AI Coding Agents

Modern software development is moving faster than ever, and AI coding assistants have become essential for maintaining a competitive edge. Ascendient Learning’s hands-on training teaches developers how to seamlessly integrate these tools into their daily workflows. We move beyond basic autocomplete, empowering your team to use AI as a true pair programmer to navigate complex syntax, debug legacy codebases, and automate boilerplate tasks.

Our curriculum focuses on advanced Prompt Engineering techniques, such as Chain-of-Thought, to maximize the accuracy of Large Language Models (LLMs). Learners will master integrations across AI-first IDEs and terminal tools, utilizing them for robust test generation and code documentation.

Crucially, our training addresses risk management to move teams beyond casual "vibe coding." We teach developers how to balance model performance and cost, keep a "human in the loop" to prevent AI hallucinations, and mitigate technical debt
ensuring you speed up delivery without sacrificing security or architectural integrity.

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To get an unbiased comparison of AI coding tools, read our guide, The AI Coding Wars: Which Tool Should You Use?  Watch our ROI in AI-Assisted Development: Reality vs. Hype webinar to see if your metrics for success make sense.

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12 results found for "AI Coding Agents"

  • Generative AI Topic: AI & Agentic AI | Code: AIC-1101

    Foundations of AI Coding Agents with Claude Code (Course)

    AIC-1101

    Run Claude Code as a capable AI coding agent rather than an autocomplete tool. AI coding agent architecture covers context windows, token limits, the plan-execute-iterate cycle, autonomous file and...

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  • Generative AI Topic: Agile and DevOps | Code: AIC-2103

    Advanced GitHub Copilot Techniques (Course)

    AIC-2103

    Tune GitHub Copilot for project-scale customization, multi-agent task management, and MCP integration. Customization covers settings, custom instructions, repository and organization configuration,...

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  • Generative AI Topic: AI Coding Agents | Code: AIC-1105

    Foundations of AI Coding Agents with Kiro (Course)

    AIC-1105

    Run Kiro as a capable AI coding agent rather than an autocomplete tool. AI coding agent architecture covers context windows, token limits, the plan-execute-iterate cycle, autonomous file and terminal...

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  • Generative AI Topic: Cloud | Code: AIC-1104

    Foundations of AI Coding Agents with Amazon Q Developer (Course)

    AIC-1104

    Run Amazon Q Developer as an AWS-aware AI coding agent rather than an autocomplete tool. AI coding agent architecture covers context windows, token limits, the plan-execute-iterate cycle, autonomous...

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  • Generative AI Topic: AI Coding Agents | Code: AIC-1106

    Foundations of AI Coding Agents with Google Antigravity (Course)

    AIC-1106

    Run Google Antigravity as a multi-agent AI coding system rather than an autocomplete tool. AI coding agent architecture covers context windows, token limits, the plan-execute-iterate cycle, autonomous...

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  • Generative AI Topic: AI Coding Agents | Code: AIC-1107

    Foundations of AI Coding Agents with Windsurf (Course)

    AIC-1107

    Run Windsurf as a capable AI coding agent rather than an autocomplete tool. AI coding agent architecture covers context windows, token limits, the plan-execute-iterate cycle, autonomous file and...

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  • Generative AI Topic: AI Coding Agents | Code: AIC-1103

    Foundations of AI Coding Agents with Cursor (Course)

    AIC-1103

    Run Cursor as a capable AI coding agent rather than an autocomplete tool. AI coding agent architecture covers context windows, token limits, the plan-execute-iterate cycle, autonomous file and...

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  • Generative AI Topic: Agile and DevOps | Code: AIC-2102

    Spec-Driven Development with GitHub Spec Kit (Course)

    AIC-2102

    Design AI coding around executable specifications through GitHub Spec Kit. Spec Kit foundations and governance cover the spec-first philosophy, the project Constitution that fixes engineering...

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  • Generative AI Topic: AI Coding Agents | Code: AIC-2101

    Spec-Driven Development with OpenSpec (Course)

    AIC-2101

    Design AI coding around executable specifications instead of free-form prompts. Spec-first philosophy and OpenSpec foundations cover why prompting alone falls short, what changes when specs become the...

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  • Generative AI Topic: AI & Agentic AI | Code: AIC-3101

    Subagents and Agent Teams in Claude Code (Course)

    AIC-3101

    Scale Claude Code beyond single-session use with subagents and coordinated agent teams. Subagent creation and configuration cover what subagents are and when to use them, the built-in subagents that...

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  • Generative AI Topic: DevOps | Code: AIC-2105

    DevSecOps for AI Coding Agents (Course)

    AIC-2105

    Harden DevSecOps for AI coding agents across every lifecycle phase. AI coding agents are framed as an insider-threat surface, with the CIA triad applied to AI-generated code and the OWASP Top 10 for...

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  • Generative AI Topic: Agile and DevOps | Code: AIC-1102

    Foundations of AI Coding Agents with GitHub Copilot (Course)

    AIC-1102

    Run GitHub Copilot as a capable AI coding agent rather than an autocomplete tool. AI coding agent architecture covers context windows, token limits, the plan-execute-iterate cycle, autonomous file and...

    View Course
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