This is Part 1 of a multi-part series on integrating Rust into a large C codebase.

• Part 1: Integrating Rust in a Waf-based C Build System
• Part 2: First Rust Component: Rewriting farchc (WIP)

Introduction

lib-common is a C library developed by Intersec . It provides core utilities (strings, containers, memory management), networking (HTTP, RPC, event loop), serialization through IOP (Intersec Object Packer, similar to Protocol Buffers), etc. It targets Linux environments and has been in active development for many years.

Introduction

Cython is a programming language that makes writing C extensions for Python as easy as Python itself. It lets us write Python code that calls back and forth from and to C/C++ code natively, and compiles to efficient C code usable as a Python extension module.

At Intersec , we use Cython in lib-common , our open-source C library. One of its key components is IOPy, the Python binding for our IOP serialization framework (similar to Protocol Buffers). IOPy dynamically creates Python classes from IOP type definitions at DSO load time, and each class needs to hold a pointer to its C type descriptor for fast serialization.

Presentation 🤓

In recent years, there has been significant progress in the field of artificial intelligence, especially with the development of lightweight models that can run locally and provide good results. These local AIs are interesting because they ensure data confidentiality, which is a crucial factor in our work environment.

As a software company, we use many digital tools to facilitate our work and collaboration among colleagues. Among these tools, we use Slack for internal communication and Redmine for project management.

For the designers

Introduction: What is Rive?

Rive is a brand new animation tool and we tested it to try its innovative features that bring in interactivity while keeping good performance.

Today we’re using Lottie and we’re comparing it to Rive. Lottie is an After Effects plugin. It allows motion designs to be exported out of After Effects and used in-app with their own JS runtime, an NPM Library. While Lottie is built on top of After Effects, Rive is built from scratch with its own animation software allowing developers to add interactivity to their animations. As a result, we have lots of great exclusive features while getting 10 times smaller exported files and better in-app performance.

Objective

Text editors are essential tools for software developers. These editors provide many useful features to make developers’ lives easier and improve their productivity.

There is a wide variety of text editors. Moreover, each language has its own characteristics and each company/project may decide to adopt different coding rules. For all these reasons, it is difficult to offer a configuration suitable for everyone.

In this hackathon, we tried to help developers configure their text editors correctly for optimal performance. For this purpose, using the Language Server Protocol (LSP) seemed like a good option.

Context and purpose

This project was part of the 12th Intersec Hackathon (0x0C). We had 2 days (31 hours) to develop and present our project. Our team consisted of Yohann Balawender and Benoît Mariat.

The purpose of our project was to explore the Web Speech API and to use it in an Intersec product to send verbal commands that would replace the use of a mouse, even for complex actions.

Background

At Intersec, we have produced and installed multiple applications over the years, and installed them on multiple platforms (various OS) for many customers all over the world.

Today some of these applications are in a “maintenance only” mode (we no longer add features to them). However, we must keep the artifacts (mainly packages for Debian and Red Hat) currently installed on the customer’s premises.

We also regularly build new versions of our “active” products (to add new features and bugfixes), also on multiple OS. And we have continuous delivery pipelines which create “nightly” builds for our internal development and test platforms.

The previous article on QPOD was mainly about intercepting commands from the shell. The handling of these commands was not really described. This is the purpose of this article.

QPOD environment and template

Before taking a look at how QPOD handles the execution of various programs, we need to introduce the QPOD environment. An environment defines a directory in which QPOD will handle program execution.

As QPOD is designed for building and running programs, it uses the git repository to define an environment location. This makes it easy to find the environment from any sub-directory with some simple git commands.

Developing a mobile app for both iOS and Android platform

At Intersec, we recently launched our new alerting product, Trela. With this product, mayors can alert and communicate local information to their subscribers. And today, in order to easily send send information to people, we use mobile apps. That’s why we decided to enable this communication channel in our product. When we began this project, we had some requirements. The code has to be:

Objective

Expertise in location data is at the core of Intersec technologies. Retrieving and exploiting such data from cellular networks helps us address use cases in various fields like public safety, location-based advertising or smart cities and territories.

When dealing with raw locations retrieved at an antenna level within these networks, a central challenge is to infer when a device is staying in the same area or when it is moving. What might seem simple when we think about GNSS trajectories (for example, based on GPS coordinates) is not that easy when we have to handle antenna-based locations.