If you mean genome assembly, I guess your best shot is still to use well-known UNIX-based tools depending on the sequencing data you have (Illumina, PacBio, Hi-C...).
If you need genome assembly, I would recommend the Galaxy servers. They are freely available at https://usegalaxy.org/ . The Unicycler assembler is very good, and based on the well-used SPAdes assembler. You can also run the assembly through Quast (also on the galaxy server) to check quality. The only problem with galaxy is that you might have to wait a few hours to run the software depending on server usage. If you have your own server you can install them yourself though! See below for more info: https://galaxyproject.org/blog/2017-10-16-UnicyclerTutorial/
My suggestion is, learn to program and write your own software. It is a maxim of software that no unit of software written by others does what it is that you need software to do. Write your own, and then make it open source.
I strongly disagree with William R. Buckley , it is not required to reinvent the wheel each time you are trying to achieve something bioinformatics-wise.
Andrew Michael Hogan I agree with you, although it highly depends on the available data to make the assembly. Nowadays with long reads sequencing methods (PacBio, Nanopore and so on) and Hi-C we are far from the Illumina monopole for the task of genome assemblies, and with this more and more complicated pipelines are required.
Gautier Richard: And, how long have you been writing software? I have for well into 50 years. Disagree all you want. I maintain that one knows best their field if they can convince a rock (the silicon inside your microprocessor) to perform computations thereof. If you cannot teach a rock to do the work of your field, then you do not really know that work particularly well.
William R. Buckley So does that mean a person who did not ask a specific question, did not explain what actually he need, might not have searched solution for himself on internet, should learn coding and scripting and write his own software to do the job. Does it seems logical ? May be you took Gautier Richard 's comment too personal. I don't know him, but I would perceive his comment as, if you are not into writing codes/software, do not think and its not needed. William R. Buckley you are writing software for 50 years, is that easy? That you would better know. But for myself, I would rather search and try to learn how to use a software instead of writing my own software. Its useless in modern cross-disciplinary science.