Refers to AI agents that plan multi-step actions and act autonomously with minimal or no human intervention, based on a user’s objective.

Google’s coding agent Jules can fix bugs, run tests, and build new features autonomously based on its understanding of a user’s project.

To use Jules, developers have to give it access to their repository of code stored in developer platform GitHub.

Once that’s done, coding is done using prompts in natural language, such as “Add animation of a loading spinner while a user’s profile is being retrieved”, or “Fix an internal server error message”.

Jules will then suggest a solution for users to approve.

To achieve an ideal outcome, prompts should be specific and not vague, such as “Fix everything” or “Optimise code”.

The agent can also scan the developer’s codebase to suggest improvements.

Social networking site for professionals LinkedIn’s Hiring Assistant AI agent helps recruiters search the platform’s database for potential candidates and evaluate talent autonomously, based on specified hiring criteria.

To use LinkedIn’s Hiring Assistant, recruiters must first describe their ideal candidate for the available position, with details such as past work experience, technical and soft skills, and educational level.

Next, the agent searches LinkedIn’s database, shortlists suitable candidates, and sends customised messages to each candidate.

Recruiters can also use the agent to conduct pre-screening with candidates to get basic information such as the candidate’s expected start date, interview readiness, and status of job search.

Refers to AI agents that plan multi-step actions and act autonomously with minimal or no human intervention, based on a user’s objective.

Google’s coding agent Jules can fix bugs, run tests, and build new features autonomously based on its understanding of a user’s project.

Social networking site for professionals LinkedIn’s Hiring Assistant AI agent helps recruiters search the platform’s database for potential candidates and evaluate talent autonomously, based on specified hiring criteria.

To use Jules, developers have to give it access to their repository of code stored in developer platform GitHub.

To use LinkedIn’s Hiring Assistant, recruiters must first describe their ideal candidate for the available position, with details such as past work experience, technical and soft skills, and educational level.

Once that’s done, coding is done using prompts in natural language, such as “Add animation of a loading spinner while a user’s profile is being retrieved”, or “Fix an internal server error message”.

Next, the agent searches LinkedIn’s database, shortlists suitable candidates, and sends customised messages to each candidate.

Jules will then suggest a solution for users to approve.

To achieve an ideal outcome, prompts should be specific and not vague, such as “Fix everything” or “Optimise code”.

Recruiters can also use the agent to conduct pre-screening with candidates to get basic information such as the candidate’s expected start date, interview readiness, and status of job search.

The agent can also scan the developer’s codebase to suggest improvements.

Refers to AI agents that plan multi-step actions and act autonomously with minimal or no human intervention, based on a user’s objective.

Google’s coding agent Jules can fix bugs, run tests, and build new features autonomously based on its understanding of a user’s project.

Social networking site for professionals LinkedIn’s Hiring Assistant AI agent helps recruiters search the platform’s database for potential candidates and evaluate talent autonomously, based on specified hiring criteria.

To use Jules, developers have to give it access to their repository of code stored in developer platform GitHub.

To use LinkedIn’s Hiring Assistant, recruiters must first describe their ideal candidate for the available position, with details such as past work experience, technical and soft skills, and educational level.

Once that’s done, coding is done using prompts in natural language, such as “Add animation of a loading spinner while a user’s profile is being retrieved”, or “Fix an internal server error message”.

Next, the agent searches LinkedIn’s database, shortlists suitable candidates, and sends customised messages to each candidate.

Jules will then suggest a solution for users to approve.

To achieve an ideal outcome, prompts should be specific and not vague, such as “Fix everything” or “Optimise code”.

Recruiters can also use the agent to conduct pre-screening with candidates to get basic information such as the candidate’s expected start date, interview readiness, and status of job search.

The agent can also scan the developer’s codebase to suggest improvements.