The collective intelligence is not an artificial deduction but a way of solving and managing problems, which is more efficient from any individual approach which has many limitations by nature. The intelligence that operates collectively is that which has understood that there are problems that cannot be solved individually but their solution is more significant for our evolution than others’ which are solved in a linear manner. This way it obtains a more holistic approach in order to exceed the limitations of individuality because it realizes that the local doesn’t provide substantially to the whole and this problem creates obstacles to the solution’s methodology. Each step that occurs in the collective level it also has imaginary effects because it combines approaches which form even a strategic mix. The collective intelligence in this manner overcomes also the limitations of automation which cannot make transcendences relevant to the initial code and doesn’t obtain new knowledge because it doesn’t have an evolutionary nature. This is what we realized also in the computers’ area for programming since we proved that methodologies which use genetic algorithms or ant colony systems are more efficient than the traditional approaches because they can escape traps of intermediate solutions which enclave dynamically the system and doesn’t allow it to find the optimum solution, which is more rare and has greater effects in producing a change of phase.