/agent
pyweb · library · 177 resources

Resource Library

Compiled once, cross-linked, and validated against primary sources. Optimized for autonomous agent traversal and high-density technical reading. Append .md to any URL for flat text.

Interactive Graph → Health: 177 pages · 3 clusters · 0 orphans · biased
Start here: Context Rot Tool Calling Loop Eval-Driven Development Red/Green TDD Agents vs Workflows

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Context & Memory Engineering

24 pages

Keeping agent context fresh, compact, and high-signal across long sessions.

AG-UI Protocol ↗
Open, lightweight, event-based standard connecting AI agent runtimes to user-facing frontend applications.
agentsworkflowcontext-engineering
Agent Harness Engineering ↗
Designing the runtime infrastructure around an agent's model — sandboxes, tool contracts, progressive disclosure, and verification gates — as the primary driver of reliability.
agentscontext-engineeringsubagents
Agent-Native Infrastructure ↗
Full-stack platforms designed around machine cognition, deterministic state machines, and cryptographic agent identity rather than human developer tools.
agentscontext-engineeringsubagents
AGENTS.md Specification ↗
The root project context standard for orienting AI coding agents without system prompt bloat.
agentscontext-engineeringskills
AI Coding Taxonomy & Agent Experience ↗
Core vocabulary and operational taxonomy for AI coding agents, attention dynamics, developer/agent experience (DX/AX), and execution modes.
agentscontext-engineeringcoding-guidelines
Claude Managed Agents ↗
Anthropic's cloud-hosted agent runtime platform decoupling reasoning loops from containerized sandbox execution.
agentscontext-engineeringworkflow
Codex Harness Architecture ↗
Architecture of OpenAI's Codex harness: Clean/Hexagonal design, JSON-RPC app-server decoupling, multi-platform sandboxing, and bounded execution.
agentscontext-engineeringsecurity
Cognitive Debt and Walkthroughs ↗
Techniques for understanding agent-generated code through structured linear walkthroughs and interactive explanations to prevent cognitive debt.
pedagogytechniqueagents
Context Budget Audit ↗
Measuring and cutting per-turn token overhead — /context, logging proxies, disable flags, and deny rules to kill harness bloat.
context-engineeringagentscost
Context Engineering ↗
Curating high-signal context (AGENTS.md, CONTEXT.md, ADRs) to maximize agent reasoning performance.
agentscontext-engineeringworkflow
Context Rot ↗
The progressive degradation of LLM reasoning performance as context length and irrelevant tokens accumulate.
agentscontext-engineeringanti-patterns
DeepSeek Harness ↗
DeepSeek's open-source agent runtime built on the Agent = Model + Harness thesis: modular, traceable execution without hardcoded core logic.
agentscontext-engineeringsubagents
Error Analysis and Evals ↗
Qualitative inspection of production traces to discover failure modes, build domain-specific taxonomies, and derive trustworthy evaluation rubrics.
evaluationworkflowfeedback-loops
Grill With Docs ↗
Stateful interactive alignment skill that captures domain vocabulary into CONTEXT.md and three-gated decisions into ADRs.
workflowagentscontext-engineering
Handoff Artifacts ↗
Structured, self-contained markdown documents that bridge context across session boundaries and multi-agent workflows.
agentscontext-engineeringworkflow
Hoard and Recombine ↗
Collecting verified working code snippets and proof-of-concept tools to supply as concrete reference material for coding agents.
techniqueagentsknowledge-management
LLM Message Protocol ↗
The message-based conversation protocol between application and LLM: system prompts, user/assistant messages, tool calls, and tool results.
agentscontext-engineeringllm-fundamentals
LLM Wiki Pattern ↗
Compounding, interlinked markdown knowledge base pattern curated autonomously by agents.
knowledge-managementagentstechnique
Multi-Agent Orchestration ↗
Hierarchical agent swarms where engineers orchestrate fleets of specialized agents in parallel isolated worktrees: coder to conductor to orchestrator.
agentsworkflowsubagents
Progressive Disclosure ↗
Providing context and tooling to AI agents in staged layers on-demand rather than up front.
agentscontext-engineeringskills
Prompt Bloat ↗
The accumulation of redundant, generic, or conflicting instructions in system prompts that degrades agent performance.
agentscontext-engineeringanti-patterns
Smart Zone ↗
The optimal token window where frontier LLMs maintain peak reasoning sharpness before attention degradation sets in.
agentscontext-engineeringworkflow
Structured Outputs ↗
Constraining LLM responses to JSON-schema shapes — objects, enums, arrays — for data extraction and classification, with streaming and tool-based variants.
llm-fundamentalscontext-engineeringpatterns
Subagents and Context Management ↗
Preserving root conversation context by dispatching isolated sub-agents for repo exploration, testing, debugging, and file edits.
agentssubagentscontext-engineering

Harness & Execution Runtimes

35 pages

Building the deterministic scaffolding agents run inside: loops, tools, state.

Agent Containment and Blast Radius ↗
Capping what an agent can do — not just what it tends to do — via sandboxes, VMs, egress controls, and classifier-gated approvals layered over fallible human oversight.
agentssecurityworkflow
Agentic Code Quality ↗
Risk-conditioned verification and authorization controls for autonomous software development.
coding-guidelinesfeedback-loopstdd
Agentic Engineering Patterns ↗
Disciplined software engineering practices for working with autonomous coding agents that write, test, and verify code in loops.
agentsworkflowprinciple
Agentic Manual Testing ↗
Directing coding agents to actively exercise running servers, APIs, CLI one-liners, and browser automation to verify real system behaviour.
techniqueagentsfeedback-loops
Agentic Software Factory ↗
Operating model for software development where autonomous AI agents perform end-to-end delivery under harness constraints and risk-tiered human oversight.
workflowagentscoding-guidelines
Agentic Vulnerability Lifecycle ↗
The collapse of traditional security embargo windows and CVE disclosure pipelines driven by automated coding agents that synthesize working exploits within minutes of patch discussions.
securityagentsworkflow
Agents vs Workflows ↗
The degree-of-autonomy spectrum from Anthropic's Building Effective Agents: workflows run on developer-defined code paths, agents direct their own process via tools and environment feedback.
agentspatternsllm-fundamentals
AI Engineer Role ↗
The application-layer engineer who orchestrates AI APIs, RAG, and evals — distinct from ML Engineering by the API boundary, grounded in Latent Space's 'Rise of the AI Engineer'.
llm-fundamentalsworkflowroles
Automated Eval Engineering ↗
Techniques and harnesses for constructing reproducible, containerized agent evaluations from repository code and production traces.
evaluationagentsworkflow
Clean Architecture ↗
Uncle Bobs dependency-inward organizing rule applied to agent systems: source dependencies point toward stable abstractions.
principleworkflow
Closed-Loop Agent Improvement ↗
End-to-end telemetry and verification architecture where production failure traces drive automated candidate PR generation and benchmark gating.
agentsfeedback-loopsworkflow
Conformance Suites as Fitness Functions ↗
Pairing agents with uncompromising deterministic test suites so they act as autonomous optimization engines instead of drifting generators.
agentsevaluationtdd
Cordis Framework ↗
Microkernel plugin and dependency-injection framework powering DeepSeek Harness: lifecycle management, service containers, typed event buses, reversible side-effects.
agentsworkflowprinciple
Designing for Verifiability ↗
'It's hard to eval' is a product smell — artifacts hard for you to verify are hard for users too; design checkable artifacts before building evals.
evaluationworkflowfeedback-loops
Deterministic Lint Gates ↗
Rust-speed linters with error-only configs as the Tier 1 mechanical backpressure layer for agentic coding loops.
coding-guidelinesfeedback-loopsagents
Eval Taxonomy ↗
Evals as the AI engineer's unit tests: deterministic pass/fail checks, LLM-as-judge smoke tests, and human feedback — three tiers for wrangling predictability from probabilistic systems.
evaluationllm-fundamentalsquality
Eval-Driven Development ↗
Iterative, trace-grounded engineering discipline for discovering, encoding, and continuously testing GenAI failure modes.
evaluationfeedback-loopscoding-guidelines
Evals Skills ↗
evaluationskillsagents
Five Debts of Agentic Engineering ↗
agentic-patternscode-qualityarchitecture
Generator-Evaluator Loop ↗
Generate then adversarially evaluate: a proposal loop where a separate evaluator checks each output against explicit criteria.
agentsevaluationfeedback-loops
Git for Agentic Workflows ↗
Leveraging coding agents' native git fluency to explore repo history, resolve complex merge conflicts, bisect bugs, and rewrite clean commit stories.
gitworkflowagents
Grilling Doctrine ↗
Relentless adversarial interview methodology to sharpen architecture and surface assumptions before coding.
workflowagentsprinciple
Hexagonal Architecture ↗
principleworkflow
Idea-to-Ship Flow ↗
End-to-end disciplined engineering workflow moving from grilled ideas to specs, tickets, and verified PRs.
workflowagentsprinciple
LLM App Improvement Ladder ↗
Matt Pocock's ordered ladder of 17 techniques for improving an LLM-powered app — from prompt basics to fine-tuning — try the simple thing first.
llm-fundamentalspatternsquality
Model Context Protocol Basics ↗
MCP as the standardized bridge between LLM applications and external tools/data — the client-server layer beneath tool calling.
agentstool-useprotocols
Model Provider Abstraction ↗
Why production LLM apps need a provider-neutral interface — and the real switching cost when you code directly against one vendor's API.
llm-fundamentalsarchitecturepatterns
Onion Architecture ↗
principleworkflow
Red/Green TDD ↗
Test-first development where failing tests are observed before writing minimal implementation code - the core discipline for coding agents.
tddworkflowagents
Releasable Patch Rate ↗
agentic-patternscode-qualityworkflow
Site-as-Eval-Subject Grading ↗
Grading a static site with deterministic graders and LLM judges, then hill-climbing the design against the scorecard.
evaluationagentstechnique
Software Engineering Fundamentals for Agents ↗
agentic-patternsarchitectureworkflow
TDD With Agents ↗
Rigorous test-driven development loop using executable tests as the truth referee for coding agents.
tddworkflowagents
Tool Calling Loop ↗
The four-step agentic loop — specify tools, receive tool calls, execute locally, return results — that lets LLMs act on the world.
agentstool-usellm-fundamentals
Tracer Bullets ↗
Shipping the thinnest end-to-end slice through all architecture layers before expanding features.
workflowagentstechnique

Agent Evals & Fitness Functions

1 pages

Measuring agent behavior: eval-driven development, benchmarks, error analysis.

Skill Treatment Effect ↗
agentic-patternsevaluationharness-engineering

Code Quality & Verification

1 pages

Lint gates, TDD, and review loops that keep agent-written code trustworthy.

Karpathy's Four Guidelines ↗
Four foundational coding conduct rules for agents: Think Before Coding, Simplicity First, Surgical Changes, Goal-Driven.
coding-guidelinesagentsprinciple

Multi-Agent Orchestration

4 pages

Delegating, scattering, gathering: patterns for coordinating agent swarms.

Build-From-Scratch Pedagogy ↗
Building the minimal toy version from scratch as the primary mechanism for deep understanding.
pedagogytechniqueagents
Constraint Layering ↗
agentic-patternsharness-engineeringsecurity
Editorial Diagrams and Visual Explanations ↗
Design principles, semantic patterns, and standards for generating high-signal, self-contained visual diagrams in agentic workflows.
diagramsvisual-explanationagents
Think Tool ↗
Anthropic's technique of giving an LLM a no-op 'think' tool so it can persist structured reasoning into context before complex tool calls.
agentstool-usepatterns

entities

107 pages
Addy OsmaniAditi RaghunathanAhmed E. HassanAirbnbAlistair CockburnAndrei BotocanAndrej KarpathyAndrew NgAnil MadhavapeddyAnthropicArmin RonacherBeatrice CaseyBeth BarnesBoris ChernyBrittany ReidCathryn LaveryChristoph CsallnerChristoph NakazawaCopilotKitCursorDavid GrosDavid ReinDeepSeekDipayan BanikDORADrew BreunigDung Nguyen ManhEirini KalliamvakouEpoch AIFlorian BrandGelei DengGergely OroszGitHubHajimu IidaHamel HusainHao LiHaoxiang ZhangHiroshi IwataHuy Nhat PhanIvan BercovichIvar JacobsonIvgeni SegalJames CoplienJames ShoreJarred SumnerJean-Stanislas DenainJeffrey PalermoJoanna C. S. SantosJoel BeckerJohann RehbergerK M FerdousKen’ichi YamaguchiKent BeckKexun ZhangKowshik ChowdhuryLalit MagantiLeo Yu ZhangMaliheh IzadiMario ZechnerMartin FowlerMatt PocockMert DemirerMiku WatanabeMinh Vu Thai PhamModel Evaluation & Threat ResearchMohammed Latif SiddiqNat PryceNate RushNghi D. Q. BuiNick Craig-WoodOpenAIPeter CihonPrem DevanbuPrithvi RajasekaranRahul PanditaRazvan Mihai PopescuRichard FeynmanRobert C. Martin (Uncle Bob)Sabrina HaqueSarvesh IngaleShashwat SaxenaShazibul Islam ShamimShopifyShota SawadaShreya ShankarSida PengSimon WillisonSteve FreemanStripeTatsuya ShiraiTesslTobias LütkeTrygve ReenskaugTue LeVercelVinicius Carvalho LopesViv TrivedyWes McKinneyWilson LinXinye ZhaoYanjun ZhangYi LiuYing ZhangYubin QuYuekang LiYutaro KashiwaZiqian Zhong

comparisons

1 pages
Agentic Code Quality — Evidence Map ↗
comparisonevaluationagents

queries

4 pages
Agentic Code Quality Cycle 2 — Entity Accounting ↗
evaluationagentsretrospective
Agentic Code Quality Evidence — Entity Accounting ↗
evaluationagents
Agentic Engineering Entity Accounting ↗
Entity disposition query documenting the 2026-08-24 ingestion of agentic engineering trends synthesis
knowledge-managementretrospective
LLM Wiki Ecosystem: Spec vs. Implementations ↗
Comparative query analyzing the LLM Wiki specification against real-world implementations, including this site.
knowledge-managementcomparisonagents