, such as requiring descriptions for schemas.
Automating API documentation generation using tools like Scalar streamlines the process, ensuring accurate and up-to-date documentation, improving overall API governance.
Automated API governance, when integrated into CI/CD pipelines and combined with API testing, creates a robust system for API creation and documentation with minimal manual effort.
Effective API governance tools and automation contribute to maintaining API standards, enhancing security, and facilitating API development within organizations.
API governance automation, alongside proper planning and tools implementation, streamlines API workflows and ensures compliance with standards and best practices.
Automation tools like Spectral enable thorough assessment of API descriptions to maintain consistency and quality, supporting efficient API development processes.
In conclusion, automating API governance is essential for optimizing API performance, ensuring adherence to standards, and simplifying the overall API management process.

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