Agentic Coding

83 summarised stories about Agentic Coding, each linking back to the original source. Browse all topics →

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Anthropic OpenAI Claude Code Claude Google Codex

Tuesday, 28 July 2026

Building Non-Interactive Agentic Coding Workflows with Moonshot AI’s Kimi CLI, JSONL Streaming, Testing, and Session Memory

MarkTechPost 2 months ago 36 ● 33 sources

Moonshot AI's Kimi CLI was configured and operated as a fully non-interactive AI coding agent to inspect codebases, identify bugs, autonomously modify source files, generate and run unit tests, and iterate until test suites pass. The workflow used Python 3.13 with an isolated environment, TOML-based API authentication, and a reusable Python wrapper to execute CLI commands programmatically. The tutorial demonstrated end-to-end automation from environment setup through code repair, test generation, structured JSON output parsing, and multi-turn session memory without requiring interactive terminal access.

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AI Automation Agentic Coding

Cursor's Agent Swarm: Cheaper Models Handle Most Coding When Frontier Models Plan

The Decoder 2 months ago 14

Cursor built an agent swarm system that separates cheaper worker models from expensive frontier models used for planning, achieving 1,000 commits per second by dividing cognitive context between roles. In a Rust SQLite implementation benchmark, the hybrid approach (Opus planner with Composer 2.5 workers) scored 73–100 percent while costing $1,339 total, compared to $10,565 for GPT-5.5 running solo at similar quality. By using cheaper models for execution after frontier models establish plans, Cursor reduced codebase sizes by up to 85 percent and cut worker costs from $9,373 to $411 at comparable performance.

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AI Agents Cost Optimization Agentic Coding Cursor

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