Agent Loop
A 3-day remote or Damascus onsite workshop for software teams adopting Codex, Claude Code, Cursor, GitHub Copilot, or any modern coding agent workflow.
Agent Loop helps software teams turn scattered AI coding tool usage into a shared, repeatable workflow for real product work.
Build a shared understanding of what AI coding agents are good at, where they fail, and how engineers should supervise them.
Practice repeatable workflows for planning tasks, loading context, prompting, reviewing diffs, testing, and correcting bad agent output.
Apply the workflow to your team's real Node-based codebase. Your team runs the prompts in its own environment while Agent Loop guides the process.
Works with your chosen Node framework and your preferred AI coding tool.
Book a fit call →
# Agent task
Goal: Add validation to the checkout endpoint
Context: Express route, service layer, existing tests
Constraints: Small diff, no schema rewrite
Agent loop: plan small steps, edit, test, explain diff
Human loop: review assumptions, inspect changes, approve
# Repeat with tighter prompts until the change is readyThe workshop teaches a practical loop for using coding agents on real tickets: define the task, give useful context, supervise the edits, test the result, and review the final diff before it reaches production.
The goal is not to push one vendor or promise magic productivity gains. It is to help your team use AI coding agents consistently on real work.
Give the team one practical way to plan tasks, prompt agents, review changes, and verify results.
Use the coding agent your team prefers, including Codex, Claude Code, Cursor, GitHub Copilot, or another modern workflow.
Apply the workflow to your real Node-based codebase instead of practicing only on abstract examples.
Build habits for supervising edits, checking diffs, running verification, and deciding when human judgment stays in control.
A practical process your team can use for planning work, prompting agents, supervising edits, and reviewing diffs.
Prompt patterns for scoping tasks, adding context, asking for tests, debugging output, and tightening agent instructions.
Lightweight guidance the team can keep using after the workshop: when to use agents, how to verify work, and when to stop.
Guided application on your Node-based codebase, with your developers running prompts in their own environment.
A clearer way to inspect agent-written code, catch weak assumptions, and keep human judgment in the loop.
It is a 3-day workshop for software teams that want a shared, practical workflow for using AI coding agents on real Node-based codebases.
It is for software development teams working on a Node-based codebase. No prior AI coding-agent experience is required.
Day 1 is a mini-course on coding agents. Day 2 covers practical workflows and the prompt cheat sheet. Day 3 applies the workflow to your team's real Node-based codebase.
The workshop is tool-flexible. It can work with popular options like OpenAI Codex, Claude Code, Cursor, GitHub Copilot, or another coding agent your team chooses.
No. For client-codebase training, we do not need direct access to your repository. We help your team create prompts and workflows that your developers run inside their own environment, with your team keeping control of repo access and tooling.
No. The workshop starts with the fundamentals and then moves into practical workflows and codebase application.
Remote workshops are available for teams in Syria. Onsite workshops are available in Damascus.
Pricing is scoped after a fit call because it depends on team size, delivery format, prep depth, and codebase complexity.
Email hello@agentloop.pro. The fit call covers team size, Node stack, current AI-tool usage, and candidate workflows for the codebase training session.
We will discuss your team size, Node stack, current AI-tool usage, delivery preference, and candidate workflows for the codebase session.
Remote in Syria. Onsite available in Damascus.