OpenAI deletes the entire Assistants API
AUG 26, 2026
The hard cutoff, happening now. Every integration on /v1/assistants must rearchitect. The replacement is a different architecture, not an endpoint swap.
Someone changes an API your code depends on, and code that worked yesterday doesn't.
APISynQ detects the change, finds every affected app, and opens pull requests verified with your own tests.
Every number is real. Every source is linked.
None of these teams lacked good engineers. They lacked a system that knew who depended on what.
Self-Maintaining APIs
Whether the API is yours or a provider's like Stripe, APISynQ detects the breaking change, finds the affected code down to file and line, opens fix PRs, and verifies them with your own tests.
How it works
Detects breaking changes, finds affected code, opens PRs, verified with your own tests.
Every API you publish and every one you consume.
APISynQ watches your providers: external specs by polling, internal ones on publish.
Breaking changes caught, affected code found.
Every diff is classified as breaking or safe, with affected call sites at file:line in every consumer. A repo that couldn't be scanned says so. It is never reported as safe.
Code changes generated for every affected app.
One migration PR per consumer, quoting the real call sites. Deprecations and adoptions alike.
Proven with your own tests. Verified pull requests.
Their CI. Their acceptance tests. Nothing is migrated until the verified pull request is green and merged. Then one number: time to all-green.
Both sides of the API
See who a change breaks before you publish. Gate the release until every affected consumer has a plan.
Define what OK means. A 200 from the producer is not good enough: fixes verify against your real scenarios and test cases, with your collection, your data, your environment. Your definition of working, not theirs.
Anyone can buy a whistle. The referee matters because both teams accept the calls.
93% of teams struggle with API collaboration (Postman 2025).
The objection
Fair question. Here is what a coding tool cannot do, no matter how good it gets:
Claude Code sees the code in front of it. An API change breaks code in ten other repositories, owned by other teams, sometimes other companies. Someone has to know they all exist.
To fix every consumer, you first need the map: who calls this API, from which file, in which app, in which environment. That map is built by scanning everyone's code and confirmed by both teams. No prompt produces it.
Our fix runs against the consumer's own tests, in their own pipeline, against the producer's new API, before a human ever reviews it. A green check from the customer's own CI is not something a chatbot can offer.
AI tools wait to be asked. Stripe does not wait. We watch every provider all the time, so the work starts the moment the change ships, not the moment someone notices.
A producer will not block a release, and a consumer will not merge a bot's PR, on a guess. Both need a system whose word they both accept. That trust is earned by being right, fix after fix. It cannot be downloaded.
Each fix that runs through APISynQ is recorded: what changed, what fixed it, whether it passed. That record grows with every customer. A tool starting from scratch starts from zero.
And here is the twist: AI writing more code means APIs change faster and break more.
AI is not our competition. It is our demand engine, and our workforce.
Built for agents
APISynQ ships as an MCP server. Your agents run the same workflow your team does, from API change to verified PR.
whats_changedwhat changed across the providers you depend onaffected_codethe affected code for a change, at file:lineopen_fix_propens a fix PR for an affected consumersync_statuswho is green again, and who isn't yet"89% of developers use AI, but only 24% design APIs for AI agents." 7.53M calls to AI APIs in 12 months, +40% YoY, Postman platform data (Postman 2025).