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Augment Code
augmentcode. com > tools > coderabbit-vs-greptile-vs-augment-cosmos

Code Rabbit vs Greptile vs Augment Cosmos: AI Code Review Compared

4+ hour, 11+ min ago  (1362+ words) Code Rabbit leads on platform breadth, Augment Cosmos leads on recall for large codebases, and Greptile's vendor-reported catch rate looks very different on Martian's independent benchmark. Code Rabbit is the right call if you run review across multiple VCS platforms....

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augmentcode. com > learn > graphify-63k-stars-knowledge-graphs

Graphify hits 63. 2 K stars: turning codebases into queryable knowledge graphs

2+ week, 6+ day ago  (588+ words) Ask any AI coding assistant how a specific service connects to your database across a large codebase. It greps through files, misses relationships that aren't obvious from file contents, and gives you a partial answer. The problem is structural. AI…...

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Augment Code
augmentcode. com > guides > async-ai-agent-workflows

How Async AI Agent Workflows Survive Failures

3+ week, 3+ hour ago  (1430+ words) Async AI agent workflows use durable long-running execution. Persistent state checkpointing decouples task submission from completion, so work can survive timeouts, crashes, approvals, and restarts. Agent workflows break synchronous HTTP architectures because API Gateway defaults to a 29-second timeout, Azure…...

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Augment Code
augmentcode. com > guides > agent-learning-flywheel

Agent Learning Flywheel: How AI Agents Improve

1+ mon, 2+ week ago  (1544+ words) The agent learning flywheel is a four-stage continuous improvement architecture (execute " coach " distill " improve) that turns an AI agent's operational experience into better future behavior, compounding performance gains across sessions instead of starting from zero on every run. Today's AI…...

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Augment Code
augmentcode. com > tools > best-ai-agent-evaluation-tools

Best AI Agent Evaluation Tools for Production Teams (2026)

1+ mon, 2+ week ago  (1349+ words) The deeper problem I ran into was what happens after teams catch failures. One engineer corrects an agent prompt, that knowledge stays in their personal config, and the rest of the team rediscovers the same failure next week. When I…...

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augmentcode. com > guides > steve-yegge-8-levels-ai-assisted-development

Steve Yegge's 8 Levels of AI Development: Where's Your Team?

2+ mon, 1+ week ago  (1375+ words) The 8 levels of AI-assisted development, as defined by Steve Yegge, map a spectrum from zero AI usage through autocomplete and chat assistants to full agent orchestration, with each level representing a distinct shift in developer trust, tooling, and daily workflow....

Augment Code
augmentcode. com > guides > why-ai-agents-repeat-questions

Why AI Agents Keep Asking the Same Questions

2+ mon, 3+ week ago  (941+ words) AI coding agents lose context because model weights are frozen, context windows rebuild from scratch, and most tools do not write cross-session memory by default. Manual files like AGENTS. md help, but they drift and consume tokens. Platform-level persistent context…...

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augmentcode. com > guides > spec-driven-ai-code-generation-with-multi-agent-systems

Spec-Driven AI Code Generation With Multi-Agent Systems

9+ mon, 4+ day ago  (664+ words) Enterprise API specifications drift from implementation within weeks, creating integration failures that cost teams days of debugging per incident. Traditional documentation approaches fail because they treat specs as static artifacts. This guide demonstrates how multi-agent systems, such as Intent, maintain…...

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