Obviously $X/(X+Y)$ is between $0$ and $1$. Let (lower-case) $w$ be a number between $0$ and $1$.
$$
\frac{X}{X+Y} \le w \text{ if and only if } (1-w)X \le wY.
$$
We will find this probability.
The conditional probability that $Y\ge\dfrac{(1-w)}{w}X$, given the value of $X$, is
$$
e^{-(1-w)X/w}.
$$
The probability we seek is then the expected value of that:
\begin{align}
\operatorname{E} e^{-(1-w)X/w} & = \int_0^\infty e^{-(1-w)x/w} \Big(e^{-x}\,dx\Big) \\[10pt]
& = \int_0^\infty e^{-x/w} \, dx \\[10pt]
& = w.
\end{align}
In other words, this random variable is uniformly distributed between $0$ and $1$.
Second method: The equality $Y=\frac{1-w}{w}X$ is a straight line through the $(X,Y)$-plane, passing through $(0,0)$ and having positive slope.
We can let $y$ go from $0$ to $\infty$ and then for any fixed value of $y$, let $x$ go from $0$ to $\frac{w}{1-w}y$
\begin{align}
& \int_0^\infty \left(\int_0^{wy/(1-w)} e^{-y} e^{-x} \,dx \right) \, dy \\[10pt]
= {} & \int_0^\infty e^{-y}\left(1-e^{-wy/(1-w)}\right) \, dy \\[10pt]
= {} & \int_0^\infty e^{-y} - e^{-y/(1-w)} \, dy \\[10pt]
= {} & 1 - (1-w) \\[10pt]
= {} & w.
\end{align}