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+# I Hated Every Coding Agent, So I Built My Own — Mario Zechner (Pi)
+
+**Source URL:** https://www.youtube.com/watch?v=Dli5slNaJu0
+**Type:** Video / Talk
+**Date:** 2026 (approx)
+**Speaker:** Mario Zechner (creator of Pi coding agent, also known as badlogic — libGDX author)
+
+## Why Pi was created
+
+Mario was frustrated by existing coding agents (Claude Code, OpenCode, Codex CLI, AMP) for several reasons:
+
+1. **Feature bloat** — agents pile on features (built-in to-dos, complex tool suites) that aren't needed and add hidden context injection
+2. **Hidden behaviors** — vendors change things under the hood (system prompts, context injection) that make LLMs behave unpredictably with existing workflows
+3. **Poor observability** — hard to see what the agent is actually doing, what context it's using, how much it costs
+4. **Lack of extensibility** — no way for power users to add custom tools or modify behavior without forking
+5. **Approval fatigue** — agents offer either full autonomy or approval for every action; both are bad UX
+6. **Poor context management** — agents like OpenCode rely on session compaction but lose important context
+
+Key quote: *"So obviously they're doing things right, but not for me."*
+
+## Pi's design philosophy
+
+- **Minimal core** — only 4 tools: read file, write file, edit file, bash. That's all you need.
+- **Tiny system prompt** — frontier RL-trained models don't need massive system prompts
+- **Tree-structured sessions** — not linear chat history; sub-agents can branch and read files independently while preserving context/lineage
+- **Full cost tracking** — built-in, not an afterthought
+- **Hot-reloadable TypeScript extensions** — users can define custom tools, UIs, multi-agent setups without modifying core
+- **No hidden context injection** — what you see is what the model gets
+
+## Community extensions
+
+- **pi-annotate** — visual feedback on live websites
+- **pi-messenger** — multi-agent chatroom with custom UI
+- Custom UIs, tool integrations — all as hot-reloadable TS modules
+
+## Performance
+
+On TerminalBench, Pi (with Claude Opus 4.5) scored close to Terminus even before advanced optimizations like compaction.
+
+## Key insight
+
+*"We are in the messing around and finding out stage, and nobody has any idea what the perfect coding agent should look like."* — simplification can lead to effective performance without unnecessary complexity.
+
+## Related
+
+- Pi website: https://pi.dev/
+- Pi GitHub: https://github.com/earendil-works/pi
+- Pi is part of OpenClaw ecosystem
+- Mario Zechner is also the author of libGDX (Java game dev framework)