SShortSingh.
Back to feed

bindantic 1.0.0 lets developers define BIND9 configs as validated Pydantic models

0
·1 views

A developer has released bindantic 1.0.0, a Python library that allows BIND9 DNS configurations to be written as Pydantic models rather than raw text files. The tool generates valid named.conf and zone-file syntax from Python code, catching errors such as missing fields or invalid options at model-build time instead of at BIND reload. It supports all major named.conf blocks and common DNS resource record types, and includes a write_files() method to lay out configuration files into the correct directories. Unlike bind9_parser, which parses existing BIND9 configs, bindantic is designed for generating configurations from scratch, making it suited for infrastructure-as-code workflows. The library is not recommended for zones that BIND actively mutates via dynamic updates or inline DNSSEC signing, as BIND can overwrite zone files without preserving user formatting.

Read the full story at DEV Community

This is an AI-generated summary. ShortSingh links to the original source for the complete article.

Discussion (0)

Log in to join the discussion and vote.

Log in

Related stories

0
ProgrammingDEV Community ·

React Custom Hooks Explained: How to Reuse Stateful Logic Across Components

Custom Hooks in React are JavaScript functions prefixed with 'use' that encapsulate reusable stateful logic, allowing developers to share it across multiple components without duplicating code. Common use cases include API data fetching, window resize detection, online/offline status monitoring, and form validation. Unlike copying logic into each component, Custom Hooks keep codebases cleaner and easier to maintain by isolating functionality in a single reusable function. Importantly, while the logic is shared, each component instance gets its own independent state, meaning two components using the same Hook do not share data. This concept is part of Day 18 of the React Mastery Series on DEV Community, which has been progressively covering advanced React patterns.

0
ProgrammingDEV Community ·

ByteDance launches Seedance 2.5 with 30-second AI video generation in one pass

ByteDance officially released Seedance 2.5 on July 31, 2026, a new AI video generation model developed by its Seed team. The model doubles the maximum clip length from 15 to 30 seconds with synchronized audio produced in a single generation step. It supports multi-round clip extension to create multi-minute sequences while maintaining consistent characters, settings, and visual style. Users can supply up to 30 images, 10 video clips, and 10 audio clips as reference material in a single generation, alongside new editing tools such as timestamp-level control, green screen, and camera perspective changes. Seedance 2.5 is already available through ByteDance's Jimeng AI and Doubao Pro platforms, with API access via BytePlus ModelArk expected soon.

0
ProgrammingDEV Community ·

Developer Builds Open-Source Markdown Editor After Typora License Dispute

A developer lost access to their Typora Markdown editor after it unexpectedly flagged their license as exhausted and showed an error. While awaiting support, they found no satisfactory free or open-source alternative and decided to build their own editor overnight. The project resulted in a fully functional desktop app built with Electron, React 18, and TypeScript, using a secure IPC-based architecture to separate system and rendering processes. A second version was subsequently rewritten in Rust, with distributable builds packaged for both editions. Both applications have been released as open-source and are publicly available for use.

0
ProgrammingDEV Community ·

Developer publishes 12 UI easing curves as pure math functions for JS and C#

A developer has documented twelve commonly used UI easing curves as stateless, closed-form arithmetic functions that take a normalized time value and return a normalized position. The goal is to ensure identical animation behaviour across platforms such as web front ends and Unity clients, where subtle implementation differences can cause animations to feel inconsistent. The set includes standard polynomial curves like smoothstep, smootherstep, and cubic variants, as well as overshoot and anticipate curves that intentionally exceed the 0–1 output range. The author warns that clamping the output of overshoot or anticipate curves defeats their purpose, and advises choosing a different curve if the rendering layer cannot handle out-of-range values. All twelve curves are also provided as pre-sampled JSON lookup tables, with the worst-case interpolation error measured at under 0.001 across 20,001 test points.