Product
AtlasBound is the evidence, decision, verification and consistency layer for reinforced AI-native development environments. It strengthens the environment your agent works in. It is not another code generator, IDE or agent.
A supportive layer around your agent
The same repository evidence, decision history and project controls support different engineering tasks. A QA pipeline is one application of them, not the product.
Problems we address
Each failure mode has a concrete mechanism and a practical example. Examples are illustrative, not measured customer results.
A bounded repository census and extraction paths create local records with source references. Local MCP tools retrieve the relevant evidence on demand, and the census records where knowledge was not collected, so a gap is never reported as an absence.
A component, its callers and the existing test fixtures become research inputs for the same change.
Mapped relationships and local lookup make existing usages, helpers and tests available before authoring. Before a change, the agent can ask what depends on a file, transitively, and get source references back. Research prerequisites can apply to configured test and component edits.
Find the sibling test and shared fixture before generating another test framework beside them.
Intake separates what research can establish from what needs a human decision. Before asking, the agent is instructed to check whether the question was already answered and to cite the earlier decision instead. Goals, scope, answers and acceptance criteria give later work a shared contract.
Ask whether dismissal behaviour may change, then carry the accepted answer into both implementation and testing.
Local Intake history retains recorded answers, decisions with who made them and when, any reasons noted with them, and development checkpoints. A later session can recover the reasoning as well as the resulting code.
Months later, a new session on the same service can read why a constraint was chosen, who recorded the decision and for which task, instead of rediscovering it in an incident.
Generated context packs are sealed against their source records and carry a workspace fingerprint. Resuming work preserves decisions while naming context that needs regeneration.
After a session reset, a changed source marks the old pack as stale and the next session is told so, instead of seeing it presented as current.
Reference checks compare names with the closed world and distinguish advice, a confirmation request and a blocking rule according to the evidence allowed to support them. Unknown does not automatically mean absent, and a cheap existence check suggests the nearest real names instead of guessing.
Today, where a reference check is set up, an unknown reference leads to a confirmation request with a lookup or correction instruction. Blocking is reserved for human-sealed, measured reference patterns, a lane not enabled in the current release.
Written project rules, approved patterns and verified conventions reach every session. When an edit departs from a verified convention, the edit gate asks for confirmation once and names the departure.
A recurring mistake becomes a written project rule or a verified convention that every session receives.
Repository records authored by an agent pass deterministic validation and a separate verifier before they count as verified. Missing proof withholds the knowledge claim rather than asserting it.
An authored repository record does not become verified coverage just because the agent says its research is complete.
Mechanisms exist at different levels of qualification. Status and limits for each: Development.
Company know-how
In most engineering organisations the reasons behind the code live in a few people’s heads and a lot of old chat threads. When those people move on, or the session ends, the reasons go with them. AtlasBound turns each settled question into a record the next person, team or agent can find.
By default, each record lives in your environment, under your own storage, backup and access practices, not in a hosted AtlasBound store. The optional decision exchange, described below, is the one exception.
AtlasBound Handoff · Our own skill
When you are ready for a fresh agent session, request a handoff first. The skill preserves the useful working context; you run /clear yourself and start the new session from the saved handoff.
Map → Ask → Verify → Enforce
The four pillars are stages of one loop, not four separate products. Where each pillar stops today is documented on Development.
Repository intelligence supplies architecture, modules, components, routes and APIs, callers, usage sites, tests, fixtures and helpers as local evidence with source references and provenance. While it researches a change, the agent can use local MCP tools to look up an exact identifier, list what exists and ask what depends on a file. It can also check whether a name is known and read the patterns your team has approved. Where a database schema is mapped, it can look up a table’s columns and who reads or writes it.
AtlasBound offers the agent only the tools your repository’s knowledge can actually answer, and says which ones it held back. When the code has moved past the last knowledge build, every session and answer says so.
Before development starts, Intake researches the requested operation and identifies missing explanations, incomplete requirements, conflicting information and unresolved edge cases. Questions research cannot settle are put to the developer, who answers or brings in the person who can decide. With the optional decision exchange, a question can be sent straight to a named teammate. The answers, the task’s scope and its acceptance criteria form the development contract used by implementation, testing and review.
A deterministic readiness check, not the agent, decides when an Intake is ready. Each decision is logged with who made it and when, with an optional note on why, and later sessions are told not to re-ask it.
During Intake the agent checks its proposed understanding against repository evidence and, where it has connected observation tools, against evidence from the running application. Intake records those observations as evidence of what the system does today; what it should do comes from the accepted decision. Intake then compiles decisions, research pointers, scope, checkpoints and unknowns into a context pack sealed against its source records.
Repository records authored by an agent pass a separate verifier before they count as verified, and are withheld when proof is missing. The authoring agent never certifies itself.
Local MCP tools serve current repository knowledge. Hooks deliver operating guidance and project rules, and re-deliver them after /clear or compaction. Intake context packs provide the ordered working brief. Configured gates check research prerequisites, Intake readiness and edit scope before protected changes, and every refusal names the missing condition and a next action.
Project rules, approved patterns and verified conventions reach every session; when an edit departs from one, the gate asks for confirmation. Over time the environment carries more of what your team has learned and depends less on what any one person remembers.
From research to development
Repository knowledge and the Intake context pack are complementary. MCP serves evidence from local records; hooks supply operating guidance; the pack preserves the task’s decisions and plan. Gates separately check the prerequisites for protected actions.
Source-linked technical facts, usage sites, prior decisions, and runtime observations your agent gathered through tools you connect.
Accepted intent, scope, research pointers, a validation plan, checkpoints and explicit unknowns, sealed against the Intake’s source records for freshness checks.
MCP retrieval and hook-delivered guidance expose project knowledge during work. The context pack is the ordered task brief the next session is instructed to read.
Configured research and Intake gates check applicable prerequisites. A supplied context alone grants no edit permission and proves no implementation outcome.
The aim is to reduce work built on missing context and unsupported assumptions, and to help agents implement the intended change within the project’s constraints.
Two different mechanisms
Giving an agent information and stopping an action are separate things. AtlasBound keeps them separate so neither is mistaken for the other.
Evidence, prior decisions and project rules are made available to the agent. The agent can read them. It can also ignore them, so context alone does not guarantee behaviour.
AtlasBound also tells the agent that silence from the edit gate is not a verdict: an allowed edit and an internal error look the same, so silence never means approval.
For configured protected surfaces, a gate can refuse an edit until the required research or Intake readiness is established. The refusal names the missing condition and a next action, and everything you have not protected proceeds as normal.
Which surfaces can be protected today, and what the gate covers, is listed on Development.
Scope
Terms we use
Next
The workflow page follows a single shared-component update through all four stages.