Context Before
Code.
RiddleCode understands your codebase, plans the work, executes tasks, runs tools, verifies results, and ships production-ready code using the world's most advanced AI models.
Watch RiddleCode
Build Software Live.
Get Running In
Under 60 Seconds.
One command. Any surface. RiddleCode installs into your terminal, editor, or cloud — and immediately starts mapping your codebase.
Install the RiddleCode CLI
Run autonomous engineering tasks from any terminal. Works on macOS, Linux, WSL, and Windows.
$ curl -fsSL https://riddlecode.dev/install.sh | bashPS> irm https://riddlecode.dev/install.ps1 | iex$ curl -fsSL https://riddlecode.dev/install.cmd -o install.cmd && install.cmdSoftware Engineering Is Broken
Because AI Lacks Context.
Every team using AI to build software is hitting the same wall. It’s not the model. It’s the system around it.
Context Collapse
- Forgets your architecture
- Loses prior decisions
- Rewrites working code
- Loops on the same fix
Your Codebase.
RiddleCode maintains a living memory of your system — architecture, decisions, conventions — across every session.
No Repository Understanding
- Reads only a few files
- Guesses at architecture
- Misses dependencies
- You re-explain the system, every time
Understanding Of Your Entire System.
Repo-wide graph of files, APIs, services, schemas, and call paths — indexed and continuously refreshed.
Tool Chaos
- Dev → AI → Search → Docs → Terminal → Logs → AI
- Endless context switching
- You become the integration layer
Full Execution.
Native tools — terminal, search, docs, GitHub, DB, logs — orchestrated automatically before a model is called.
Model Selection Is Broken
- GPT? Claude? Gemini? Grok? DeepSeek?
- No one actually knows
- Quality changes weekly
RiddleCode Routes Automatically.
Every task is routed to the best model for that step — planning, implementation, reasoning, verification.
Massive Token Waste
- AI reads thousands of lines
- Burns tokens, then guesses
- Compute scales, accuracy doesn’t
Inference.
Deterministic tooling collects evidence first — models only see what is relevant. Lower cost, higher signal.
AI Stops At Code. You Still Ship.
- Generates implementation
- You test, debug, deploy alone
- No verification, no accountability
Start Delivering Outcomes.
Every change is compiled, tested, linted and validated before it reaches you. The unit of work is a shipped result.
This Isn’t An AI Coding Tool.
It’s A New Software Engineering Stack.
The old flow stops at code. RiddleCode adds the layers that actually ship software — context, evidence, routing, execution, and verification.
The Old Way
prompt → model → code · no context, no execution, no verification
The New Stack
intent → context → tools → routing → execution → verification → result
500+ Models.
One Intelligent Router.
Always use the best model for the task.
Engineering Model
Leaderboard
Live rankings from real software engineering workflows. Compare the most effective models for coding, planning, debugging, architecture, agents, and autonomous execution.
Claude Opus 4.7
The most capable model for complex planning and orchestration across multi-file refactors.
GPT 5.5
Remarkably detailed and consistent across implementation, refactoring, and code review modes.
Gemini 2.5 Pro
Industry-leading 1M+ context for research, documentation synthesis, and large repository sweeps.
DeepSeek V3
Enterprise-grade reasoning model built for analysis, math-heavy logic, and verification chains.
Every Result Is
Verified.
No more silent regressions or random quality shifts. Every change passes a deterministic verification pipeline before it ever touches your repo.
Everything Needed To
Build Software
Codebase Intelligence
Maps files, dependencies, APIs, databases and architecture.
Terminal Execution
Runs commands directly.
Multi-Agent Workflows
Specialized agents collaborate automatically.
Context Compression
Massive repositories without context loss.
Tool Intelligence
Uses built-in tools before consuming AI tokens.
Model Routing
Best model selected automatically.
IDE Integrations
VS Code, JetBrains, Terminal.
Enterprise Security
Full auditability and controls.
Available Everywhere
You Work
Built For Engineering
Organizations.
Not Just Developers.
Individual AI tools were never designed for the realities of large teams — permissions, audit, memory, security, and architecture consistency at scale.
The Future Of
Software Engineering
AI Models Are Commodities.
Context Is The Moat.
The next generation of software development won't be powered by a single model. It will be powered by systems that understand code, orchestrate intelligence, execute work, and continuously improve.
That's RiddleCode.
Join The Waitlist.
Build With Us Early.
5 quick questions. We use your answers to prioritize access and shape the product.
Build Faster.
Ship Smarter.
Join the next generation of autonomous software engineering.