Opus 4.5 Epic Mode: The BEST WAY to DO 10X BETTER CODING with Claude Code!

Epic Mode in Tracer: A Detailed Overview

Key Concepts:

• Epic Mode: A collaborative artifact management system within Tracer for structured AI-assisted project workflows.
• Specs: Living documents capturing requirements, design decisions, and technical planning (e.g., PRDs, technical documentation, API specifications).
• Tickets: Actionable work items derived from Specs, representing concrete implementation tasks with acceptance criteria and status tracking.
• Elicitation-Driven Approach: AI actively asking clarifying questions to surface constraints and “invisible rules” during project definition.
• Context Preservation: Maintaining full awareness of related artifacts, decisions, and conversations throughout the project lifecycle.
• Living Documents: Specs that evolve alongside project understanding, reflecting changes and new information.

I. The Problem with Traditional AI-Assisted Development

The speaker highlights a key limitation when using Tracer (an AI code planning and verification tool) for larger projects. While Tracer’s phase-based workflow (chatting, planning, handing off to Claude, verifying) was effective, it lacked cohesion. Plans and tickets existed within Tracer but weren’t interconnected. Context from one phase wasn’t automatically carried over to the next, leading to potential disconnects and requiring manual management of project elements. This was particularly problematic for complex projects like full authentication systems or complete features. The speaker states, “It worked, but it felt disconnected.”

II. Introducing Epic Mode: A Collaborative System

Epic Mode addresses this issue by introducing a collaborative artifact management system built around structured workflows. It moves away from a single, quickly outdated master document and instead utilizes a “system of many specs.” These specs are focused documents addressing specific project aspects. Two primary artifact types are central to Epic Mode:

• Specs: High-level documents detailing requirements, design, and technical planning. Examples include Product Requirements Documents (PRDs) defining the problem and desired outcomes, technical documentation outlining architecture, design specifications for user flows, and API specifications for contracts. Specs are designed to be living documents, evolving with the project’s development.
• Tickets: Actionable work items translating specs into concrete implementation tasks. Each ticket includes clear acceptance criteria and status tracking (To Do, In Progress, Done), effectively functioning as a built-in project management system.

III. The Epic Mode Workflow: A Four-Stage Process

The Epic Mode workflow consists of four distinct stages:

1. Select a Guided Workflow Structure: Tracer provides templates for common scenarios, eliminating the need to start from scratch.
2. Provide Requirements/Problem Statement: The user defines the project’s goal, similar to previous Tracer workflows.
3. AI-Assisted Dialogue (Elicitation): This is a crucial stage. The AI doesn’t simply generate a plan; it actively engages in a dialogue, asking clarifying questions to uncover constraints and “invisible rules” – assumptions that might not be explicitly stated. This “elicitation-driven approach” aims to minimize surprises later in the development process.
4. Artifact Hand-off & Verification: Selected artifacts (specs and tickets) are handed off for implementation. Built-in verification continuously validates the implementation against the defined specs, providing specific fix instructions if discrepancies are found.

IV. Context Preservation: The Core Advantage

The speaker emphasizes that context preservation is the defining feature of Epic Mode. Every spec and ticket maintains awareness of related artifacts, previous decisions, and conversations. This eliminates the common issue of the AI lacking historical context when starting a new coding session. As the speaker explains, “With epic mode, that context is baked into the artifacts themselves.” This ensures the AI understands the project’s history and rationale behind decisions.

V. Real-World Example: Building a Movie Tracker App

The speaker demonstrates Epic Mode by initiating a new Epic for building a movie tracker application.

• Initial Setup: The user specifies the app’s requirements: using the TMDB API for movie data and local storage for watchlists and favorites.
• Elicitation in Action: Tracer immediately begins asking clarifying questions, leading to the generation of a Product Requirements Document (PRD) outlining the problem statement, target users, core features (search, watchlist, favorites), and technical constraints.
• Creating Related Specs: The user then creates additional specs, including a technical architecture spec (TMDB integration, API rate limits, data structure) and a design spec (movie card layouts, watchlist interface). The AI leverages existing context from the PRD when generating these specs.
• Generating Tickets: Tracer suggests implementation tickets based on the specs, such as “Set up TMDB API integration with proper error handling” and “Implement local storage service for watchlist persistence.” Each ticket includes acceptance criteria derived from the relevant specs.
• Hand-off and Verification: Tickets are handed off to Claude code with full context, enabling more informed code generation. Verification ensures the implementation aligns with the defined specs, providing specific feedback if needed.
• Handling Change: The example illustrates how changes (e.g., adding a backend for cross-device syncing) are handled by updating the spec, automatically propagating the change to related tickets.

VI. Integration with Autonomous Loops (YOLO Mode)

Epic Mode integrates with autonomous coding loops like YOLO mode. The AI agent within YOLO mode gains access to the rich context provided by the specs and tickets, understanding what it’s building, why it’s building it, and the acceptance criteria for success.

VII. Personal Experience and Conclusion

The speaker shares their positive experience using Epic Mode for a week, noting that it transforms the development process from managing disconnected tasks to managing a cohesive project. They highlight the value of the elicitation process in preventing scope creep and the importance of persistent context. The speaker concludes by recommending Epic Mode for projects beyond simple scripts, especially for teams seeking improved collaboration and context sharing. They state, “If you're working on anything more complex than a single file script, I'd highly recommend giving Epic mode a try.”

Data/Statistics:

• The speaker has been using Epic Mode for approximately one week at the time of the video.
• Epic Mode is included in existing Tracer subscription plans.

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