Qodo

Why More Context Makes Your Agent Dumber and What to Do About It — Nupur Sharma, Qodo

Jun 8, 2026 · 26:27

Nupur Sharma from Qodo explains why giving an AI agent more context often makes it dumber, describing the 'U curve' where models attend only to the start and end of inputs while dropping the middle. She covers practical fixes: iterative retrieval, hierarchical summarization, and self-correction with honest cost tradeoffs. The talk introduces the 'orchestration paradox'—smart models waste most tokens figuring out how to solve a problem rather than solving it—and Qodo's 80/20 hybrid: high-reasoning models for open-ended discovery, lighter deterministic models for validation. Sharma walks through Qodo's code review architecture: a context collector feeds specialized agents (security, code quality, etc.), a judge node recombines results against PR history, and every accepted or rejected suggestion shifts weighting for future reviews.

The State of AI Code Quality: Hype vs Reality — Itamar Friedman, Qodo

Dec 11, 2025 · 21:15

Itamar Friedman, CEO of Qodo, argues that while AI code generation boosts productivity, it has a glass ceiling unless organizations invest in agentic quality workflows and context. Drawing on reports from Qodo, Sonar, and Pharos, he reveals that 60% of developers say a quarter of their code is AI-generated, yet 67% have serious quality concerns, leading to 42% more time fixing bugs and 35% project delays. He notes that AI code review tools double trust and quality gains, and that better context—including standards and best practices—is the top request from developers. Friedman recommends automated quality gateways, intelligent code review, and testing, warning that without dynamic quality processes, the promised 2x productivity remains elusive.

Vibe Coding with Confidence — Itamar Friedman, Qodo

Aug 6, 2025 · 20:55

Itamar Friedman, CEO of Qodo, argues that the command-line interface (CLI) is the future for achieving 'vibe coding with confidence' in enterprise software development. He contrasts vibe coding's greenfield success with the challenges of large codebases, where context, workflows, and multi-agent collaboration are essential. Friedman explains Qodo's multi-agent architecture, including tools for code review (Qodo Merge) and coverage (Qodo Cover), and announces the soft launch of a new CLI tool that lets developers create and pipe agents, supporting MCP and A2A protocols. He envisions a future 'swarm of agents' each specialized with credentials and best practices, enabling end-to-end workflows across the SDLC. The episode emphasizes moving from chat-based agents to command-driven multi-agent systems for reliable, high-quality code generation.