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Add public research docs for design decisions#16

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mpawliszyn merged 4 commits intomainfrom
add-public-research
Feb 27, 2026
Merged

Add public research docs for design decisions#16
mpawliszyn merged 4 commits intomainfrom
add-public-research

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Summary

  • Four research documents covering key design decisions that inform Fowlcon's architecture
  • All content sourced from public repos, academic papers, and documentation
  • No internal references -- safe for the public repo

Research Documents

  • TUI Framework Comparison -- Ink, Bubble Tea, Ratatui, Textual evaluated against Fowlcon's needs (V1.01)
  • Agent Memory Systems -- Beads and alternatives for structured review tree state (V1.01)
  • Agentic Restart Patterns -- Ralph Loop, Reflexion, and fresh-start mode design (V1.0)
  • GitHub PR Review API -- Inline comment positioning, pending reviews, graceful degradation (V1.1)

Why Now

These docs enable continued development planning without access to internal design workspace. They capture the public research that informed the design decisions in the approved spec.

Test plan

  • Grep for internal references (squareup, cash-franklin, sqprod, hackweek, mikepaw, claude-brainstorm) -- all clean
  • All sources are public URLs, papers, or open source repos

🤖 Generated with Claude Code

mpawliszyn and others added 4 commits February 26, 2026 16:16
12 principles for writing effective agent prompts, derived from research
on multi-agent orchestration, cognitive science, LLM behavioral studies,
and production agent tools. Covers:

- Agent-as-tool over agent-as-peer (Anthropic recommendation)
- Format constraints as behavioral control (Aider: 3x improvement)
- Negative constraints before positive instructions (RPI pattern)
- Named anti-rationalization tables (Superpowers pattern)
- Mechanical verification over self-assessment
- Cognitive load limits for tree structure (Miller/Cowan research)
- Unified diff format for agent consumption (Diff-XYZ benchmark)
- Fresh start design for long sessions (39% multi-turn degradation)
- Supervisor mode for parallel agents
- The reviewer as protagonist (anti-automation-bias)

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Comprehensive research summary covering the evidence base behind Fowlcon
design decisions. Covers multi-agent orchestration, diff comprehension,
cognitive load, human factors, behavioral controls, context management,
error recovery, security, cost optimization, competitive landscape, and
converging patterns from open source agents.

All sources are public (papers, official docs, open source repos).

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
…nd GitHub API

Four research documents covering key design decisions:
- TUI framework comparison (Ink, Bubble Tea, Ratatui, Textual)
- Agent memory systems (Beads and alternatives for review tree state)
- Agentic restart patterns (Ralph Loop, Reflexion, fresh-start mode)
- GitHub PR Review API (inline comment positioning for V1.1)

All content sourced from public repos, papers, and documentation.
No internal references.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
18 tasks across 7 phases: format design (complete), shell scripts
(complete), worker agents, concept researcher, orchestrator,
detector/install, and integration testing. Phase 1 status reflects
actual merged work. No internal references.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
@mpawliszyn mpawliszyn merged commit fe54a7a into main Feb 27, 2026
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