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hnlearnable-paradigm

BlastLoop: structure-first altitudes + T1/T2/T3 gates for coding agents

At a glance

Open method: Blast/Mid/Inner write at system/subsystem/local altitude, then fixed T1 structural → T2 bug/ops → T3 adversarial gates with handoff packets—agents get AGENTS.md + prompt files, not a vague “please be careful.” This workflow is listed under learnable-paradigm, coding-agents, quality-gates, workflows, ops.

Agents / tools
BlastLoop, AGENTS.md, coding agents

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Prompt excerpt

Structure first, function second, attack third. AI coding agents make teams faster, but they also make failure faster.
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hnworkflows

AI-DLC: adaptive workflow steering rules for coding agents

AWS Labs open-source (5k+★): one harness-neutral core turns Claude Code/Codex/Cursor/Copilot/Kiro/opencode into structured, verifiable delivery workflows via `aidlc config --harness` + doctor—install script, not a new agent.

AI-DLCaidlcClaude Code+5
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otherrobotics

RAX: coding agents explore robots and compile skills—no demos

RAX (Robot Agent eXploration) lets a frozen LLM coding agent drive real robots via APIs, explore online, and compile successful perception–planning–control loops into reusable programs—no teleop demos or policy training; +37.4% avg vs baselines in sim; open skill libraries per embodiment.

RAXcoding agentsrobot agents
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bloglearnable-paradigm

What 1,866 GitHub projects tell their AI coding agents

Empirical study: 34% of popular active repos ship agent instruction files (AGENTS.md dominant); half exceed ~100 lines; ~3/5 rules could be script-checked but <1/20 name the check—actionable lint: short map, name enforcers, one rulebook.

AGENTS.mdCLAUDE.mdCodex+2
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othermulti-agent

AgentPrism: JS workflow scripts over real coding-agent harnesses

SDK + stdio MCP server run agent()/parallel()/pipeline() scripts that fan out to Claude Code, Codex, OpenCode, or pi via ACP, with journaling, resume, and git-worktree isolation.

AgentPrism@automatalabs/workflows@automatalabs/mcp-server+5
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