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Description
App Version
3.25
API Provider
Anthropic
Model Used
Sonnet 4.1
Roo Code Task Links (Optional)
CONTEXT BROKEN - Roo Fundamentally Unusable
Background
I've tested multiple AI coding assistants: Trae, Augment, Roo, Copilot, and Cline. Roo is promoting multimode features and free trials while basic functionality is completely broken.
Critical Failures
Context Management Disaster
Real example: Asked for simple line correction (adding try/except around a function). After 3-4 minutes wait, Roo added an assert but completely failed to add the try/except block. Cannot maintain basic code context.
Overcomplicated Interface
Buttons everywhere, impossible to coordinate
Multiple entry points = guaranteed bugs
Trying to do multimode when single mode doesn't work
Information overload while LLM context limits are quickly reached
Core Functionality Broken
Console interactions non-functional
Multi-file repository handling: complete disaster
Even simple corrections take forever
Context compression apparently missing or broken
Reality Check
Augment, despite its permission bugs and unclear edit visibility, is still more usable than this overcomplicated mess. You're developing cloud features while users can't get basic line edits to work.
Bottom Line
Stop adding features. Fix the fundamentals. Your multimode ambitions mean nothing when single-mode context handling is broken.
🔁 Steps to Reproduce
OVERCOMPLICATED MESS - Stop Feature Creep, Fix Basics
Background
After testing various AI coding tools (Trae, Augment, Copilot, Cline), I'm trying Roo again. The project is going completely off-track with unnecessary complexity while basic functionality remains broken.
Core Problem: Feature Creep Gone Wrong
Too Many Modes, Zero Mastery
Roo keeps adding multimode features and complicated settings while failing to master even single-mode basic operations. You're creating an overcomplicated interface with buttons everywhere instead of focusing on what actually matters.
LLM Context Overload
The LLM gets flooded with useless information from all these different modes and configurations. Result: cannot handle multi-file repositories coherently. Simple requests like adding try/except around a function take 3-4 minutes and fail to complete properly (adds assert but forgets the try/except block).
Broken Priorities
Developing cloud access while local functionality is broken
Adding multiple interaction modes when single mode doesn't work
Complex UI with scattered controls instead of streamlined workflow
Verbose reports nobody wants to read
Console integration that doesn't function
Reality Check
Cline succeeded by staying simple and focused. Augment, despite its flaws, delivers better results because it doesn't try to do everything at once. You're building a Swiss Army knife when users need a reliable screwdriver.
What Actually Matters
Solid multi-file repository handling - the #1 user need
Fast, reliable LLM interactions without information overload
Simple interface that doesn't confuse the AI with mode complexity
Basic functionality that works before fancy features
Wake Up Call
You're promoting free trials for a product that can't handle elementary code modifications. This is embarrassing. Simplify the architecture, reduce the modes, focus on core LLM mastery.
💥 Outcome Summary
Roo drowns LLM in unnecessary mode complexity, making multi-file operations unreliable. Simple code modifications fail after long waits. Too many features, zero mastery of basics. Even basic UI fails - you can't see which LLM model you're using in the interface, essential visual information is missing. Competitors succeed with focused simplicity while Roo builds an overcomplicated mess. Fix core functionality before adding features.
📄 Relevant Logs or Errors (Optional)
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