Text-to-SQL fails on meaning, not syntax.
Oracle Select AI semantic context adds glossaries, catalogs, PL/SQL callbacks or MCP tools to NL2SQL.
https://t.co/8M8QkaRjxP
#SelectAI
You Don’t Need a UI/UX Designer Anymore
Build world-class landing pages with one prompt
No expensive design process or development costs
Just use (sceneai)with Lovable, Gemini, or Claude
Build a world-class website in minutes
This model is insane at design. And 88x cheaper than Claude Opus 5.5 on my test!
I asked M3.1 Flash (left) and Opus 5.5 (right) to build me a landing page for a hardware device launch.
MiniMax cost just $0.014 vs $1.22 for Opus, while being 4x faster and more token efficient.
3/3 First candidates: triggers, Forms validations and APEX validations that query other rows. Index the join columns first.
Docs:
https://t.co/9bfUgJfU20 #PLSQL
1/3 Many cross-table rules no longer need a trigger.
Oracle AI Database 26ai (23.26.1+) has SQL Assertions:
CREATE ASSERTION ... CHECK (NOT EXISTS (...))
The database enforces it and raises ORA-08601 on a violation. #Oracle26ai
2/3 Details that matter:
• DEFERRABLE INITIALLY DEFERRED checks at COMMIT
• Validation runs only when changed rows need it
• Big tables: create NOVALIDATE, validate later
• Limits: no aggregates, no ANSI/outer joins, no SYSDATE, READ COMMITTED only
I highly recommend cloudflare's security audit skill: https://t.co/Mu6Dm0fzk8
Run it on all your software. Run it with the free models. Use it even if you used a model to audit something - it will find much more things. Works in all agent harnesses and is model independent.
Move the rule out of the trigger. Oracle AI Database 26ai adds CREATE ASSERTION: cross-row rules in SQL, enforced by the database. #OracleDatabase
https://t.co/q5dV2l6yZC
Your APEX AI agent should never see more data than the user asking it.
In APEX 26.2, SQL run by supported AI Agent tools uses the requesting user's security context via Deep Data Security.
https://t.co/yJDJcVadkG
#OracleAPEX#AIAgents
1/3 Your agent didn't fail. Its summary quietly deleted the £200 rule.
Step 1: no refund over £200 without a human.
Step 22: history summarised, rule dropped.
Step 38: £900 refund, "policy followed".
That's a context engineering problem 🧵
Oracle's in-database AI agents get DevOps: export/import Select AI Agent teams as JSON, GET_DEFINITION for diffs, cross-schema sharing. Agents in Git.
https://t.co/JZj0lp1S3s #OracleAI
#OracleAPEX#AIAgentsOracle APEX 26.2 is out. Standout: SQL run by AI Agent tools uses the requesting user's security context (Deep Data Security), so an agent can't see more data than its user can.
https://t.co/yJDJcV9Fv8 #OracleAPEX#AIAgents
Claude Opus 5.5 prompt + Reverse Engineering MCP just destroyed 100+ software companies
this is f*cking insane...
Claude agent can now read any app without the source code.
Ask → Inspect → Trace → Prove → Rebuild
> ask: "how does search work in the Notes app?"
• Inspect: REA opens the binary, app, APK or site locally
• Trace: follows the feature from entry point to result
• Prove: every claim is tagged observed, inferred
• Rebuild: Claude writes your version and tests it
One case: a function rebuilt in C. 3,205 test cases passed, all 63 compiled bytes matched.
setup is one line: npx rea-agents setup + prompt
send the GitHub repo + Claude Opus 5.5 setup to your Claude
then read the best Opus 5.5 prompt practices in the article below
Your coding agent is paying frontier prices for multiple-choice questions.
Which notes to load?
Retry or escalate?
Big model or cheap one?
Most setups send all of that to Opus.
One simple split:
• Opus does the hard reasoning
• A fast decision model Jev handles it
BEFORE:
Opus 5.5 does everything.
Reads every file.
Decides every retry.
$6.42 per task.
AFTER:
Jev makes the small decisions.
Opus only does the hard reasoning.
Confidence thresholds catch the risky calls.
$2.00 per task.
Same agent.
Same code quality.
A third of the bill.
Full build below 👇
1. Oh shit, AI can do my job better than me
2. Software engineering is dead!
3. I can vibe code as much slop as I want!
4. Oh, things are not going well. Fable/Sol/Opus all suuuck
5. But what if I constrain the agent? Put it in a straitjacket?
6. Oh, the results are pretty good now. How do I go deeper?
7. *Orders 12 software engineering books from Amazon*
8. Software engineering is alive!