Cyclic LipoPeptides (CLiPs) constitute a unique major class of microbial secondary metabolites with surfactant and antifungal properties that make it possible to consider their use in biocontrol applications. They can act through direct antagonism mechanisms towards the pathogen (biocides) or indirectly by inducing plant defense responses. CLiPs are non-ribosomally synthesized by modular mega-enzymes so-called Non-Ribosomal Peptide Synthetases (NRPS) that are encoded by large biosynthetic gene clusters (BGCs) spanning over dozens of kilobases (kb) in the genomes. NRPSs work as production chains to catalyse, step by step, the assembly of amino acids leading to the construction of non-ribosomal peptides. For a decade, bioinformatics tools have been developed to facilitate the identification of BGCs within the genomes and to predict the structure of potentially produced CLiPs. Several obstacles to the use of CLiPs in biocontrol have been identified. On one hand, CLiPs are frequently produced in small quantities (at most a few tens of miligrams per liter of culture), and the same strain is often capable of co-producing several lipopeptides in a mixture, which poses difficulties in their extraction/purification. On the other hand, some BGCs are even cryptic, i.e. not expressed under laboratory culture conditions. To overcome these limits, heterologous production consists of using a host strain into which BGCs containing biosynthesis genes are introduced to produce the targeted CLiP. We developed molecular tools in combination with a chassis strain, capable of receiving various BGCs, to control the production of variable CLiPs of various origins and in sufficient quantities to i) analyze their structure, ii) understand their mode of action, and iii) evaluate their activities at different scales (laboratory, greenhouse, field). Here, we present the results of proof of concept with orfamide synthetase genes cluster expressed in the strain Paraburkholderia phytofirmans PsJN.