Chat Agents and Coding Agents
Chat agents primarily reason and communicate in conversation, while coding agents inspect and change a codebase using development tools. Use conversation for framing and a controlled coding environment for repository changes that need verification.
What You Will Be Able to Decide
- Explain chat agents and coding agents in product and business terms.
- Apply this decision: Use conversation for framing and a controlled coding environment for repository changes that need verification.
- Recognise this material risk: implementation advice is treated as an applied and tested change when no codebase was actually inspected.
- Ask a consultant for evidence rather than reassurance.
A founder is deciding what to delegate to AI and what evidence to require before accepting the result.
Chat agents primarily reason and communicate in conversation, while coding agents inspect and change a codebase using development tools.
A consultant can recommend and implement the technical approach. The founder still needs to decide which outcome matters, which risk is acceptable, and what evidence is sufficient.
The Founder Situation
A founder is deciding what to delegate to AI and what evidence to require before accepting the result.
The immediate question is chat agents and coding agents. The technical label matters only because it changes a product decision, a responsibility, or the evidence required before launch.
Technical term
Chat Agents and Coding Agents
Chat agents primarily reason and communicate in conversation, while coding agents inspect and change a codebase using development tools.
Treat it like a clause in a commercial agreement: its value comes from making expectations and consequences clear, not from sounding formal.
What Matters in Practice
Start with the product consequence, then choose the simplest technical treatment that protects it. A longer tool list is not a stronger plan.
For this decision, the useful standard is that the output satisfies explicit constraints and survives review outside the conversation that produced it.
- Make the decision explicit: Use conversation for framing and a controlled coding environment for repository changes that need verification.
- Ask what evidence would show that the chosen approach works.
- Name the person or provider responsible when the approach fails.
- Record the result in the AI work brief, review record, and acceptance criteria.
A Proportionate Decision
Use conversation for framing and a controlled coding environment for repository changes that need verification.
The principal risk is that implementation advice is treated as an applied and tested change when no codebase was actually inspected. This does not require the most expensive possible solution. It requires the consequence to be understood and the control to match it.
- Describe the user or business outcome that must be protected.
- Identify the most credible failure and its consequence.
- Compare the simplest adequate approach with one realistic alternative.
- Set a review point for when the decision may need to change.
Strong Evidence and Weak Reassurance
Warning Signs
- Nobody can explain how chat agents and coding agents changes a user or business outcome.
- The proposal does not address this risk: implementation advice is treated as an applied and tested change when no codebase was actually inspected.
- The only evidence is a successful demonstration of the easiest path.
- The decision has no named owner, boundary, or review point.
- A provider-specific feature is being mistaken for a permanent product requirement.
Questions to Ask a Consultant
- What decision are we making about chat agents and coding agents?
- Which user or business outcome does the recommendation protect?
- How have we reduced or accepted this risk: implementation advice is treated as an applied and tested change when no codebase was actually inspected.
- What evidence can I review without relying on the original implementer?
- What is deliberately deferred, and when will it be reconsidered?
- Who owns the accounts, data, documentation, and recovery process?
Key takeaway
Key Takeaway
Chat agents primarily reason and communicate in conversation, while coding agents inspect and change a codebase using development tools. The founder's job is to make the consequence explicit; the consultant's job is to recommend and demonstrate a proportionate implementation.