What problems do developers face when working with AI agents and chatbots?

💸

AI agents are expensive, require installation and learning tools — and at the same time can change things that don’t need changing.

🕑

When working through web-based chatbots, you have to copy code from the project, paste it into the chat, and bring answers back — all manually and slowly.

How Agentillo Makes Work Easier in Three Steps

1️⃣

Select project files in the extension

Just click on the needed files in your project

2️⃣

The extension generates a prompt for the AI

It automatically gathers context and creates an optimal prompt

3️⃣

Get a response from the AI that integrates into your project at the click of a button

The code immediately appears in the right places of your project

Compare for Yourself

Metric	🧩 Agentillo (Extension)	💬 Regular Chatbot	🤖 IDE Agents
Direct Token Costs	low Requests are formed only with the necessary context.	medium Many repeated requests and manual work.	high Expensive indexing and long contexts.
Hidden Time Costs	low Prompt formation and insertion happen quickly.	high Many manual actions during copy-paste.	medium Setup and indexing waiting time.
Change Control	medium The user applies only what the AI outputs, with a summary of changes. Control is performed via Git after insertion.	low Edits are inserted manually, no report on affected files.	medium Diff available in IDE, but some changes may be background.
Context Accuracy	high Context is formed from selected project files. Requires project architecture knowledge but results are more predictable.	low The model does not know the project structure.	high Good accuracy but depends on indexing.
Privacy and Access	local Only what the user provides — a convenient automation method for private corporate chatbots.	local Only what the user provides.	extended Requires access to IDE and repository.
Team Adoption	easy Install the extension — and start working.	easy Can be used immediately, but not scalable.	complex Requires setup and IDE integration.
Vendor Lock-in	low No difference — use any chatbot: GPT, Claude, Grok, Gemini, DeepSeek, etc.	low You can use any chatbot, but without automation.	high Tied to ecosystem and agent format.
Total Cost of Ownership (TCO)	low Balance between speed, control, and cost. Pay only for needed requests — no infrastructure expenses.	medium Minimal investment but time lost on routine.	high Tokens, licenses, infrastructure, and vendor dependency.

Who Agentillo helps

Developers • Deep Coding

👨‍💻 Deep Coding practitioners

Follow the Deep Coding approach — full control, clear architecture, and awareness. Agentillo lets developers decide which files to change and how, keeping architectural integrity and understanding every modification made by AI.

Companies • Internal chatbots

🏢 Teams without full AI agents

If your company already has its own corporate chatbot but no AI agents — this extension becomes an efficient method for collaborative development with AI. Agentillo connects your existing chatbot to real project workflows, enabling smart interaction with code and improving productivity without complex integrations.

Docs • Product • Content

📝 Technical writers & content editors

Draft, refactor, and sync specs, docs, and release notes directly with code context. Generate style-consistent text and update project documentation effortlessly while keeping everything aligned with the current codebase.

Demo examples

Сreate a project from scratch

It’s convenient to develop frontend and backend at the same time

New features can be integrated

Refactoring can be done conveniently

Agentillo is free. Want to support development?

If the extension helps you save time and money, you can support the project with a donation.

⚡ Agentillo — Chrome extension to say goodbye to your copy-paste routine between chat and project.