# function calling

A technique that lets an AI model identify a function to invoke and provide the arguments needed to execute it, connecting natural-language input with programmatic functions.

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## Building Gigaboy, An Autonomous Software Engineering Agent Orchestrator

DevFeed: [Building Gigaboy, An Autonomous Software Engineering Agent Orchestrator](<https://devfeed.tech/articles/building-gigaboy-an-autonomous-software-engineering-agent-orchestrator-39646.md>)

Original publisher: [Read original article](<https://www.gauravsarma.com/posts/2026-03-02_building-gigaboy-autonomous-software-engineering-agent>)

Published: 2026-03-02T00:00:00Z

Content type: tutorial

Language: en

Sources: [Gaurav Sarma's Blog](<https://devfeed.tech/sources/gaurav-sarma-s-blog.md>)

Topics: [AI Agent](<https://devfeed.tech/topics/ai-agent.md>), [Software Engineering](<https://devfeed.tech/topics/software-engineering.md>), [Linear](<https://devfeed.tech/topics/linear.md>), [GitHub](<https://devfeed.tech/topics/github.md>), [Go Language](<https://devfeed.tech/topics/go-language.md>), [pull-requests](<https://devfeed.tech/topics/pull-requests.md>), [PostgreSQL](<https://devfeed.tech/topics/postgresql.md>), [Redis](<https://devfeed.tech/topics/redis.md>), [function calling](<https://devfeed.tech/topics/function-calling.md>)

Tags: [agent](<https://devfeed.tech/tags/agent.md>), [ai-agent](<https://devfeed.tech/tags/ai-agent.md>), [engineering](<https://devfeed.tech/tags/engineering.md>), [function-calling](<https://devfeed.tech/tags/function-calling.md>), [github](<https://devfeed.tech/tags/github.md>), [go](<https://devfeed.tech/tags/go.md>), [linear](<https://devfeed.tech/tags/linear.md>), [postgresql](<https://devfeed.tech/tags/postgresql.md>), [redis](<https://devfeed.tech/tags/redis.md>), [software-engineering](<https://devfeed.tech/tags/software-engineering.md>)

### AI overview

This article introduces Gigaboy, an autonomous software engineering orchestrator that watches Linear issues, takes tickets marked Todo, explores a repository, makes code changes, opens and iterates on pull requests, and can merge approved work. It explains the limitations of chat-based coding assistants and describes using Linear as the primary interface, with Redis and PostgreSQL supporting the system.

### Source excerpt

. [Building Gigaboy: An Autonomous Agent Orchestrator](building-an-ai-agent-orchestrator-cover...

## Gemini and Angular, Part II: Creating Generative UIs

DevFeed: [Gemini and Angular, Part II: Creating Generative UIs](<https://devfeed.tech/articles/gemini-and-angular-part-ii-creating-generative-uis-37466.md>)

Original publisher: [Read original article](<https://www.angularspace.com/gemini-and-angular-part-ii-creating-generative-uis/>)

Author: Armen Vardanyan

Published: 2026-01-22T13:48:08Z

Content type: tutorial

Language: en

Sources: [Daniel Glejzner](<https://devfeed.tech/sources/daniel-glejzner.md>)

Topics: [Angular](<https://devfeed.tech/topics/angular.md>), [Large Language Model](<https://devfeed.tech/topics/llm.md>), [function calling](<https://devfeed.tech/topics/function-calling.md>), [ui](<https://devfeed.tech/topics/ui.md>), [text-generation](<https://devfeed.tech/topics/text-generation.md>), [JSON](<https://devfeed.tech/topics/json.md>), [App](<https://devfeed.tech/topics/app.md>)

Tags: [angular](<https://devfeed.tech/tags/angular.md>), [article](<https://devfeed.tech/tags/article.md>), [code](<https://devfeed.tech/tags/code.md>), [function-calling](<https://devfeed.tech/tags/function-calling.md>), [gemini](<https://devfeed.tech/tags/gemini.md>), [generative](<https://devfeed.tech/tags/generative.md>), [generative-ui](<https://devfeed.tech/tags/generative-ui.md>), [json](<https://devfeed.tech/tags/json.md>), [llms](<https://devfeed.tech/tags/llms.md>), [model](<https://devfeed.tech/tags/model.md>), [schemas](<https://devfeed.tech/tags/schemas.md>), [structured](<https://devfeed.tech/tags/structured.md>), [text](<https://devfeed.tech/tags/text.md>), [text-generation](<https://devfeed.tech/tags/text-generation.md>)

### AI overview

This tutorial continues a series on LLMs and Gemini by exploring Generative UI in Angular. It describes dynamically rendering interactive Angular components from model responses, combining Gemini with Google's Nano Banana Pro image generation model, and using Angular signal forms. The article emphasizes minimizing boilerplate while balancing model capability, performance, and cost.

### Source excerpt

Let's continue our journey into LLMs and Gemini! In the previous article, we moved beyond simple text generation and learned: how to force the model to speak our language using structured outputs (JSON schemas) how to connect the model to our actual code and logic using function calling

## Gemini and Angular, Part II: Structured Outputs and Tool calls

DevFeed: [Gemini and Angular, Part II: Structured Outputs and Tool calls](<https://devfeed.tech/articles/gemini-and-angular-part-ii-structured-outputs-and-tool-calls-37467.md>)

Original publisher: [Read original article](<https://www.angularspace.com/gemini-and-angular-part-ii-structured-outputs-and-tool-calls/>)

Author: Armen Vardanyan

Published: 2025-11-04T13:42:00Z

Content type: tutorial

Language: en

Sources: [Daniel Glejzner](<https://devfeed.tech/sources/daniel-glejzner.md>)

Topics: [Angular](<https://devfeed.tech/topics/angular.md>), [Large Language Model](<https://devfeed.tech/topics/llm.md>), [function calling](<https://devfeed.tech/topics/function-calling.md>), [Google AI](<https://devfeed.tech/topics/google-ai.md>), [SDKs](<https://devfeed.tech/topics/sdks.md>), [API](<https://devfeed.tech/topics/api.md>)

Tags: [angular](<https://devfeed.tech/tags/angular.md>), [api](<https://devfeed.tech/tags/api.md>), [articles](<https://devfeed.tech/tags/articles.md>), [configuration](<https://devfeed.tech/tags/configuration.md>), [function-calling](<https://devfeed.tech/tags/function-calling.md>), [gemini](<https://devfeed.tech/tags/gemini.md>), [generative-ui](<https://devfeed.tech/tags/generative-ui.md>), [sdk](<https://devfeed.tech/tags/sdk.md>), [tokens](<https://devfeed.tech/tags/tokens.md>)

### AI overview

This tutorial continues a series on using Gemini with Angular. It explains structured outputs and function calling (tool use), showing how these capabilities can support AI-powered UI and UX decisions and provide a foundation for generative UI. The article begins building an Angular writing assistant that compares two paragraph versions through the Gemini API.

### Source excerpt

Let's continue our journey into LLMs and Gemini! In the previous article, we learned how LLMs generate text, what are tokens, what configuration parameters like temperature, topP and so on mean how to create a Google Cloud project, get a Gemini API key, and use the SDK to

## How to Write an Agent

DevFeed: [How to Write an Agent](<https://devfeed.tech/articles/how-to-write-an-agent-41271.md>)

Original publisher: [Read original article](<https://www.evilsocket.net/2025/03/13/How-To-Write-An-Agent/>)

Author: Simone Margaritelli

Published: 2025-03-13T01:36:08Z

Content type: tutorial

Language: en

Sources: [evilsocket](<https://devfeed.tech/sources/evilsocket.md>)

Topics: [AI Development](<https://devfeed.tech/topics/ai-development.md>), [function calling](<https://devfeed.tech/topics/function-calling.md>), [LLMs](<https://devfeed.tech/topics/llms.md>)

Tags: [adk](<https://devfeed.tech/tags/adk.md>), [agent](<https://devfeed.tech/tags/agent.md>), [agent-development-kit](<https://devfeed.tech/tags/agent-development-kit.md>), [agent-evals](<https://devfeed.tech/tags/agent-evals.md>), [ai](<https://devfeed.tech/tags/ai.md>), [autonomous-agents](<https://devfeed.tech/tags/autonomous-agents.md>), [blog](<https://devfeed.tech/tags/blog.md>), [cybersecurity](<https://devfeed.tech/tags/cybersecurity.md>), [evals](<https://devfeed.tech/tags/evals.md>), [evaluations](<https://devfeed.tech/tags/evaluations.md>), [function-calling](<https://devfeed.tech/tags/function-calling.md>), [how-to](<https://devfeed.tech/tags/how-to.md>), [howto](<https://devfeed.tech/tags/howto.md>), [llm](<https://devfeed.tech/tags/llm.md>), [nerve](<https://devfeed.tech/tags/nerve.md>), [nerve-adk](<https://devfeed.tech/tags/nerve-adk.md>), [project-release](<https://devfeed.tech/tags/project-release.md>), [tool-use](<https://devfeed.tech/tags/tool-use.md>)

### AI overview

This tutorial explains how software agents use models to select tools in a loop, and how function calling lets language models invoke tools. It introduces Nerve as a project intended to simplify implementing an agent and discusses executing tool calls and returning their outputs to the model.

### Source excerpt

Hello friends. This blog post was supposed to be the second part of this re

## Giving our AI superpowers with OpenAI Tools

DevFeed: [Giving our AI superpowers with OpenAI Tools](<https://devfeed.tech/articles/giving-our-ai-superpowers-with-openai-tools-40844.md>)

Original publisher: [Read original article](<https://mutto.fyi/posts/2024/06/ai-superpowers-tools/>)

Published: 2024-06-03T00:00:00Z

Content type: tutorial

Language: en

Sources: [Mutt0-ds Notes](<https://devfeed.tech/sources/mutt0-ds-notes.md>)

Topics: [OpenAI](<https://devfeed.tech/topics/openai.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [function calling](<https://devfeed.tech/topics/function-calling.md>), [Azure OpenAI](<https://devfeed.tech/topics/azure-openai.md>), [Databases](<https://devfeed.tech/topics/databases.md>), [API](<https://devfeed.tech/topics/api.md>), [SQL](<https://devfeed.tech/topics/sql.md>), [LangChain](<https://devfeed.tech/topics/langchain.md>), [Retrieval Augmented Generation (RAG)](<https://devfeed.tech/topics/retrieval-augmented-generation-rag.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [ai-tools](<https://devfeed.tech/tags/ai-tools.md>), [api](<https://devfeed.tech/tags/api.md>), [azure-openai](<https://devfeed.tech/tags/azure-openai.md>), [function-calling](<https://devfeed.tech/tags/function-calling.md>), [langchain](<https://devfeed.tech/tags/langchain.md>), [openai](<https://devfeed.tech/tags/openai.md>), [retrieval-augmented-generation-rag](<https://devfeed.tech/tags/retrieval-augmented-generation-rag.md>)

### AI overview

This article explains how the author used OpenAI Tools, also called Function Calling, with Azure OpenAI to build an AI Analyst connected to a complex order database. It contrasts this approach with earlier GPT-3.5, LangChain, SQL, and DAX-based methods, and distinguishes tool calling from Retrieval Augmented Generation.

### Source excerpt

In recent months, I have been experimenting with AI tools to leverage new, powerful technologies and create value. Like you, I am inundated...