Documentation index
AI coding agent tutorials, setup notes, and operating checklists.
A practical checklist for changing the model route behind a coding agent while keeping setup, instruction memory, CometAPI request evidence, and rollback notes reviewable.
A practical guide to mapping coding agent incident evidence before changing prompts, repository instructions, gateway settings, or handoff notes.
A practical checklist for shaping agent-written publishing artifacts around source evidence, clean routing, and CometAPI verification points.
A practical workflow for keeping coding agent guides tied to reachable source pages, scoped instruction files, and reviewable evidence records.
A practical guide for checking CometAPI source packs before coding agent tutorials rely on gateway examples, response calls, or pull request handoffs.
A practical workflow for checking CI permissions, workflow scope, and secret exposure before letting a coding agent start a repair loop.
A practical workflow for capturing retry evidence when a coding agent publication run uses CometAPI and needs incident-ready records.
A practical workflow for checking repository instructions, memory files, task scope, and worktree state before a long coding agent session drifts away from the intended task.
A source-backed checklist for verifying CometAPI gateway evidence before a coding agent tutorial tells readers how to route, test, or document model calls.
A practical checklist for grounding coding agent operations in current docs, explicit assumptions, smoke-test evidence, and safe escalation notes.
A practical checklist for confirming that parallel coding-agent worktrees are clean, reviewable, and safe to remove after handoff.
A practical guide to recording gateway incidents, pull request state, workflow evidence, and CometAPI verification notes before a coding agent publishing run continues.
A practical guide to capturing what a coding agent changed, what it intentionally left alone, and what a reviewer should verify before opening a pull request.
A practical checklist for verifying CometAPI Responses behavior before a coding agent enters a revision loop.
A practical way to capture terminal command evidence so coding agent changes can be reviewed without trusting a summary alone.
A practical guide for testing fallback model routes before a coding agent can rely on them during repository work.
A practical guide to writing repository handoff notes that help coding agents preserve context, evidence, and review readiness across branches, worktrees, and pull requests.
Before your coding agent opens a scheduled publishing window, you need cost evidence from CometAPI to avoid runaway spend. This guide covers how to read the CometAPI pricing and models documentation, run a minimal smoke test against the gateway endpoint, and record the fields that matter for cost accountability.
A practical guide for engineers who run coding agents on long sessions. Covers which memory and instruction files each major agent platform reads at startup, how to review them before a multi-step task, and how to run a quick smoke test that confirms the agent starts with the right context.
A practical guide for tutorial authors and coding agent operators who need to verify CometAPI API contract claims — endpoint paths, auth headers, and request and response fields — before a tutorial reaches readers.
A practical guide to what evidence a coding agent should capture during a run, how to structure that evidence into a ledger a human reviewer can act on, and how to hand it off through a pull request or CI workflow.
Coding agents that both generate and approve their own output introduce subtle quality failures. This guide explains how to route writer and reviewer calls through CometAPI on separate paths, why the separation matters, and how to smoke-test the handoff before relying on it in production.
A practical guide to auditing the scope, placement, and content of instruction files — AGENTS.md, .github/copilot-instructions.md, CLAUDE.md, and similar — so coding agents in your repo stay within intended boundaries.
Agent guides that lack source backing produce instructions agents cannot verify, leading to silent drift, broken CI, and unsafe automation decisions. This article maps the concrete failure modes, explains where guidance gaps originate in real instruction files and memory systems, and gives operators a practical workflow for diagnosing and hardening their own agent guides.
Learn how to define clear stop conditions, retry boundaries, and escalation paths for coding agent tasks so your agent never silently drifts past its authority.
Learn a concrete workflow for collecting review evidence from multiple models before your coding agent posts code changes, covering setup, happy-path and error-path checks, logging fields, and gateway-backed evidence collection.
A practical guide for engineering teams that want a structured approval workflow before a coding agent uses a new model in production publishing pipelines. Covers the rationale, a smoke-test workflow, CI gate integration, and a safe log-record template.
A practical guide to structuring coding agent sessions so every change lands as a clean, reviewable diff — covering branch strategy, git worktree isolation, pull request conventions, and CI checks that keep human reviewers in control.
A practical guide for teams writing coding agent tutorials that include runnable examples — how to keep secrets out of instruction files, workflow YAML, and shared prompts without breaking the examples that readers actually run.
A practical guide to verifying that the Responses API endpoint in your coding agent’s model gateway is correctly configured, returning healthy responses, and failing safely when it should.
Long-running coding agents accumulate stale context, conflicting instructions, and forgotten constraints. This guide explains how to structure memory files, rotate context windows, and verify that your agent is operating from current instructions — not residue from a past session.
When a coding agent retries model gateway calls without guardrails, each attempt carries a token cost that compounds quickly. This guide explains the categories of retry risk, the guardrail controls available at the gateway layer, and a smoke-test workflow for verifying that your setup caps runaway spend before it reaches production.
A practical guide to preserving the artifacts, branches, and audit trails that let teams safely undo or audit coding-agent changes using Git, pull requests, and CI.
A practical guide for operators who want to funnel coding agent review steps — PR analysis, lint checks, test failure explanations — through CometAPI endpoints without losing conversation context or accumulating stale endpoint references.
A practical guide to structuring AGENTS.md, CLAUDE.md, Copilot instructions, and git worktrees so coding agents receive accurate, scoped context for every task.
A practical guide for coding agent writers who need to verify that their model gateway handles fallback conditions safely — covering endpoint-family checks, auth signal tests, error-path logging, and a repeatable smoke-test workflow.
A practical guide to running multiple coding agents in parallel using git worktrees, structured handoff conventions, and PR-based review gates — so each agent works in isolation and hands off safely without overwriting another agent’s work.
A practical guide to routing coding agent code-review calls through a multi-model API gateway so that fast checks and deep analysis land on the right models, stay observable, and do not drift when upstream endpoints change.
How to structure a coding agent CI repair loop: detect a failing CI run, hand the failure context to an agent, validate the fix, and gate the PR without losing evidence or spinning into runaway retry cycles.
Practical cost-control patterns for teams running coding agents through a model gateway, covering spend guards, per-agent token budgets, CI-integrated spend checks, and verification steps to confirm your gateway enforces the limits you configure.
A practical guide to choosing and configuring model routes for coding agent workflows, covering task-type mapping, instruction-file conventions, CI integration, and gateway setup.
How to design and operate fallback routing for coding agent model calls so that a single provider outage or quota exhaustion does not stall your agent pipeline. Covers priority lists, retry logic, error-path detection, and smoke-test workflow.
Coding agents read instruction files — AGENTS.md, CLAUDE.md, .github/copilot-instructions.md, and memory files — to understand what tools, workflows, and conventions are available. When those files drift from the actual runtime environment, agents make confidently wrong decisions. This guide explains what prompt registry drift is, how it appears across popular agent runtimes, and how to detect and prevent it with CI-backed drift checks.
A source-checked migration checklist for moving coding agents toward an OpenAI-compatible gateway while preserving repository instructions, secret boundaries, endpoint-family tests, and smoke-test evidence.
A practical GitHub Actions triage workflow for asking a coding agent to reproduce, explain, patch, and hand off CI failures.
A source-backed operating guide for routing coding agent writer, reviewer, critic, and fallback calls through a model gateway without confusing Responses, Chat Completions, Claude messages, secrets, or publish gates.
A practical rule set for assigning parallel coding agents to separate Git worktrees, branches, and pull request handoffs.
A practical workflow for checking coding agent outputs against repository instructions, official documentation, diffs, and a short evidence log.
A practical checklist for handing a coding-agent pull request to reviewers with scope, checks, instruction context, risk notes, and clean pass/fail records.
A practical boundary plan for giving coding agents useful repository context while keeping credentials, deployment rights, and CI tokens under human control.
A practical pattern for writing task briefs that give coding agents enough repository rules, acceptance criteria, and review handoff structure to produce changes a human can inspect.
A practical guide to writing repository-level instructions, agent rules, and task briefs that help coding agents work safely in real projects.
Use failing checks as the target, require a diagnosis before edits, keep diffs small, and report exact verification before review.
Build a small context stack for coding agents, then use Git worktrees and file ownership to keep parallel attempts reviewable.
Set up a coding agent with explicit repository rules, narrow credentials, source-backed model routing, and human approval before production writes.