How to choose your coding agent: the decision in four questions
Guide to choosing a coding agent with judgment: what you already pay for, terminal or IDE, your real budget and how to test without marrying anyone.
Guides and comparator for AI programming tools: terminal agents like Claude Code and Codex, IDEs like Cursor and Windsurf, builders like Lovable and Bolt, and the orchestration, review and context layer around them. With 30 tools analyzed and checked pricing.
Guide to choosing a coding agent with judgment: what you already pay for, terminal or IDE, your real budget and how to test without marrying anyone.
How to document a SaaS product with AI: video guides with Guidde, a help chatbot with FastGPT, onboarding decks with Decktopus and an update routine.
Guide to solving context lost between sessions: from the instructions file to PaellaDoc's local factory with memory, gates and evidence.
Guide to reviewing agent code: the three-pass technique, CodeRabbit as first filter and the typical failures AI commits with confidence.
Security guide for agent code: the typical failures AI introduces, directed review, secrets and dependencies, and what to automate.
Guide to building your agent workflow: the instructions file, calibrating what to delegate, review with a net and the habits separating success from scares.
Guide to building with AI without code: choosing between Lovable, Bolt and Replit, iterating without burning credits and knowing when to eject to code.
Guide to parallel agent work: slicing independent tasks, orchestrating with Conductor or Codex's cloud and not dying in review.
Guide to batch work with AI: the pilot that defines the pattern, scaling with Devin or Conductor and verifying twenty changes without reviewing twenty.
Guide to coding agents' real cost: the map from free to intensive, the two-agent strategy and the patterns that blow up the bill.
Guide to automating with free agents: Gemini CLI and OpenCode in scripts and scheduled tasks, Goose for flows that cross tools.
They are built for this specific job, not adapted to it. Each one has its own review with a verdict, verified pricing and alternatives.
The open source agent for VS Code that runs on whatever model you give it.
Deploy Python functions on GPUs and call them as endpoints from your own product.
Sourcegraph's agent: fixed plans from $20 a month, or pay-as-you-go with no minimum.
Inference infrastructure for serving models in production.
Block's open agent, extensible and built to automate beyond code.
The AWS editor that writes requirements, design and tasks before touching a line of code.
The open source agent that picks up the labelled issue and opens the pull request on your own infrastructure.
The ultra-fast open source editor with agents and native collaboration.
Anthropic's coding agent: works in your terminal, your IDE and the web.
The code editor built around AI, with agents inside the IDE.
OpenAI's coding agent, included with ChatGPT: local in your terminal or in the cloud.
The open source terminal agent that works with any model provider.
The coding assistant built into GitHub and your IDE, from $10.
A catalogue of open models with managed inference to call them from your product.
The veteran free terminal coding agent: you bring the API key.
Orchestrates several Claude Code agents in parallel from a Mac app.
Open-source platform for building RAG chatbots on your documents.
Automatic pull request review with context: it comments before a human arrives.
Google's asynchronous agent: leave it tasks and it brings back finished changes.
Open source agent for VS Code and JetBrains: the tool is free and you only pay for the model.
The autonomous local software factory: from discovery to validated code on your Mac.
Vercel's interface generator: from description to ready components and pages.
The Google editor where the agent drives editor, terminal and browser, and hands back proof of what it did.
Alibaba's terminal agent, now paid, with models that punch above their price.
Build the app by describing it, with database, users and deployment already included.
Deterministic static analysis first and an AI agent second, with security as the argument.
Cognition's autonomous engineer, now across four surfaces: Desktop (the former Windsurf), Cloud, CLI and Review.
Moonshot's terminal agent: open source with very low API prices.
The complete cloud environment where the agent builds, runs and deploys your app.
ByteDance's AI IDE: frontier models at rock-bottom prices.
The terminal rebuilt around AI: agents, completions and teams.
One API for hundreds of AI models, with a single key.
Pull request reviewer that indexes the whole repository before commenting on a change.
Describe the app you want and it builds it complete, database and deployment included.
Pull request review by specialised agents, with a credit pool shared across the team.
The cheapest pull request reviewer in the segment, with an editor extension included.
Google's terminal agent, open source with a generous free tier.
An IDE coding assistant you can deploy on your own infrastructure.
Builds and edits complete web apps from the browser with an agent.
Google's AI inside VS Code and the JetBrains IDEs, with context from your repository.
They are not sector tools, but the guides above genuinely use them for specific tasks. They sit apart because, mixed in, they would bury the ones above.
The assistant behind the GLM models, with its weights published openly.
Step-by-step video guides created automatically as you work.
Professional presentations generated with AI in minutes.
The assistant autocompletes and answers while you type. The agent takes the whole task, reads the repository, edits files and executes until done, with your review at the end. Agents like Claude Code or Codex are this generation's real productivity jump.
It depends on what you already pay for and where you work: if you have paid Claude or ChatGPT, their agent is included. To try for free, Gemini CLI and Qwen Code have generous free tiers, and Copilot has the cheapest paid entry inside the IDE.
For validating ideas and internal tools, in practice yes: they produce the complete app from a description. For a serious growing product, the project ends up demanding real code, and exporting to code is the criterion separating the serious options.
From zero on free tiers and open source tools, up to $20-25 for the typical subscription of a frontier agent or IDE. Real spend climbs with model consumption under intensive use, so understand each plan's limits before choosing.