THE ARCHITECTURE
OF AUTONOMY.
Technical dispatches, deterministic microVM sandboxes, AST-level context engineering, and systems trade-offs from the team building Qbit.
Why We Built Qbit: Moving Beyond Code-Completion to Autonomous Product Engineering
Why code autocomplete hit a ceiling, and how we engineered an autonomous multi-agent harness to turn natural language conversations into production-grade Next.js applications.
Why We Built Qbit: Moving Beyond Code-Completion to Autonomous Product Engineering
Why code autocomplete hit a ceiling, and how we engineered an autonomous multi-agent harness to turn natural language conversations into production-grade Next.js applications.
What is an Agent Harness? The Missing Infrastructure in Coding Agents
Why LLMs alone fail at real-world software engineering, and how execution sandboxes, state management, and tool feedback loops form the harness that makes autonomous coding reliable.
Context Engineering: Managing Token Budgets and Attention in Long-Running Agents
How to manage AST-level code contexts, sliding execution traces, prompt compression, and attention degradation during complex autonomous refactors.
Evaluating Coding Agents Beyond SWE-bench: Why Unit Tests Lie
Why pass@1 on synthetic unit tests doesn't correlate with end-to-end fullstack app generation; visual regression, dynamic runtime verifications, and holistic product evaluation.
Multi-Agent Orchestration in Qbit: Coordinating Hub, Frontend, and Backend Runtimes
How Qbit coordinates specialized supervisor, frontend, and backend agents without deadlock, race conditions, or interface drift.
Deterministic Execution & MicroVM Sandboxes
Analysis of execution feedback loops, memory pruning algorithms, token budget management, and snapshot rollback systems required for production coding agents.
Contract Synthesis & Multi-Agent Collaboration
How Qbit decomposes user prompts into verifiable API contracts, schema validations, component trees, and autonomous test suites without single-prompt context bottlenecks.
Why We Built Qbit: Moving Beyond Code-Completion to Autonomous Product Engineering
Why code autocomplete hit a ceiling, and how we engineered an autonomous multi-agent harness to turn natural language conversations into production-grade Next.js applications.
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What is an Agent Harness? The Missing Infrastructure in Coding Agents
Why LLMs alone fail at real-world software engineering, and how execution sandboxes, state management, and tool feedback loops form the harness that makes autonomous coding reliable.
Access Document
Context Engineering: Managing Token Budgets and Attention in Long-Running Agents
How to manage AST-level code contexts, sliding execution traces, prompt compression, and attention degradation during complex autonomous refactors.
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Evaluating Coding Agents Beyond SWE-bench: Why Unit Tests Lie
Why pass@1 on synthetic unit tests doesn't correlate with end-to-end fullstack app generation; visual regression, dynamic runtime verifications, and holistic product evaluation.
Access Document
Multi-Agent Orchestration in Qbit: Coordinating Hub, Frontend, and Backend Runtimes
How Qbit coordinates specialized supervisor, frontend, and backend agents without deadlock, race conditions, or interface drift.
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